Evidence map›Paper›PMID 27216811›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2017

Heterogeneity of Human Aging and Its Assessment.

Arnold Mitnitski, Susan E Howlett, Kenneth Rockwood

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 105 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
105citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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

105 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  3. BrainAGE, brain health, and mental disorders: A systematic review.Neuroscience and biobehavioral reviews · 2024
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  6. Trial
  7. Change in the Rate of Biological Aging in Response to Caloric Restriction: CALERIE Biobank Analysis.The journals of gerontology. Series A, Biological sciences and medical sciences · 2017
    Trial
  8. Article
  9. The association of frailty with age and lifespan in mice differs by strain and sex.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  10. High frailty index scores predict mortality and changes in blood-based biomarkers in aging female mice.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
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45 more citing papers are in PubMed but not listed here.

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

3 authors.

Arnold MitnitskiDepartment of Medicine and.
Susan E HowlettDepartment of Medicine and.
Kenneth RockwoodDepartment of Medicine and.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the heterogeneity in health of older adults is a compelling question in the biology of aging. We analyzed the performance of five measures of health heterogeneity, judging them by their ability to predict mortality. Using clinical and biomarker data on 1,013 participants of the Canadian Study of Health and Aging who were followed for up to 6 years, we calculated two indices of biological age using the Klemera and Doubal method, which controversially includes using chronological age as a "biomarker," and three frailty indices (FIs) that do not include chronological age: a standard clinical FI, an FI from standard laboratory blood tests and blood pressure, and their combination (FI-combined). Predictive validity was tested using Cox proportional hazards analysis and discriminative ability by the area under the receiver-operating characteristic curves. All five measures showed moderate performance that was improved by combining measures to evaluate larger numbers of items. The greatest addition in explanatory power came from the FI-combined that showed the best mortality prediction in an age-adjusted model. More extensive comparisons across different databases are required, but these results do not support including chronological age as a biomarker.

Indexed as

Geriatric AssessmentAgedAged, 80 and overAgingBiomarkersBlood Pressure DeterminationCanadaFemaleFrail ElderlyHealth Status DisparitiesHealth Status IndicatorsHumansMaleModels, TheoreticalMortalityPredictive Value of TestsBiomarkersBiological ageBiological agingBiomarkersFrailty indicesHealth heterogeneity

Identifiers

PMID27216811
PMCPMC5458417

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.