Cited by 33

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Testing the Geroscience Hypothesis: Early Days

Kritchevsky, Stephen B, Justice, Jamie N·2020·The Journals of Gerontology: Series A

Abstract

In this issue, Espinoza and colleagues present the design of a 2-year randomized, double-blind, controlled, clinical trial testing whether 2,000 mg/day of metformin retards the advancement of frailty in prediabetic older adults. Demonstrating that any drug can deflect the progression of frailty would be a major milestone in geriatrics, but this study is also important within the larger frame of geroscience which hypothesizes that human health can be improved by directly targeting the biology of aging (1). Support for this hypothesis is found in studies of model organisms, which show that targeting these pathways in a variety of ways—including the administration of metformin—can increase health span and lifespan (2). The study by Espinoza is one of the few rigorously designed trials to test a drug in a context that has direct implications for evaluating the geroscience hypothesis. The geroscience hypothesis is relatively new, and there is uncertainty regarding how to optimally design studies to test it. A key uncertainty is end-point selection. Espinoza and colleagues selected the Fried Cardiovascular Health Study (CHS) frailty phenotype as the primary end-point (3). This measure has good face validity with geriatricians and its use is supported by a great deal of observational data underscoring its robust prediction of health outcomes in older adults. However, the frailty phenotype domains were originally operationalized using data from the CHS study, an on-going observationa…

Overview

Integrity signals

Registry

Crossref · 10.1093/gerona/glz267

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The DNAm measures analyzed represent the current state-of-the-art in DNAm quantification of biological aging.

    “We analyzed several measures which represent the current state-of-the-art in DNAm quantification of biological aging38.”
  • New measurements that summarize biological changes occurring with aging have potential to overcome the challenge that human aging takes decades to cause disease; measurements that both predict future disease, disability and mortality and can detect changes in aging processes over short timescales have potential to function as surrogate endpoints for intervention effects on healthy lifespan.

    “New measurements that summarize biological changes occurring with aging have potential to overcome this challenge; measurements to quantify biological aging that both predict future disease, disability and mortality and can detect changes in aging processes over short timescales have potential to function as surrogate endpoints for intervention effects on healthy lifespan38,49.”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 12

  1. Fried, 2001, Frailty in older adults: evidence for a phenotype, J Gerontol Ser A, 56, M146, 10.1093/gerona/56.3.M146 · DOI · Paper page
  2. Sanders, 2016, Association between mortality and heritability of the scale of aging vigor in epidemiology, J Am Geriatr Soc, 64, 1679, 10.1111/jgs.14190 · DOI
  3. Simonsick, 2001, Measuring higher level physical function in well-functioning older adults: expanding familiar approaches in the Health ABC study, J Gerontol A Biol Sci Med Sci, 56, M644, 10.1093/gerona/56.10.m644 · DOI
  4. Houston, 2015, A long-term intensive lifestyle intervention and physical function: the look AHEAD Movement and Memory Study, Obesity (Silver Spring), 23, 77, 10.1002/oby.20944 · DOI
  5. Warner, 2000, Program for testing biological interventions to promote healthy aging, Mech Ageing Dev, 115, 199, 10.1016/s0047-6374(00)00118-4 · DOI
  6. Levine, 2018, An epigenetic biomarker of aging for lifespan and healthspan, Aging-Us, 10, 573, 10.18632/aging.101414 · DOI · Paper page
  7. Chen, 2019, Effects of vitamin D3 supplementation on epigenetic aging in overweight and obese African Americans with suboptimal vitamin D status: a randomized clinical trial, J Gerontol A Biol Sci Med Sci, 74, 91, 10.1093/gerona/gly223 · DOI · Paper page
  8. Justice, 2018, A framework for selection of blood-based biomarkers for geroscience-guided clinical trials: report from the TAME Biomarkers Workgroup, Geroscience, 40, 419, 10.1007/s11357-018-0042-y · DOI · Paper page
  9. Ravussin, 2015, A 2-year randomized controlled trial of human caloric restriction: feasibility and effects on predictors of health span and longevity, J Gerontol A Biol Sci Med Sci, 70, 1097, 10.1093/gerona/glv057 · DOI · Paper page
  10. Belsky, 2017, Change in the rate of biological aging in response to caloric restriction: CALERIE biobank analysis, J Gerontol A Biol Sci Med Sci, 73, 4, 10.1093/gerona/glx096 · DOI · Paper page
  11. Rockwood, 2007, Frailty in relation to the accumulation of deficits, J Gerontol A Biol Sci Med Sci, 62, 722, 10.1093/gerona/62.7.722 · DOI · Paper page
  12. Simpson, 2019, Impact of multidomain lifestyle intervention on frailty through the lens of deficit accumulation in adults with type 2 diabetes mellitus, J Gerontol A Biol Sci Med Sci, pii, glz197, 10.1093/gerona/glz197 · DOI · Paper page

Cited by

Sorted by citations

Metadata

Authors
Kritchevsky, S. B., & Justice, J. N.
Venue
The Journals of Gerontology: Series A
Published
2019-12-13
Volume
75
Issue
1
Pages
99-101
ISSN
  • 1079-5006
  • 1758-535X
Cited by
33
References
4
Language
en
Funders
National Institute on Aging (P30 AG21332 and K01)

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.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review