The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index; 1 of the 11 sources its claims cite were checked for support.
Endpoints for geroscience clinical trials: health outcomes, biomarkers, and biologic age
Open accessAbstract
Treatments that target fundamental processes of aging are expected to delay several aging-related conditions simultaneously. Testing the efficacy of these treatments for potential anti-aging benefits will require clinical trials with endpoints that reflect the potential benefits of slowing processes of aging. There are several potential types of endpoints to capture the benefits of slowing a process of aging, and a consensus is needed to standardize and compare the results of these trials and to guide the analysis of observational data to support trial planning. Using biomarkers instead of clinical outcomes would substantially reduce the size and the duration of clinical trials. This requires validation of surrogate markers showing that treatment induced change in the marker reliably predicts the magnitude of change in the clinical outcome. The surrogate marker must also reflect the biological mechanism for the effect of treatment on the clinical outcome. “Biological age” is a superficially attractive marker for such trials. However, it is essential to establish that treatment induced change in biological age reliably predict the magnitude of benefits in the clinical outcome. Reaching consensus on clinical outcomes for geroscience trials and then validating potential surrogate biomarkers requires time, effort, and coordination that will be worthwhile to develop surrogate outcomes that can be trusted to efficiently test the value of many anti-aging treatments under development.
Overview
AI snapshot
Written from the paper’s full text.
TL;DR
Geroscience trials need agreed clinical endpoints and validated surrogate markers to test treatments that may delay multiple age-related conditions. Biomarkers and “biological age” could greatly reduce trial size and duration, but they are not valid surrogates unless treatment-induced changes reliably predict health-outcome changes through the same causal pathway.
Key findings
- A valid surrogate requires that treatment, marker change, and health outcome lie on the same causal pathway; predictive or prognostic biomarkers are not automatically surrogates.
- Hip bone mineral density (BMD) is cited as a validated surrogate: a meta-analysis found R² = 0.73 between change in hip BMD and reduction in hip fracture risk, enabling future osteoporosis trials of a few hundred participants over 2 years instead of trials typically involving 5,000–10,000 women with 3–5 years of follow-up.
- Failed surrogate examples include intensive glucose lowering in ACCORD, which reduced HbA1c but increased cardiovascular disease events; MK-0773, which increased lean/appendicular mass but did not improve leg press strength or gait speed; and amyloid-reducing dementia trials that failed to improve cognition or dementia risk.
- “Biological age,” especially epigenetic age, is attractive but not yet established as a surrogate; without understanding its mechanisms, it may be insensitive to interventions targeting one aging process and could produce misleading trial results.
Methods
- Narrative review/perspective, not an empirical study; it discusses endpoint selection for geroscience clinical trials and the pathway from response biomarkers to predictive/prognostic biomarkers to surrogate markers.
- It considers potential clinical endpoints including total mortality, disability-free survival, specific diseases, advancing multimorbidity, frailty/deficit indices, and frailty phenotype, summarized in Table 1.
- It uses prior trial and meta-analysis examples, plus conceptual figures, to illustrate valid and failed surrogate markers and to argue for consensus, standardization, and centralized data sharing.
Limitations
- The paper states there is neither consensus nor a process to generate consensus on acceptable geroscience trial endpoints, and that what morbidities should be included is unclear.
- It states that biological mechanisms linking epigenetic clocks or other biological-age measures to health outcomes are uncertain, and that biological age is unlikely to be a valid surrogate without such mechanistic understanding.
- Evident from the text: this is a conceptual review without primary data, systematic search, or formal analysis; its recommendations depend on future coordination, standardized measurements, and trial data sharing that are not yet established.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
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Cites
Statistics
Verification
Claims the paper makes
1 of 11 cited sources checked · 0 supported · 0 flagged · accuracy not yet measured
- Interpretationreasoning
Current work to identify biomarkers is not aligned with the goal of accelerating the evaluation of promising interventions.
“Thus, current work to identify biomarkers is not aligned with the goal of accelerating the evaluation of promising interventions.”
Quote in the paperSubstantial claim- Rests on an assumption: There is neither consensus nor a process to generate consensus on what constitutes an acceptable endpoint for a geroscience-based prevention trial.
- Premisecitation
Hip bone mineral density (BMD) is an example of a valid surrogate marker.
“Bone density (BMD) of the hip is an example of a valid surrogate marker.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Black DM, et al. Diabetes Endocrinol. 2020;8(8):672–82. https://doi.org/10.1016/S2213-8587(20)30159-5. source
- Interpretationreasoning
Using validated surrogate biomarkers instead of clinical outcomes would substantially reduce the size, duration, and cost of clinical trials.
“Using biomarkers instead of clinical outcomes would substantially reduce the size and the duration of clinical trials.”
- Also stated in: § Introduction · hedged
“The availability of validated surrogate biomarkers would obviate the need conduct large, lengthy, and costly trials to establish treatment efficacy.”
Quote in the paperNot a substantial claim - Also stated in: § Introduction · hedged
- Premisenone given
Meaningful health endpoints for geroscience trials would be ascertainable by interview and simple tests.
“In general, meaningful health endpoints for geroscience trials would be ascertainable by interview, for example, about activities of daily living for disability, and by questions combined with simple tests, such as gait speed and change in body weight, for frailty.”
Quote in the paperSubstantial claim - Premisereasoning
To be a valid surrogate, the biological effect of the treatment, the change in the marker, and change in the health outcome must all line up in the same causal pathway.
“Thus, the biological effect of the treatment, the change in the marker, and change in the health outcome must all line up in the same causal pathway (Fig. 1).”
Quote in the paperSubstantial claim
- Premisecitation
A large meta-analysis combining all clinical trials demonstrated a strong correlation (R2 = 0.73) between change in hip BMD and reduction in risk of hip fracture.
“The large meta-analysis combining all clinical trials demonstrated a strong (R2 = 0.73) correlation between change in hip BMD and reduction in risk of hip fracture (Fig. 2a) connecting the parts of the causal pathway (Fig. 2b) and validating hip BMD as a surrogate marker.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [13] Black DM, et al. Diabetes Endocrinol. 2020;8(8):672–82. https://doi.org/10.1016/S2213-8587(20)30159-5. source
- Premisereasoning
Trials with incident clinical outcomes are conducted in participants who are older and at high risk of the outcome to increase the number of aging-related events.
“To increase the number of aging-related events, trials with incident clinical outcomes are conducted in participants who are older and have high risk of the outcome.”
Quote in the paperSubstantial claim - Premisereasoning
A predictive marker is not necessarily a surrogate marker.
“However, a predictive marker is not necessarily a surrogate marker.”
Quote in the paperSubstantial claim - Interpretationreasoning
If all or the vast majority of items in a composite endpoint reflect the effect of the treatment, inclusion of all such endpoints can increase the frequency of the endpoint and reduce the sample size required to detect change in that index.
“If all, or the vast majority of, items reflect the effect of the treatment, then inclusion of all such endpoints can increase the frequency of the endpoint thereby reducing the sample size required to detect change in that index.”
Quote in the paperSubstantial claim - Interpretationreasoning
The results of trials with incident clinical outcomes conducted in older high-risk participants would generalize to a small fraction of the people who could benefit from such interventions earlier in life.
“The results, however, would generalize to a small fraction of the people who could benefit from such interventions changes earlier in life.”
Quote in the paperSubstantial claim - Interpretationreasoning
Showing that change in a predictive marker is associated with change in the health endpoint strengthens the possibility but does not reliably show that the predictive marker is a true surrogate marker.
“Showing that change in the predictive marker is associated with change in the health endpoint strengthens the possibility but does not reliably show that the predictive marker is a true surrogate marker.”
Quote in the paperSubstantial claim - Interpretationreasoning
Trials with biomarker endpoints could afford to enroll a broader population at lower risk of a clinical outcome, thereby extending the generalizability of the results of a treatment trial to more people.
“Besides relatively low cost, such trials could afford to enroll a broader population at lower risk of a clinical outcome, thereby extending the generalizability of the results of a treatment trial to more people.”
Quote in the paperSubstantial claim - Interpretationnone given
Demonstrating that a predictive biomarker predicts a health outcome provides support that the property measured by the marker may be a cause of the outcome.
“Demonstrating that predictive biomarkers, such as quantity of Tau on brain scans, predicts the health outcome, such as incidence of the diagnosis of Alzheimer’s disease (AD), and provides support that the property measured by the marker may be a cause of the outcome.”
Quote in the paperSubstantial claim - Premisecitation
Response biomarkers provide proof of concept that a treatment has a desired biological effect on target mechanisms of aging or their manifestations.
“Especially in the development of treatments, response biomarkers, such as senescence associate secretory phenotype (SASP) biomarkers, provide proof of concept that the treatment has a desired biological effect on target mechanisms of aging (killing senescent cells) or on their manifestations (e.g., 19).”
Quote in the paperSubstantial claim - Interpretationreasoning
A new treatment that slows a measurement of "biological age" that is not a true surrogate is likely to be widely used but ineffective or even harmful.
“A new treatment that slows a measurement of “biological age” that is not a true surrogate is likely to be widely used but ineffective or even harmful.”
Quote in the paperNot a substantial claim- Rests on an assumption: There is an intense thirst for treatments to slow aging.
- Interpretationreasoning
The ACCORD result taught that intensive treatment must have other effects, besides change in HbA1c, that are not on the causal pathway, resulting in increased risk of CVD.
“This result taught that intensive treatment must have other effects, besides change in HbA1c, that are not on the causal pathway, that resulted in the increased risk of CVD.”
Quote in the paperSubstantial claim - Interpretationreasoning
The assumption that a biomarker that predicts the health endpoint is a surrogate is sometimes wrong and misleading.
“The assumption is sometimes wrong and misleading.”
Quote in the paperSubstantial claim - Premisecitation
Trials that have found reduction in brain amyloid have consistently failed to have beneficial effects on cognitive function or risk of dementia.
“Consistently, trials that have found that reduction in brain amyloid have failed to have beneficial effects on cognitive function or risk of dementia [16].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Panza F, Lozupone M, Logroscino G, Imbimbo BP. A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease. Nat Rev Neurol. 2019;15(2):73–88. https://doi.org/10.1038/s41582-018-0116-6. source
- Interpretationreasoning
Using biological age as the endpoint of a trial is likely to produce misleading results about its effects on health outcomes if the treatment, biological age, and health outcome are not part of the same causal pathway.
“In this case, using biological age as the endpoint of a trial is likely to produce misleading results about its effects on health outcomes.”
Quote in the paperSubstantial claim - Interpretationreasoning
If the treatment, epigenetic age, and health outcome are not part of the same causal biological pathway, a treatment may alter "biological age" without affecting the causal mechanism that changes the endpoint.
“If not, a treatment may alter “biological age” without affecting the causal mechanism that changes the endpoint (Fig. 1).”
Quote in the paperSubstantial claim - Premisecitation
Fasting glucose and HbA1c levels predict the risk of cardiovascular disease.
“Those levels predict the risk of cardiovascular disease.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] ACCORD Study Group. Long-term effects of intensive glucose lowering on cardiovascular outcomes. N Engl J Med. 2011;364(9):818–28. https://doi.org/10.1056/NEJMoa1006524. source
- Interpretationreasoning
If an epigenetic clock reflects multiple biological mechanisms, the overall clock is likely to be less sensitive to interventions that influence only one.
“If an epigenetic clock reflects multiple biological mechanisms, the overall clock is likely to be less sensitive to interventions that influence only one.”
Quote in the paperNot a substantial claim - Premisecitation
Commonly used epigenetic clocks are highly correlated with calendar age.
“Epigenetic age has become the most popular approach; derived from patterns of DNA methylation, commonly used epigenetic clocks are highly correlated with calendar age.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [17] Brinkley TE, Justice JN, Basu S, et al. Research priorities for measuring biologic age: summary and future directions from the Research Centers Collaborative Network Workshop. GeroScience. 2022. https://doi.org/10.1007/s11357-022-00661-w. source
- Interpretationreasoning
Without an understanding of the biological mechanisms, it is uncertain and unlikely that biological age will be a valid surrogate marker for treatments that target a specific process of aging.
“Without an understanding of the biological mechanisms, it is uncertain and unlikely that biological age will be a valid surrogate marker for treatments that target a specific process of aging.”
Quote in the paperSubstantial claim - Premisenone given
Intensive hypoglycemic treatments such as oral hypoglycemics and insulin substantially reduce fasting glucose and HbA1c levels.
“For example, intensive hypoglycemic treatments, such as oral hypoglycemics and insulin, substantially reduce fasting glucose and HbA1c levels.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] ACCORD Study Group. Long-term effects of intensive glucose lowering on cardiovascular outcomes. N Engl J Med. 2011;364(9):818–28. https://doi.org/10.1056/NEJMoa1006524. source
- Premisereasoning
For biological age, or specifically epigenetic age, to be a valid surrogate, the treatment, epigenetic age, and the health outcome must be part of the same causal biological pathway.
“For biological age, or specifically, epigenetic age to be a valid surrogate, the treatment, epigenetic age, and the health outcome must be part of the same causal biological pathway (Fig. 1).”
Quote in the paperSubstantial claim - Premisecitation
Different epigenetic clocks may have different mechanisms.
“Different epigenetic clocks may have different mechanisms [18].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18] Raj K, Horvath S. Current perspectives on the cellular and molecular features of epigenetic ageing. Exp Biol Med (Maywood). 2020;245(17):1532–42. https://doi.org/10.1177/1535370220918329. source
- Premisecitation
The concentration of amyloid in the brain is associated with the risk and progression of dementia.
“The concentration of amyloid in the brain is associated with the risk and progression of dementia.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [16] Panza F, Lozupone M, Logroscino G, Imbimbo BP. A critical appraisal of amyloid-β-targeting therapies for Alzheimer disease. Nat Rev Neurol. 2019;15(2):73–88. https://doi.org/10.1038/s41582-018-0116-6. source
- Premisecitation
In the ACCORD trial, diabetics randomly assigned to intensive treatment that reduced HbA1c levels in fact increased the risk of CVD events.
“However, the belief that HbA1c was a surrogate marker was contradicted by findings from the ACCORD trial that diabetics randomly assigned to intensive treatment that reduced HbA1c levels in fact increased the risk of CVD events [14].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [14] ACCORD Study Group. Long-term effects of intensive glucose lowering on cardiovascular outcomes. N Engl J Med. 2011;364(9):818–28. https://doi.org/10.1056/NEJMoa1006524. source
- Interpretationreasoning
It is a very long jump from findings that an epigenetic clock predicts health outcomes to validation that biological age is a surrogate marker.
“However, it is a very long jump from these findings to validation that biological age is a surrogate marker.”
Quote in the paperNot a substantial claim
- It may state two separate claims as one. 8
- Probably not a substantial claim. 17
It may state two separate claims as one.
PremisecitationIn a randomized clinical trial, MK-0773 substantially increased lean body and appendicular mass but had no effect on leg press strength, gait speed, or other health endpoints.
“Similarly, a promising treatment for sarcopenia, MK-0773, substantially increased lean body and appendicular mass, but in a randomized clinical trial, the treatment had no effect on leg press strength, gait speed, or other health endpoints [15].”
Quote in the paperSubstantial claim1 of 1 sources checked- cites [15] Papanicolaou DA, Ather SN, Zhu H, Zhou Y, Lutkiewicz J, Scott BB, Chandler J. A phase IIA randomized, placebo-controlled clinical trial to study the efficacy and safety of the selective androgen receptor modulator (SARM), MK-0773 in female participants with sarcopenia. J Nutr Health Aging. 2013;17(6):533–43. https://doi.org/10.1007/s12603-013-0335-x. source
The Results (Efficacy) report significant increases in total and appendicular lean body mass, but no statistically significant advantage over placebo for leg-press strength, gait speed, or several physical-function measures at six months. The broader statement that MK-0773 had no effect on other health endpoints overstates the paper: the Discussion reports increases in serum transaminases, hemoglobin, hematocrit, and systolic blood pressure. (LLM, conf=0.86)
Experimental — accuracy not yet measured
It may state two separate claims as one.
PremisereasoningComposite endpoints that include multiple effects such as multimorbidity or deficit accumulation have higher event rates and require proportionately smaller sample sizes.
“Endpoints that include a composite of multiple effects, such as multi-morbidity or accumulation of physical and cognitive deficits (deficit accumulation indices), have the advantages of higher rates requiring proportionately smaller sample sizes.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationreasoningSample sizes for incident health events such as Alzheimer's disease are generally very large and require long follow-up.
“Sample sizes for incident health events, such as a diagnosis of Alzheimer’s disease, are generally very large and require long follow-up because these age-related diseases are uncommon.”
Quote in the paperSubstantial claim- Rests on an assumption: Age-related diseases are uncommon.
Probably not a substantial claim. The paper’s conclusions may not depend on it.
Premisenone givenPrognostic biomarkers pertain to individuals who already have the health condition; the marker or change in that marker predicts change in the severity or level of the condition.
“This type of marker pertains to individuals who already have the health condition; the marker or change in that marker predicts change in the severity or level of the condition.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenA valid surrogate marker must reflect the biological mechanism for the effect of treatment on the clinical outcome.
“The surrogate marker must also reflect the biological mechanism for the effect of treatment on the clinical outcome.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenStronger associations with age indicate that an endpoint is more likely to be responsive to interventions that slow aging.
“Each is age-related, and it is reasonable to posit that stronger associations with age indicate that the endpoint is more likely to be responsive to interventions that slow aging.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. The paper may give no reason why it holds.
InterpretationreasoningPredictive markers may have clinical benefits by estimating a patient's risk of the condition and, therefore, the magnitude of benefit from the treatment.
“Predictive markers may have clinical benefits by estimating a patient’s risk of the condition and, therefore, the magnitude of benefit from the treatment.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenInformation linking outcomes to fundamental biological processes of human aging will typically come from model systems where the impact of perturbing aging biology can be rigorously evaluated.
“This information will typically come from model systems where the impact of perturbing aging biology can be rigorously evaluated.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
PremisereasoningTo establish that a biomarker is a surrogate, treatment-induced change in the biomarker must predict change in the health outcome.
“What matters to establish that a biomarker is a surrogate is that treatment induced change in the biomarker predicts change in the health outcome.”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationreasoningA treatment may have opposing effects on components of a composite index, which may reduce the sensitivity of the index and the size of the treatment effect.
“Sometimes, a treatment may have opposing effects on components of an index. In this case, a composite endpoint may reduce the sensitivity of the index and the size of the treatment effect.”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenPredictive markers are an essential link in the pathway from treatment to change in a health condition.
“Predictive markers are an essential link in the pathway from treatment to change in a health condition (Fig. 1).”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
Premisenone givenOutcomes for geroscience trials must be linked, in part, to fundamental biological processes of human aging.
“Outcomes must be linked, in part, to fundamental biological processes of human aging.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
Premisenone givenEstablishing that a biomarker is a response biomarker establishes the first part of the pathway for a biomarker to be a potential surrogate.
“Establishing that a biomarker is a response biomarker establishes the first part of the pathway for a biomarker to be a potential surrogate (Fig. 1).”
Quote in the paperSubstantial claimProbably not a substantial claim. The paper’s conclusions may not depend on it. It may state two separate claims as one.
Premisenone givenIncident diseases such as cardiovascular disease are feasible to collect but may require validation in medical records.
“Incident diseases, such as cardiovascular disease are feasible to collect but may require validation in medical records.”
Quote in the paperNot a substantial claimProbably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
Premisenone givenIdeally, a marker used to include participants is in the biological pathway from treatment effect to health outcome.
“Ideally, a marker used to include participants is in the biological pathway from treatment effect to health outcome.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Premisenone givenPredictive and prognostic biomarkers are useful in trial design by estimating a potential participant's risk, allowing inclusion of participants at high risk of the outcome.
“Predictive and prognostic biomarkers are useful in the design of trials by estimating a potential participant’s risk. This allows the inclusion of participants at high risk of the outcome.”
Quote in the paperNot a substantial claimProbably not a substantial claim. The paper may give no reason why it holds.
Premisenone givenHuman observational research can link putative aging biomarkers to patterns of human disease.
“Human observational research can link putative aging biomarkers to patterns of human disease.”
Quote in the paperNot a substantial claimProbably not a substantial claim.
Premisenone givenIt is often assumed that showing that a biomarker, or change in that marker, predicts the health endpoint establishes that biomarker as a "surrogate."
“It is often assumed that showing that a biomarker, or change in that marker, predicts the health endpoint establishes that biomarker as a “surrogate.””
Quote in the paperSubstantial claimProbably not a substantial claim.
PremisereasoningValidating a surrogate marker requires showing that treatment-induced change in the marker reliably predicts the magnitude of change in the clinical outcome.
“This requires validation of surrogate markers showing that treatment induced change in the marker reliably predicts the magnitude of change in the clinical outcome.”
- Also stated in: § Predictive and prognostic biomarkers · plain
“To be a valid surrogate, treatment-induced change in the marker must reliably predict a change health endpoint (Fig. 1).”
Quote in the paperSubstantial claim- Also stated in: § Predictive and prognostic biomarkers · plain
Probably not a substantial claim. It may be too vague to check against evidence. The paper may give no reason why it holds.
Premisenone givenRandomized clinical trials will be required to establish with rigor whether targeting aging biology is effective and safe.
“Ultimately, randomized clinical trials will be required to establish with rigor whether the targeting aging biology is effective and safe.”
Quote in the paperNot a substantial claimIt may state two separate claims as one.
Interpretationnone givenTrials with biomarker endpoints generally may require a much smaller number of participants, shorter follow-up times, and lower cost than trials with clinical or health outcomes.
“Surrogate markers are very attractive because trials with biomarker endpoints generally may require a much small number of participants, shorter follow-up times, and, therefore, much lower cost than trials with clinical or health outcomes (Table 1).”
Quote in the paperSubstantial claimIt may state two separate claims as one.
InterpretationreasoningChange in lean mass does not increase muscle strength and function, perhaps because "lean mass" is a poor measure of skeletal muscle mass.
“This suggests that change in lean mass does not increase muscle strength and function perhaps because “lean mass” is a poor measure of skeletal muscle mass.”
Quote in the paperSubstantial claimProbably not a substantial claim.
PremisecitationThe difference between biological and calendar age, called "age acceleration," predicted a variety of health outcomes.
“Ideally, the difference between biological and calendar age, called “age acceleration,” predicted a variety of health outcomes. [e.g., 7]”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [7] Lu AT, et al. DNA methylation GrimAge strongly predicts lifespan and healthspan. Aging (Albany NY). 2019;11(2):303–27. https://doi.org/10.18632/aging.101684. source
Probably not a substantial claim.
InterpretationreasoningA key issue for the use of epigenetic age or other measures of biological age is understanding the mechanism for its association with calendar age and with health outcomes.
“Therefore, a key issue for the use of epigenetic age—or other measures of biological age—is understanding the mechanism for its association with calendar age and with health outcomes.”
Quote in the paperSubstantial claim
The paper relies on this without support.
There is neither consensus nor a process to generate consensus on what constitutes an acceptable endpoint for a geroscience-based prevention trial.
“However, there is neither a consensus nor a process to generate consensus on what would constitute an acceptable endpoint for a geroscience-based prevention trial.”
The paper relies on this without support.
Animals are poor models of many human diseases, and genetically manipulated models for one disease may not be relevant for other diseases.
“However, animals are poor models of many human diseases, and genetically manipulated models for one disease may not be relevant for other diseases.”
The paper relies on this without support.
The US Food and Drug Administration requires that drugs being evaluated for potential approval must affect how a patient feels, functions, or survives.
“From a regulatory perspective, the US Food and Drug Administration requires that drugs being evaluated for potential approval must affect how a patient feels, functions, or survives.”
The paper relies on this without support.
The sample size and duration of trials is generally the most critical determinant of feasibility.
“The sample size and duration of trials is generally the most critical determinant of feasibility.”
The paper relies on this without support.
Age-related diseases are uncommon.
“Sample sizes for incident health events, such as a diagnosis of Alzheimer’s disease, are generally very large and require long follow-up because these age-related diseases are uncommon.”
The paper relies on this without support.
Some diseases have a long prodromal period and the benefits of even a successful treatment might not be evident for a number of years.
“Some diseases have a long prodromal period and the benefits of even a successful treatment might not be evident for a number of years.”
The paper relies on this without support.
There is an intense thirst for treatments to slow aging.
“There is an intense thirst for treatments to slow aging.”
Citations
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Metadata
- Authors
- Cummings, S. R., & Kritchevsky, S. B.
- Affiliations
- University of California, San Francisco (US)
- Wake Forest University Health Sciences (US)
- Corresponding author
- Cummings, Steven R.
- Venue
- GeroScience
- Published
- 2022-10-19
- Volume
- 44
- Issue
- 6
- Pages
- 2925-2931
- ISSN
- 2152-4041 (ISSN-L)
- 2509-2715
- 2509-2723
- PMC
- PMC9768060
- OpenAlex
- W4306772674
- Cited by
- 54
- References
- 23
- Citations by year
- 2026: 25 · 2025: 12 · 2024: 9 · 2023: 7 · 2022: 1
- FWCI
- 2.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- GeroScience (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institute on Aging (AG059416, AG061456, AG021332, AG058556)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Aging › Genetics, Aging, and Longevity in Model Organisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cell Biology › Telomeres, Telomerase, and Senescence
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- clinical trial endpoints, surrogate markers, biological age, health outcomes, anti-aging therapy, aging, biomarker validation
- MeSH terms
- Geroscience, Biological Products, Biomarkers, Outcome Assessment, Health Care
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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