Early disease detection

New tests promise to find cancer and other diseases long before you feel anything wrong. Finding something earlier only helps if treating it earlier makes you live longer, and for most of these tests nobody has yet shown that it does.
Detecting a disease earlier is not the same as living longer. A screening test earns the word "works" only when a randomised trial shows that people who were screened died less often than people who were not, and almost none of the tests marketed to healthy adults have cleared that bar. Several have been tested against it and failed. A small number of early-detection tools — ApoB, coronary artery calcium, Lp(a), blood pressure, and low-dose CT in heavy smokers — do have genuinely strong evidence, because each one feeds into a treatment with randomised outcome data behind it.
- The largest systematic assessment of screening — 19 diseases, 39 tests, 48 randomised trials — found no screening test at all with an all-cause mortality benefit whose confidence interval excluded the null (PMID 25596211).
- NHS-Galleri, the only randomised trial of a multi-cancer blood test, missed its primary endpoint: incidence rate ratio for stage III/IV cancers 1.03 (95% CI 0.92–1.14), p=0.6324. Mortality is not expected to read out before roughly 2031.
- Galleri detects 16.8% of stage I cancers (95% CI 14.5–19.5). A test sold for early detection finds fewer than one in five cancers at the earliest stage.
- Most longevity-clinic tests are Laboratory Developed Tests, which are regulated for whether the assay measures what it claims — not for whether acting on the result helps anyone.
- Earlier detection carries real, quantified harms: 49% of screen-detected lung cancers in the highest-quality trials were estimated to be overdiagnosed, and a false positive in PATHFINDER took a median 162 days to resolve.
The bar a screening test has to clear
A screening test is not judged by how clever the technology is, how many cancers it finds, or how impressive the survival statistics of the people it finds them in. It is judged by one comparison: take a large group of people, randomly screen half of them, and count how many people in each half are dead years later.
That design is the only one that removes the biases described in the next chapter. Every other kind of evidence — better five-year survival, more cancers found, more cancers found at an early stage — can be produced in full by a test that saves nobody.
Why earlier is not automatically better
This is the most important chapter on this page. Four ideas explain almost every misleading claim in early-detection marketing, and none of them requires any statistics to understand. Without them, every screening claim sounds good.
The lead time available is not small. Modelling of PSA screening estimated a mean lead time of 4.59 years (95% CI 3.24–5.93) in white men and 6.78 years (5.42–8.20) in Black men — half a decade of extra apparent survival purely from moving the diagnosis date (PMID 17501937).
And this is not a theoretical worry. A 2025 simulation showed that a study design used to evaluate mammography programmes generated an apparent 6–8% reduction in breast-cancer mortality in scenarios where screening had literally zero effect, purely from lead time — and the false signal grew larger as overdiagnosis increased (PMID 40790859).
What overdiagnosis measures in practice
- Lung CT screening: in a meta-analysis restricted to the two randomised trials at low risk of bias (8,156 participants), 49% of screen-detected cancers were estimated to be overdiagnosed — and restricting to higher-quality trials made the estimate larger, not smaller (PMID 32194774).
- PSA screening: modelled overdiagnosis of 22.7% of screen-detected cancers in white men and 34.4% in Black men (PMID 17501937).
- Overdiagnosis needs three ingredients, and multi-cancer blood tests and whole-body MRI supply all three: a reservoir of harmless indolent disease, a test sensitive enough to find it, and a screened population with meaningful chances of dying of something else first.
4. False positives, and why a test's accuracy is not a fixed property. Positive predictive value — the chance that a positive result means real disease — depends on how common the disease is in the people being tested, not just on how good the test is. A test with 99.5% specificity sounds close to perfect. In a group where one person in 200 has the condition, most positives are real. In a group where one in 2,000 has it, most positives are false. The same test, unchanged, is transformed by who takes it.
The same multi-cancer test, three populations, three predictive values
| Study | Design | Positive predictive value |
|---|---|---|
| PATHFINDER (NCT04241796) | Prospective, 6,621 analysable results | 38% — 35 cancers among 92 positives |
| PATHFINDER 2 (NCT05155605) | Prospective, single-arm, 35,878 enrolled | 60.3% (conference-presented) |
| NHS-Galleri (NCT05611632) | Randomised, ~142,000 participants | 52.0% overall; 58.0% in round 1 |
None of this means screening never works. It means the proof has to come from randomised trials with death as the endpoint, and that when such trials are run the result is usually negative. The clearest exception is worth naming honestly: the National Lung Screening Trial found that low-dose CT in heavy smokers reduced lung-cancer mortality by 20.0% (95% CI 6.8–26.7, p=0.004) and all-cause mortality by 6.7% (1.2–13.6, p=0.02), and NELSON independently found a lung-cancer death rate ratio of 0.76 (0.61–0.94) at ten years in men.
Screening can work. It worked in a narrowly defined high-risk group, with a specific test, at a specific interval — and even there, NLST reported that 96.4% of positive scans were false positives. That is what a genuine success in this field looks like, costs included.
The ledger: where each test actually stands
Early-detection tests by the strongest evidence that genuinely exists
Ranked on: the best human evidence for using the test in the population it is being sold to. "Marketed, unproven" here means the test is sold to healthy adults without an approval for that use and without randomised evidence that acting on the result improves any outcome — not that the laboratory is doing anything wrong. Analytical quality and clinical usefulness are different things, and the regulatory system checks the first far more carefully than the second.
ApoB
ApprovedCounts atherogenic lipoprotein particles directly — LDL cholesterol measures the cargo, apoB measures the vehicles.
The marker itself is not the intervention. What makes apoB strong is that it points to lipid lowering with statins, ezetimibe and PCSK9 inhibitors — among the most robust randomised mortality evidence in all of medicine. In the 20-year ATTICA cohort of 3,042 initially disease-free adults, apoB ≥100 mg/dL predicted major cardiovascular events regardless of hs-CRP, while LDL-C and non-HDL-C predicted only when hs-CRP was elevated.
Standard clinical laboratory assay; ACC/AHA guidance supports its use to refine cardiovascular risk assessment.PMID 42435999Blood pressure measurement
ApprovedArterial pressure, the most-studied modifiable risk factor there is.
Included here as the benchmark. It is cheap, repeatable, and every step of the chain from measurement to treatment to fewer deaths has randomised evidence behind it. That is the standard every test below should be measured against.
Universal standard of care; effectively free at home.Low-dose CT lung screening
ApprovedLung nodules in people with a heavy smoking history.
The strongest example of screening working. NLST: 20.0% lung-cancer mortality reduction and 6.7% all-cause mortality reduction. NELSON: lung-cancer death rate ratio 0.76 (0.61–0.94) in men at 10 years. The cost is real too — around 49% of screen-detected cancers may be overdiagnosed, and 96.4% of positive scans in NLST were false positives.
USPSTF-recommended; performed on FDA-regulated CT devices.PMID 21714641 · NCT00047385Coronary artery calcium (CAC) scoring
ApprovedCalcified atherosclerotic plaque in the coronary arteries, reported as an Agatston score — a direct measurement of accumulated disease, not a statistical estimate.
In 7,042 asymptomatic MESA and Dallas Heart Study participants followed 12.3 years, a score ≥100 predicted cardiovascular events across all sex and race groups with no interactions, and improved discrimination and reclassification for coronary heart disease — though not for stroke. What CAC does is reallocate a proven therapy toward people more likely to benefit. The mortality evidence lives in the statin trials, not in the scan, and it should be described in exactly those terms.
FDA-regulated CT; established risk-stratification use. No randomised trial has ever tested whether CAC screening reduces mortality.PMID 32806939Lipoprotein(a) measurement
ApprovedAn LDL-like particle carrying apolipoprotein(a); concentration is largely genetically set and essentially fixed for life.
Causally linked to atherosclerotic disease by Mendelian randomisation. But no completed randomised outcomes trial has yet shown that lowering Lp(a) reduces cardiovascular events; the pivotal trials are pelacarsen (NCT04023552) and olpasiran (NCT05581303, NCT07136012). Knowing your Lp(a) changes how aggressively you treat everything that is modifiable, and identifies relatives who should be tested. It does not yet unlock an Lp(a)-specific treatment.
Standard clinical laboratory assay. Because the level does not move, guidelines converge on one-time lifetime measurement in adults.NCT04023552Screening colonoscopy
ApprovedAdenomas and cancers, seen and removed directly.
NordICC, the only randomised trial: 10-year colorectal cancer incidence 0.98% versus 1.20% (RR 0.82, 0.70–0.93), but colorectal-cancer death 0.28% versus 0.31% (RR 0.90, 0.64–1.16, not significant) and all-cause death 11.03% versus 11.04%. Number needed to invite to prevent one cancer: 455 (270–1,429). The incidence reduction is real and substantial; the mortality signal has not been cleanly demonstrated in ten years of follow-up.
Standard of care worldwide.PMID 36214590 · NCT00883792Cologuard Plus (stool DNA)
ApprovedMethylated DNA markers plus faecal haemoglobin in stool.
In BLUE-C (20,176 adults, all with reference colonoscopy): 93.9% sensitivity for colorectal cancer (87.1–97.7), 43.4% for advanced precancerous lesions, 90.6% specificity for advanced neoplasia. Better than FIT on both sensitivities and worse on specificity, meaning more people sent for a colonoscopy they did not need. Note that press coverage widely quotes 95%/94% — use the peer-reviewed figures.
FDA-approved 4 October 2024 for average-risk adults 45+.PMID 38477986 · NCT04144738Shield (blood-based colorectal screening)
ApprovedCirculating tumour DNA alterations from colorectal cancer.
83.1% sensitivity for colorectal cancer, but only 13.2% for advanced precancerous lesions. FDA labelling states the test has limited detection (55–65%) of stage I colorectal cancer and does not detect 87% of precancerous lesions. Since colonoscopy's main value is removing polyps before they become cancer, that gap is the whole story. The American Cancer Society positions blood tests as second-line, for people who will not do colonoscopy or stool testing.
FDA-approved PMA P230009, July 2024 — the first blood test approved as a primary colorectal screening option, average risk, 45+.PMID 38477985 · NCT04136002 · FDA P230009ctDNA companion diagnostics (Guardant360 CDx, FoundationOne Liquid CDx)
ApprovedActionable tumour mutations in people who already have a diagnosed cancer, to match them to targeted therapy.
A legitimate, regulated, evidence-backed use of liquid biopsy — and one with nothing to do with screening healthy people. It is included here because the credibility of this category is routinely borrowed by tests that have not earned it.
FDA-approved companion diagnostics, with indications added across lung, breast and colorectal cancer through 2026.p-tau217 blood tests for Alzheimer's (Lumipulse, Elecsys)
ApprovedPlasma markers of amyloid pathology.
A genuine advance in the population it was validated in. In clinical validation, 91.7% of positive Lumipulse results had confirmed amyloid pathology and 97.3% of negative results were confirmed negative, with fewer than 20% indeterminate. "Cleared" is a lower bar than "approved": it means substantial equivalence to an existing device, not proof of clinical benefit.
FDA 510(k)-cleared for patients with signs and symptoms of cognitive impairment — Lumipulse (K242706, 16 May 2025) and Elecsys pTau217 (24 August 2026).FDA K242706p-tau217 ordered in cognitively normal adults
Approved · off-label useThe same assay, used as a screening test on people with no symptoms.
Amyloid can be present 15–20 years before symptoms, and many amyloid-positive older adults never develop dementia. The ~92% PPV was measured where amyloid prevalence is high; in a symptom-free population it will fall sharply. Anti-amyloid therapies are approved for early symptomatic disease, not asymptomatic positivity — so a positive result today changes nothing about management, cannot be un-known, and carries insurance, employment and psychological consequences.
Outside every current label and guideline. The Alzheimer's Association's first blood-biomarker practice guideline explicitly does not extend to cognitively unimpaired individuals, citing the lack of clinical relevance in that population.DOI 10.1002/alz.70535Galleri (multi-cancer early detection)
Phase 3 trialsMethylation signatures in cell-free DNA, across more than 50 cancer types, plus a predicted cancer signal origin.
The only multi-cancer blood test with a randomised trial, and it missed its primary endpoint: stage III/IV incidence rate ratio 1.03 (0.92–1.14), p=0.6324. Because the trial used a fixed-sequence testing strategy, everything after that failure is formally exploratory. Cancer mortality has not been reported; study completion is January 2031.
A Laboratory Developed Test — not FDA cleared or approved. Breakthrough Device designation 2018; PMA submitted 29 January 2026; FDA Advisory Committee meeting scheduled 23 September 2026.NCT05611632 · PMID 34176681ctDNA molecular residual disease monitoring (Signatera and similar)
Phase 3 trialsResidual or recurrent tumour DNA after curative-intent treatment, before it is visible on imaging.
That ctDNA-detected recurrence predicts worse outcomes is well established. Whether acting earlier on that information improves survival is not, in most indications. Detecting recurrence sooner and starting the same therapy sooner is the textbook setting for lead-time bias producing impressive survival curves without changing when anyone dies.
Laboratory Developed Test with Medicare coverage under MolDX; Natera submitted a PMA for a bladder-cancer companion-diagnostic indication on 2 February 2026, supported by the randomised phase 3 IMvigor011 dataset.Whole-body MRI screening (Prenuvo, Ezra)
Sold · unprovenAnatomical abnormalities across the body in people with no symptoms.
A meta-analysis of 12 studies and 5,373 asymptomatic subjects found pooled critical plus indeterminate incidental findings of 32.1% (18.3–50.1) and false-positive findings of 16.0% in the six studies reporting them. Crucially, no included study verified negative findings beyond five years, so the true false-negative rate is unknown: a reassuring whole-body MRI is reassurance of unmeasured value.
MRI scanners are cleared devices; the screening use is not an approved indication. The American College of Radiology states there is no documented evidence that total body screening is cost-efficient or effective in prolonging life, and the Canadian Association of Radiologists formally opposed the practice in June 2025.PMID 30932247Polygenic risk scores
Sold · unprovenHundreds to millions of common variants summed into a single percentile of genetic liability for a trait.
No randomised trial has shown that returning a score to a patient improves any outcome, and scores from different vendors for the same disease frequently disagree. Moving from the population median to the top few percent typically shifts lifetime risk two- to three-fold — usually less informative than a family history, a blood pressure reading or a smoking status.
Effectively unregulated, sold as Laboratory Developed Tests or wellness products. There is no FDA-approved polygenic risk score for population risk stratification.PMID 30926966Whole-genome or exome sequencing in healthy adults
Sold · unprovenMonogenic disease risk plus the ACMG secondary-findings list (SF v3.3, 84 genes).
The one randomised trial, MedSeq, sequenced 100 generally healthy adults: 22% (12–36) received a new monogenic disease-risk result, and 4% (0.01–15) had any evidence of the predicted condition. The authors concluded that adding sequencing to primary care reveals findings of uncertain clinical utility and may prompt additional clinical actions of unclear value. A narrow, high-actionability gene panel in a younger adult is a different and more defensible proposition than an open-ended genome scan in middle age.
Laboratory Developed Test. No randomised trial of mortality.PMID 28654958 · NCT01736566
Side by side
| Test | What it detects | Regulatory status (US) | Randomised mortality benefit? | Approximate cost |
|---|---|---|---|---|
| Galleri (GRAIL) multi-cancer blood test | Methylation signature of cell-free DNA across 50+ cancer types | Laboratory Developed Test — not FDA approved. PMA submitted 29 Jan 2026; advisory committee 23 Sep 2026 | No — tested and failed its primary endpoint (NHS-Galleri). Mortality unreported until ~2031 | ~$949 list, generally not insured |
| Shield (Guardant) | Circulating tumour DNA from colorectal cancer | FDA-approved PMA P230009 (Jul 2024), first-line CRC screening, average risk, 45+ | No randomised mortality trial | Medicare-covered; list prices vary by payer and were not verified |
| Cologuard Plus (Exact Sciences) | Methylated DNA markers plus faecal haemoglobin in stool | FDA-approved 4 Oct 2024 | No direct trial. Its colonoscopy-referral pathway inherits NordICC's non-significant mortality result | Medicare-covered; list prices vary by payer and were not verified |
| Screening colonoscopy | Adenomas and cancers, directly | Standard of care | Incidence yes (RR 0.82). CRC mortality not significant (RR 0.90, 0.64–1.16). All-cause no (RR 0.99) | $1,000–3,000 |
| Low-dose CT lung screening | Lung nodules in people at high risk from smoking | USPSTF-recommended; FDA-regulated devices | Yes — the strongest case. 20% lung-cancer and 6.7% all-cause mortality reduction, with ~49% overdiagnosis | $200–400 |
| ctDNA for therapy selection | Actionable mutations in a known cancer | FDA-approved companion diagnostics | Not applicable — treatment selection, not screening | $3,000–5,000; often covered |
| ctDNA residual-disease monitoring | Residual tumour DNA after curative treatment | Laboratory Developed Test with Medicare coverage; one PMA filed Feb 2026 | Not established for survival in most settings | Per-draw list prices were not verified |
| Polygenic risk scores | Aggregate common-variant liability for a trait | Largely unregulated; direct-to-consumer | No | Usually bundled; list prices were not verified |
| Whole-genome or exome screening in healthy adults | Monogenic risk plus ACMG SF v3.3 (84 genes) | Laboratory Developed Test | No. The one randomised trial found results of uncertain clinical utility | $300–3,000 |
| Alzheimer's blood biomarkers (p-tau217) | Amyloid pathology | FDA-cleared 510(k) — for symptomatic patients only | Not applicable — guidelines explicitly exclude asymptomatic use | ~$200–700 |
| Whole-body MRI (Prenuvo, Ezra) | Anatomical abnormalities across the body | Not an FDA-approved screening indication; the scanners are cleared, the screening use is unvalidated | No. ACR: no documented evidence it is cost-efficient or effective in prolonging life | $1,199–2,499 |
| Coronary artery calcium | Calcified coronary plaque | FDA-regulated CT; established risk-stratification use | No trial of CAC screening mortality — but it genuinely improves risk classification and directs a proven therapy | $100–400 |
| ApoB | Atherogenic particle number | Standard clinical laboratory assay | The marker is not the intervention; apoB-lowering therapy has extensive randomised mortality evidence | $20–70 |
| Lp(a) | Genetically determined lipoprotein(a) concentration | Standard clinical laboratory assay | Causal by Mendelian randomisation; no completed outcomes trial has yet shown that lowering it reduces events | $30–100 |
Approved, cleared, or neither: the three regulatory pathways
| Pathway | What it actually requires | Examples on this page |
|---|---|---|
| PMA (premarket approval) | The highest bar: valid scientific evidence of safety and effectiveness, usually including a pivotal clinical trial. | Shield (P230009); Cologuard Plus; Guardant360 CDx; FoundationOne Liquid CDx |
| 510(k) clearance | Demonstration of substantial equivalence to a device already on the market. A markedly lower bar — "cleared" is not "approved". | Lumipulse pTau217 ratio (K242706); Elecsys pTau217 |
| Laboratory Developed Test (LDT) | Designed, made and used inside one CLIA-certified laboratory. CLIA governs analytical validity and laboratory quality — that the assay measures what it claims, reproducibly. CLIA imposes no requirement whatsoever to demonstrate clinical validity or clinical utility, and since the 2025 vacatur there is no FDA premarket review either. | Galleri; Signatera; most polygenic risk scores; most biological-age, advanced lipid, hormone and multi-analyte longevity panels |
Multi-cancer blood tests: what Galleri actually found
Cell-free DNA is fragmented DNA circulating in plasma, most of it shed by dying white blood cells. Tumours contribute cfDNA carrying cancer-specific methylation patterns. Galleri sequences targeted methylation regions and applies a machine-learning classifier to answer two questions: is a cancer signal present, and where is it likely to be coming from.
The technology is real. The question is what it does when pointed at healthy people, and unusually for this field, that has actually been tested.
Pivotal validation: CCGA substudy 3 (2,823 cancer, 1,254 non-cancer)
| Metric | Result (95% CI) |
|---|---|
| Specificity | 99.5% (99.0–99.8) |
| Overall sensitivity, all stages | 51.5% (49.6–53.3) |
| Stage I sensitivity | 16.8% (14.5–19.5) |
| Stage II sensitivity | 40.4% (36.8–44.1) |
| Stage III sensitivity | 77.0% (73.4–80.3) |
| Stage IV sensitivity | 90.1% (87.5–92.2) |
| Stage I–III, 12 pre-specified deadly cancers | 67.6% (64.4–70.6) |
| Stage I–III, all cancers | 40.7% (38.7–42.9) |
| Cancer signal origin accuracy in true positives | 88.7% (87.0–90.2) |
The exploratory findings, stated with the caveat attached
- Stage IV cancers, overall: 14% reduction, IRR 0.86 (0.744–0.998) — nominally significant, with an upper confidence bound of 0.998.
- Stage IV by round: 0.91 (0.71–1.18) in round 1, 0.78 (0.57–1.06) in round 2, 0.74 (0.57–0.95) in round 3.
- Stage I–II diagnoses after three rounds: +16%. Emergency-presentation diagnoses: −25%. Cancers first found after symptoms: −21%.
- Test performance in the trial: detection rate 0.48% (937 cancers among 1,801 positive tests), PPV 52.0%, specificity 99.55%, cancer signal origin accuracy 92.5%, and no serious adverse events reported.
- Episode sensitivity was 54.7% for the 12 pre-specified cancers and 30.7% across all cancers — meaning roughly two of every three cancers arising in the screened population were missed.
PATHFINDER 2, the registrational study, enrolled 35,878 people and reported at ASCO 2026 a specificity of 99.6%, a PPV of 60.3%, episode sensitivity of 69.8% for the 12 deadliest cancers and 39.3% across all cancers, cancer signal origin accuracy of 91.3%, and a median 48 days to diagnostic resolution; 213 participants (0.6%) underwent invasive procedures, 90.5% of them non-surgical. These are better operating numbers than the earlier PATHFINDER study, which reported a PPV of 38%.
But PATHFINDER 2 is single-arm. It has no control group, so by design it cannot demonstrate that anyone lived longer — no matter how large it is or how good the numbers look. Note also that GRAIL's September 2025 top-line release quoted a PPV of 61.6% and sensitivities of 73.7% and 40.4%; the ASCO 2026 presentation quoted 60.3%, 69.8% and 39.3%. These are different cuts of the same study, and all of it is conference-presented rather than peer-reviewed.
One more thing worth knowing before ordering the test: a negative result is not a clean bill of health. At 30.7% episode sensitivity across all cancers in NHS-Galleri, a normal result leaves most cancers arising in a screened population undetected. False reassurance is a real harm, and it is the one nobody markets against.
Colorectal screening: where the label says more than the marketing
Colorectal cancer is the best case study in this whole section, because it is the one place where a blood test, a stool test and a direct-visualisation procedure can be compared head to head, all against the same reference standard, all with published pivotal trials.
The thing that matters most is easy to miss: colonoscopy's value is not primarily that it finds cancer. It is that it finds and removes advanced precancerous polyps, so cancer never develops. Any test that cannot do that is playing a different game, however good its cancer sensitivity looks.
The two FDA-approved non-invasive tests, on their pivotal numbers
| Metric | Cologuard Plus (BLUE-C) | Shield (ECLIPSE) |
|---|---|---|
| Sensitivity for colorectal cancer | 93.9% (87.1–97.7) | 83.1% (72.2–90.3) |
| Sensitivity for advanced precancerous lesions | 43.4% (41.3–45.6) | 13.2% (11.3–15.3) |
| Specificity for advanced neoplasia | 90.6% (90.1–91.0) | 89.6% (88.8–90.3) |
| Comparator in the same trial | FIT: 67.3% cancer sensitivity, 23.3% for advanced lesions | Reference colonoscopy in all 7,861 evaluable participants |
| Population | 20,176 asymptomatic adults 40+ | 10,258 enrolled, average-risk screening population |
| Approval | FDA-approved 4 Oct 2024 | FDA PMA P230009, Jul 2024 |
Genomes, whole-body scans, and brain biomarkers
Three more categories dominate the longevity-clinic menu. Each has a different failure mode, and none of them is that the underlying science is fake.
Polygenic risk scores: the ancestry problem is not a footnote
- A polygenic risk score is a population-level statistical construct — it places you in a percentile of a genetic liability distribution. It is not a diagnosis and it is not a mechanism.
- Scores available today are several times more accurate in people of European ancestry than in anyone else, an inescapable consequence of Eurocentric bias in the genome-wide association studies they are built from. Unlike a drug that works somewhat better in some groups, polygenic scores perform better in European-descent populations essentially universally, so deploying them clinically today would widen health disparities rather than narrow them (PMID 30926966).
- The population-genetic mechanism is well characterised: across 37 UK Biobank traits, roughly 30% of heritability comes from European-specific variants, and under negative selection about half the heritability of some traits can come from variants present in Europe and absent in Africa. The people in the tails of the risk distribution — precisely the ones a score is meant to identify — may not be identified at all when the score was built elsewhere (PMID 33691092).
- No randomised trial has shown that returning a score to a patient improves any clinical outcome. Vendors frequently disagree with each other for the same disease and the same person. And a low score is the more dangerous error: it does nothing to protect against the behaviour and environment that cause most disease, while feeling like permission.
- For scale, in the most aggressive commercial application — polygenic embryo screening — a narrative review calculated absolute risk reductions of roughly 0.02% to 10.1%, implying between 10 and 5,000 IVF patients tested to prevent one affected offspring (PMID 40213363).
Sequencing healthy adults: read the 22% and the 4% together
- In MedSeq, the only randomised trial, 100 generally healthy adults aged 40–65 were randomised to a family-history report alone or family history plus interpreted whole-genome sequencing. 22% (12–36) of sequenced patients received a new monogenic disease-risk result. Only 4% (0.01–15) had any evidence of the predicted condition.
- Genotype is not phenotype. Penetrance measured in unselected populations is generally far lower than penetrance estimated from families who came to attention because they were affected.
- Primary-care physicians recommended new clinical actions for 34% of sequenced patients versus 16% in the family-history arm, and geneticists rated the management of 18% of monogenic results as inappropriate. The authors' own conclusion: sequencing in primary care reveals findings of uncertain clinical utility and may prompt additional clinical actions of unclear value.
- The current ACMG secondary-findings list, SF v3.3 (June 2025), covers 84 genes and adds ABCD1, CYP27A1 and PLN. Only pathogenic or likely pathogenic variants that are clinically actionable are reported — actionability is the inclusion criterion, which is the right principle.
- The realistic downstream picture: variants of uncertain significance vastly outnumber actionable ones, classifications get revised in both directions over time, and a positive monogenic result triggers cascade testing across a family, insurance and disclosure questions, and often lifelong surveillance for something that may never appear.
What good evidence looks like, and what changed in 2025–2026
This section is not an argument that measuring things is pointless. It is an argument for one specific discipline: the test has to connect to a treatment that has itself been shown to help. The cardiac markers are the clean example, and they are worth studying precisely because they show how modest a chain of reasoning has to be to count.
ApoB counts atherogenic particles directly, and points to lipid-lowering therapy that has among the most robust randomised mortality evidence in medicine. Coronary artery calcium measures accumulated plaque rather than estimating risk, and reallocates statins toward the people most likely to benefit — in 5,324 consecutive asymptomatic middle-aged patients, calcium scoring reclassified 45% of them relative to the pooled-cohort risk equation, 31% downwards and 14% upwards. Blood pressure has the strongest chain of all, and costs nothing.
But even here the honesty has to run both ways. No randomised trial has tested whether calcium screening reduces mortality, and in one lung-screening-eligible subgroup adding calcium improved net reclassification while the C-statistic moved only from 0.538 to 0.611 — overall discrimination, in the authors' own words, remained poor. Lp(a) is causal by Mendelian randomisation and still has no completed outcomes trial showing that lowering it prevents events. The correct claim for these tools is that they direct a proven therapy better, not that the scan or the assay saves lives.
The four questions worth asking about any early-detection test
- Is there a randomised trial with death or a hard clinical event as the endpoint? If the only evidence is survival, stage distribution, or number of cancers found, the biases in chapter two can produce all of it.
- Is it FDA-approved, FDA-cleared, or a Laboratory Developed Test — and for which indication and which population? A performance figure measured in one population does not transfer to another.
- What treatment does a positive result unlock, and does that treatment have outcome evidence? If the answer is surveillance, the test has bought you monitoring, not health.
- What happens if it is wrong in each direction? Ask about the false-positive pathway and the cost of false reassurance before the blood is drawn, not after.
2025–2026: what actually changed
- 31 Mar 2025
Court vacates the FDA's LDT rule
The US District Court for the Eastern District of Texas vacated and set aside the FDA's 6 May 2024 final rule (89 FR 37286), which had brought Laboratory Developed Tests into the in-vitro-diagnostic device definition, holding that the agency lacks statutory authority over laboratory-developed testing services.
American Clinical Laboratory Association v. FDA, No. 4:24-CV-479-SDJ (E.D. Tex.)
- Mar 2025 onward
USPSTF suspended
The US Preventive Services Task Force has not met since March 2025 and its chairs were terminated in May 2026. The practical effect is that no new US preventive-services recommendations are being issued while these tests reach the market.
- 16 May 2025
First Alzheimer's blood test cleared
FDA cleared the Lumipulse G pTau 217/β-Amyloid 1-42 Plasma Ratio (K242706) to aid Alzheimer's diagnosis — in symptomatic adults aged 55 and over only.
FDA 510(k) K242706
- Jun 2025
ACMG secondary findings list expands to 84 genes
SF v3.3 published, adding ABCD1, CYP27A1 and PLN. Only pathogenic or likely pathogenic and clinically actionable variants are reported.
Lee et al., Genet Med 2025 (PMID 40568962)
- Jul 2025
Alzheimer's Association guideline excludes the asymptomatic
The association's first clinical practice guideline on blood-based biomarkers states explicitly that it does not extend to cognitively unimpaired individuals.
Palmqvist et al., Alzheimers Dement 2025 (DOI 10.1002/alz.70535)
- 19 Sep 2025
FDA implements the vacatur and declines to appeal
A final rule (Federal Register 2025-18239) removed the added language and reverted 21 CFR 809.3(a), leaving laboratory-developed tests under CLIA alone — outside any FDA premarket review of clinical validity for the foreseeable future.
Federal Register 2025-18239
- ~Nov 2025
NHS-Galleri misses its primary endpoint
The result becomes public: stage III/IV incidence rate ratio 1.03 (0.92–1.14), p=0.6324. GRAIL's share price falls sharply.
NCT05611632
- 29 Jan 2026
GRAIL submits a PMA for Galleri
The application draws on roughly 25,490 consented PATHFINDER 2 participants with one year of follow-up, plus more than 70,000 participants from the NHS-Galleri intervention arm.
- 3 Feb 2026
Medicare MCED coverage act signed
The Nancy Gardner Sewell Medicare Multi-Cancer Early Detection Screening Coverage Act creates a Medicare benefit category for multi-cancer tests, letting CMS begin an evidence-based coverage process once a test is FDA-approved.
- May 2026
Full NHS-Galleri and PATHFINDER 2 results at ASCO
The detailed figures on this page were presented at the 2026 ASCO Annual Meeting. They are conference-presented, not peer-reviewed.
GRAIL / ASCO 2026
- 24 Aug 2026
Roche Elecsys pTau217 cleared
The fourth FDA-cleared blood-based Alzheimer's biomarker, a single-biomarker assay supporting rule-in and rule-out of amyloid pathology in primary and specialty care — again, for patients with symptoms.
- 23 Sep 2026
FDA advisory committee on Galleri
A meeting is scheduled to review the Galleri premarket approval application. It falls after this page's evidence cut-off and its outcome is unknown.
Frequently asked questions
How accurate are multi-cancer early detection blood tests?
Accurate in the narrow sense of rarely calling cancer in someone who does not have it — specificity is around 99.5%, so false-positive rates are under half a percent. Far less accurate at the thing they are sold for. In the pivotal validation, Galleri detected 16.8% of stage I cancers, and in the NHS-Galleri randomised trial its episode sensitivity was 30.7% across all cancers, meaning roughly two in three cancers arising in the screened population were missed. Both numbers are correct; the second one is the one that matters for a healthy person deciding whether to test.
What is the actual performance of the Galleri test?
Overall sensitivity 51.5% across all stages, rising from 16.8% at stage I to 90.1% at stage IV, with 99.5% specificity and 88.7% accuracy at predicting where the cancer is (PMID 34176681). In real screening use the positive predictive value has ranged from 38% in PATHFINDER to 52.0% in NHS-Galleri to 60.3% in PATHFINDER 2. Crucially, in the one randomised trial the test failed its primary endpoint: stage III/IV cancer incidence rate ratio 1.03 (95% CI 0.92–1.14), p=0.6324.
How do these blood tests compare to traditional cancer screening?
Traditional screening is narrower and better evidenced. Low-dose CT in heavy smokers has randomised evidence of a 20% lung-cancer mortality reduction; mammography, faecal occult blood testing, flexible sigmoidoscopy and abdominal aortic aneurysm ultrasound have disease-specific mortality evidence. Multi-cancer blood tests cover far more cancers and have no mortality evidence at all — the one trial that tested them for a hard endpoint missed it. They are additive to standard screening in the sense of finding more cancers; whether that addition helps anyone is unresolved.
How do false positives and false negatives affect the value of these tests?
A false positive starts a diagnostic chain. In PATHFINDER, resolving one took a median 162 days against 57 days for a true positive; 93% of false-positive participants had imaging, 88% had laboratory tests, 30% had procedures and one had surgery. A false negative does something subtler and arguably worse — it produces false reassurance. With 30.7% episode sensitivity across all cancers, a normal multi-cancer blood test result is not a clean bill of health, and it should never be treated as a reason to skip guideline-recommended screening.
How does positive predictive value change how I should read my result?
Positive predictive value depends on how common the disease is in the people being tested, not only on how good the test is. The same multi-cancer test returned a 38% PPV in one study population and 60.3% in another. So when a clinic quotes a trial's PPV, ask which population it was measured in — because if you are healthier, younger, or lower-risk than that trial's participants, your own PPV is lower than the number on the brochure, sometimes substantially.
Which cancers do these tests detect best?
Advanced ones, and the aggressive types with high DNA shedding. Sensitivity for the 12 pre-specified deadliest cancers at stages I–III was 67.6%, against 40.7% for all cancers at those stages. The physical reason matters: early-stage tumours shed very little DNA into the blood, and circulating tumour allele fraction rather than clinical stage is what determines detectability (PMID 36400018). That is a biological ceiling, not a software problem that the next version will fix.
What regulatory approvals do these tests actually have?
Fewer than most people assume. Galleri is a Laboratory Developed Test — not FDA cleared or approved — with a premarket approval application submitted on 29 January 2026 and an advisory committee meeting scheduled for 23 September 2026. Shield holds FDA PMA P230009 for colorectal screening and Cologuard Plus was approved on 4 October 2024. Alzheimer's blood tests are 510(k)-cleared, a lower bar than approval, and only for symptomatic patients. Most polygenic scores and longevity-clinic panels are Laboratory Developed Tests, which are regulated for analytical validity but not for clinical utility.
What does a multi-cancer blood test cost?
Galleri lists at about $949 and is generally not covered by insurance, though some Medicare Advantage plans began offering it with a copay in January 2026. The February 2026 Medicare MCED coverage act created a benefit category that lets CMS begin an evidence-based coverage process, but only once a test is FDA-approved. Be aware that the sticker price is not the full cost: a positive result initiates a diagnostic workup, and in PATHFINDER 62% of positives were false.
What should I know before taking one?
Four things. There is no randomised evidence that it makes you live longer, and the one trial that looked for a hard endpoint missed it. A positive result is more likely than not to be real in the larger studies, but that varies by population and yours may differ. A negative result misses most cancers and must not replace guideline screening. And decide in advance, with your clinician, what you would do with each possible result — if there is no answer, the test is generating information rather than decisions.
So is early detection not worth pursuing at all?
It is, in the places where the evidence is good — and those places are specific. Low-dose CT in people with heavy smoking histories. Colonoscopy or stool testing at the recommended ages. Blood pressure, ApoB, and a one-time Lp(a). A coronary calcium score when a statin decision is genuinely uncertain. What these share is that each connects to a treatment with randomised outcome evidence behind it. The tests that fail this section's grading fail it for one reason: nobody has shown that acting on the result changes anything.
What is a VO2 max test, and is it actually worth doing?
It measures the maximum rate your body can use oxygen during maximal exertion, usually on a treadmill or bike with a mask reading exhaled gases — the gold-standard measure of cardiorespiratory fitness. The evidence behind it is genuinely strong: a cohort of over 122,000 patients found each 1-MET increase in measured fitness was associated with a 13–15% lower all-cause mortality risk, and people in the bottom fitness category had more than five times the mortality risk of the fittest group (Mandsager et al., JAMA Network Open, 2018). That evidence is observational, not a trial of testing itself — fitter people also tend to differ in other health behaviours — but the association is one of the largest and most consistent in preventive medicine. The test itself doesn't treat anything; its value is establishing a baseline and tracking whether training is actually raising it, which a smartwatch estimate cannot do reliably.
What does whole-genome sequencing cost, and has the price actually come down?
Yes, sharply. Consumer direct-to-consumer whole-genome sequencing (30x clinical-grade coverage) runs roughly $170–$600 depending on the provider and current promotions, down from the $2.7 billion the Human Genome Project spent in 2003. That price collapse is real and well documented — it does not change the clinical-utility finding above: in the one randomised trial of giving healthy adults their sequencing results (MedSeq), a new monogenic disease-risk finding showed up in 22% of sequenced patients, but only 4% had any actual evidence of the predicted condition. Cheap and widely available is not the same claim as clinically useful for a healthy person with no relevant family history.
What is a biological age test, and how accurate is it?
Most commercial versions are epigenetic clocks — they measure DNA methylation patterns at specific sites and output an estimated "biological age" distinct from your birth-certificate age. Reproducibility on a single high-quality test can be excellent (99%+ on a repeat sample), but that is a different claim from accuracy: even a well-built clock carries a standard error of roughly 3–5 years around its estimate, and a 2026 wave of papers in Nature-portfolio journals reached genuinely mixed conclusions — some validating specific clocks for narrow uses, one questioning whether "biological age" as a single number is even the right thing to be measuring. No epigenetic-age result has been shown to change a clinical decision or outcome when acted on. See our dedicated breakdown for what each generation of clock was actually trained on.
How do I know if a longevity testing company or lab is legitimate?
Check four things before paying: (1) Is the underlying test run in a CLIA-certified lab (in the US) or equivalent accredited facility — ask directly, a legitimate company states this plainly. (2) Has the specific test been validated in a peer-reviewed, published study, not just cited on the company's own site? (3) Is any clinical claim (not just "research use") backed by an actual regulatory clearance, or is it explicitly sold as wellness/informational only? (4) Does the marketing distinguish reproducibility (does it give the same number twice) from accuracy and clinical utility (does that number mean anything you can act on)? A company that blurs those two, or won't answer where the lab work is actually performed, is the pattern worth being skeptical of — regardless of how polished the site is.
Sources
Every figure and claim on this page traces to one of these. Where a source is a company announcement rather than peer-reviewed research or a regulator, it is labelled as such.
- 01Saquib N, Saquib J, Ioannidis JPA. Does screening for disease save lives in asymptomatic adults? Systematic review of meta-analyses and randomized trials — International Journal of Epidemiology, 2015 · PMID 25596211
- 02Bretthauer M et al. Effect of colonoscopy screening on risks of colorectal cancer and related death (NordICC) — New England Journal of Medicine, 2022 · PMID 36214590 · NCT00883792
- 03Effect of colonoscopy screening on risks of colorectal cancer and related death: instrumental variable estimation of per-protocol effects — European Journal of Epidemiology, 2025 · PMID 40278966
- 04Klein EA et al. Clinical validation of a targeted methylation-based multi-cancer early detection test using an independent validation set (CCGA substudy 3) — Annals of Oncology, 2021 · PMID 34176681 · NCT02889978
- 05Schrag D et al. Blood-based tests for multicancer early detection (PATHFINDER): a prospective cohort study — The Lancet, 2023 · PMID 37805216 · NCT04241796
- 06Jamshidi A et al. Evaluation of cell-free DNA approaches for multi-cancer early detection — Cancer Cell, 2022 · PMID 36400018
- 07Chung DC et al. A cell-free DNA blood-based test for colorectal cancer screening (ECLIPSE) — New England Journal of Medicine, 2024 · PMID 38477985 · NCT04136002
- 08Imperiale TF et al. Next-generation multitarget stool DNA test for colorectal cancer screening (BLUE-C) — New England Journal of Medicine, 2024 · PMID 38477986 · NCT04144738
- 09Brodersen J et al. Overdiagnosis of lung cancer with low-dose computed tomography screening: meta-analysis of the randomised clinical trials — Breathe, 2020 · PMID 32194774
- 10Telesca D, Etzioni R, Gulati R. Estimating lead time and overdiagnosis associated with PSA screening from prostate cancer incidence trends — Biometrics, 2008 · PMID 17501937
- 11Davenport MS. Incidental findings and low-value care — American Journal of Roentgenology, 2023 · PMID 36629303
- 12Røssell EL et al. Investigating bias in the evaluation model used to evaluate the effect of breast cancer screening: a simulation study — Medical Decision Making, 2025 · PMID 40790859
- 13Røssell EL et al. Evaluating mammography screening in observational cohort designs: the importance of avoiding lead time bias — Scandinavian Journal of Public Health, 2024 · PMID 39462832
- 14National Lung Screening Trial Research Team. Reduced lung-cancer mortality with low-dose computed tomographic screening — New England Journal of Medicine, 2011 · PMID 21714641 · NCT00047385
- 15de Koning HJ et al. Reduced lung-cancer mortality with volume CT screening in a randomized trial (NELSON) — New England Journal of Medicine, 2020 · PMID 31995683
- 16Kwee RM, Kwee TC. Whole-body MRI for preventive health screening: a systematic review of the literature — Journal of Magnetic Resonance Imaging, 2019 · PMID 30932247
- 17Martin AR et al. Clinical use of current polygenic risk scores may exacerbate health disparities — Nature Genetics, 2019 · PMID 30926966
- 18Durvasula A, Lohmueller KE. Negative selection on complex traits limits phenotype prediction accuracy between populations — American Journal of Human Genetics, 2021 · PMID 33691092
- 19Vassy JL et al. The impact of whole-genome sequencing on the primary care and outcomes of healthy adult patients: a pilot randomized trial (MedSeq) — Annals of Internal Medicine, 2017 · PMID 28654958 · NCT01736566
- 20Lee K et al. ACMG SF v3.3 list for reporting of secondary findings in clinical exome and genome sequencing: a policy statement of the ACMG — Genetics in Medicine, 2025 · PMID 40568962
- 21Roura-Monllor JA et al. Promises and pitfalls of preimplantation genetic testing for polygenic disorders: a narrative review — F&S Reviews, 2024 · PMID 40213363
- 22Mehta A et al. Predictive value of coronary artery calcium score categories for coronary events versus strokes: MESA and Dallas Heart Study — Circulation: Cardiovascular Imaging, 2020 · PMID 32806939
- 23Hajj Ali A et al. Use of coronary artery calcium quantification and distribution for coronary vascular disease risk reclassification in a primary prevention setting — American Journal of Cardiology, 2023 · PMID 37722228
- 24Garg PK et al. Use of coronary artery calcium testing to improve coronary heart disease risk assessment in a lung cancer screening population: MESA — Journal of Cardiovascular Computed Tomography, 2018 · PMID 30297128
- 25Integrative assessment of high-sensitivity C-reactive protein and lipid levels in predicting 20-year atherosclerotic cardiovascular disease risk (ATTICA) — American Heart Journal, 2026 · PMID 42435999
- 26Palmqvist S et al. Alzheimer's Association clinical practice guideline on the use of blood-based biomarkers in the diagnostic workup of suspected Alzheimer's disease — Alzheimer's & Dementia, 2025 · DOI 10.1002/alz.70535
- 27NHS-Galleri trial — annual multi-cancer blood testing versus standard NHS care, 142,318 participants — ClinicalTrials.gov, 2026 · NCT05611632
- 28PATHFINDER 2 — registrational single-arm multi-cancer early detection study, 35,878 enrolled — ClinicalTrials.gov, 2026 · NCT05155605
- 29SUMMIT — multi-cancer early detection validation in a high-risk population, 13,035 participants — ClinicalTrials.gov, 2026 · NCT03934866
- 30Lp(a)HORIZON — pelacarsen cardiovascular outcomes trial, 8,323 participants — ClinicalTrials.gov, 2026 · NCT04023552
- 31OCEAN(a)-Outcomes — olpasiran cardiovascular outcomes trial, 7,297 participants — ClinicalTrials.gov, 2026 · NCT05581303
- 32Olpasiran primary prevention outcomes trial, 11,000 participants — ClinicalTrials.gov, 2026 · NCT07136012
- 33Shield (Guardant Health) premarket approval — first blood test approved for primary colorectal cancer screening — US Food and Drug Administration, 2024 · FDA PMA P230009
- 34Lumipulse G pTau 217/β-Amyloid 1-42 Plasma Ratio (Fujirebio) — 510(k) clearance, symptomatic adults 55+ — US Food and Drug Administration, 2025 · FDA 510(k) K242706
- 35FDA clearance of the Roche Elecsys pTau217 plasma test, 24 August 2026 — symptomatic patients only — US Food and Drug Administration, 2026
- 36Medical devices; laboratory developed tests; implementation of court order — final rule reverting 21 CFR 809.3(a) after the vacatur of the 6 May 2024 LDT rule (89 FR 37286) — Federal Register / US Food and Drug Administration, 2025 · Federal Register 2025-18239
- 37American Clinical Laboratory Association v. FDA — LDT final rule vacated and set aside, 31 March 2025 — US District Court, Eastern District of Texas, 2025 · No. 4:24-CV-479-SDJ
- 38Krogsbøll LT et al. General health checks in adults for reducing morbidity and mortality from disease — 17 trials, 251,891 participants — Cochrane Database of Systematic Reviews, 2019 · CD009009.pub3
- 39ACR statement on screening total body MRI — American College of Radiology, 2023
- 40Policy statement: whole-body MRI screening in asymptomatic individuals — Canadian Association of Radiologists, 2025
- 41UK National Screening Committee statement on commercially provided screening tests, 21 November 2023 — UK National Screening Committee, 2023
- 42US Federal Trade Commission enforcement actions — searched 2023–2026; no action identified against biological-age, longevity-panel or early-detection marketers — US Federal Trade Commission, 2026
- 43Nancy Gardner Sewell Medicare Multi-Cancer Early Detection Screening Coverage Act, signed 3 February 2026 — US Congress, 2026
- 44GRAIL press releases and 2026 ASCO Annual Meeting presentations of NHS-Galleri and PATHFINDER 2 — conference-presented, not peer-reviewed — GRAIL / American Society of Clinical Oncology, 2026
- 45Prenuvo published pricing and company-reported screening findings — not peer-reviewed — Prenuvo, 2026
Articles on this topic
- What blood tests detect serious diseases at early stages?
A pharmacist's ranking of blood tests that detect serious disease early: ApoB and Lp(a), HbA1c and fasting insulin, kidney and liver function, full blood count and ferritin, TSH, PSA with caveats, hepatitis and HIV screens, p-tau217 — and the multi-cancer blood tests I would not order yet.
- How to get comprehensive early disease detection at once?
A pharmacist's plan for comprehensive early disease detection in one visit: the blood panel, the measurements, the guideline cancer screens and the imaging that have evidence, arranged in a morning — ranked by what each covers, and the 'comprehensive' packages to avoid.
- Best early disease detection package for proactive health monitoring.
Early disease detection packages ranked by a pharmacist: the evidence-based package you assemble yourself, guideline screening programmes, blood-panel subscriptions, concierge diagnostic memberships, MRI-led memberships and multi-cancer blood-test subscriptions — with what each contains and what it misses.
- Comprehensive early disease detection tests for full body screening.
Full-body screening ranked organ system by organ system: the test with the best evidence for heart, metabolic, kidney, liver, blood, thyroid, colon, breast, cervix, lung, skin, prostate and brain — and why one whole-body scan covers none of them as well.
- Advanced early disease detection technology for high risk patients.
Advanced early-detection technologies ranked for genuinely high-risk patients: low-dose CT for heavy smokers, breast MRI for BRCA carriers, colonoscopy for Lynch syndrome, CT coronary angiography and calcium scoring, ctDNA residual-disease monitoring after cancer, Lp(a) cascade testing — and the technologies that stay unproven even at high risk.
- Premium early disease detection program for preventive healthcare.
Premium early-detection programmes ranked on what the premium buys: physician time, structured follow-through, VO₂max and DEXA, and coordinated guideline screening — versus programmes whose premium buys whole-body MRI, multi-cancer blood tests and novelty panels. With a pharmacist's specification for a premium programme worth paying for.
- Best early disease detection services for long term wellness.
Early-detection services ranked for long-term wellness — continuity, follow-through, evidence and cost over years: a primary-care physician with a screening schedule, national screening programmes, physician-led prevention programmes, blood-panel subscriptions, concierge memberships, and single-test services — with a pharmacist's advice on which to use for decades.
- What is the most accurate early disease detection method?
Early disease detection methods ranked on accuracy and on whether acting on the result helps: colonoscopy, low-dose CT for smokers, coronary calcium and ApoB, mammography, blood pressure, p-tau217 for Alzheimer's — against multi-cancer blood tests, whole-body MRI and polygenic scores.
- How to choose the best early disease screening?
A ranked five-question method for choosing early disease screening: what is my actual risk, does the test have outcome evidence, what happens after a positive, what are the harms of a false positive and overdiagnosis, and what would I do differently — with which tests survive for whom.
- Which early disease detection tests are worth paying for?
Early detection tests ranked on value — proven benefit against total cost including follow-up: ApoB and Lp(a), coronary calcium scoring, low-dose CT for smokers, colonoscopy and its alternatives, mammography, targeted genetic tests — and the expensive tests (Galleri, whole-body MRI, genome sequencing) that cost most and prove least.
Explore this section
- What is the most accurate early disease detection method?
Accuracy, disease by disease, against the outcome evidence.
- Which early disease detection tests are worth paying for?
Value, including the cascade the invoice leaves out.
- How to get comprehensive early disease detection at once?
The evidence-based screen, arranged in one morning.
- Biological age
The other number the longevity industry sells, graded the same way.
- Longevity clinics, verified
Which clinics order these tests, and which will tell you what a result would change.
- How we grade evidence
Why a stage shift, a survival curve, or a finding rate never reaches our top grade.
- Biological age tests: what they measure and what they miss
Epigenetic clocks in detail — real science, real limits, and when a result changes a decision.
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