Evidence mapPaperPMID 36260264Full record

ArticleGeroScience2022

Endpoints for geroscience clinical trials: health outcomes, biomarkers, and biologic age.

Steven R Cummings, Stephen B Kritchevsky

Open access · hybridAbstract read
In one paragraph

Article in GeroScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
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  5. Article
  6. Article
  7. Observational
  8. Review
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  16. NIA Research Centers Collaborative Network.Journal of the American Geriatrics Society · 2024
    Article
  17. Article
  18. Validation of biomarkers of aging.Nature medicine · 2024
    Review
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Steven R CummingsSan Francisco Coordinating Center, California Pacific Medical Center Research Institute, San Francisco, CA, USA. steven.cummings@ucsf.edu.ORCID http://orcid.org/0000-0001-8808-260X
Stephen B KritchevskyWake Forest University School of Medicine, Sticht Center for Health Aging and Alzheimer's Prevention, Wake Forest, NC, USA.
University of California, San Francisco · USWake Forest University · US

Funding

Study of Muscle, Mobility and Aging: SOMMA2R01AG059416 · CALIFORNIA PACIFIC MED CTR RES INSTITUTE · 2025 to 2025
$15.0M
Wake Forest Claude D. Pepper OAIC - RenewalP30AG021332 · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2002 to 2025
$7.7M
Translational Geroscience NetworkR33AG061456 · NIA · MAYO CLINIC ROCHESTER · 2022 to 2025
$2.4M
Research Centers Collaborative Network RenewalU24AG058556 · WAKE FOREST UNIVERSITY HEALTH SCIENCES · 2025 to 2025
$997k
NIA NIH HHS P30 AG021332NIA NIH HHS R01 AG059416NIA NIH HHS R33 AG061456NIA NIH HHS R56 AG059416NIA NIH HHS U24 AG058556
6 · The paper itself

Abstract

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.

Indexed as

Biological ProductsGeroscienceBiomarkersOutcome Assessment, Health CareBiological ProductsBiomarkersBiological ageClinical trialsEpigenetic ageGeroscienceSurrogate marker

Identifiers

PMID36260264
PMCPMC9768060
OpenAlexW4306772674

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.