Evidence map›Paper›PMID 28220898›Full record

ArticleScientific reports2017

A Frailty Index Based On Deficit Accumulation Quantifies Mortality Risk in Humans and in Mice.

K Rockwood, J M Blodgett, O Theou, M H Sun, H A Feridooni, A Mitnitski, R A Rose, J Godin, E Gregson, S E Howlett

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 135 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
135citing papers in PubMed, 1 pooled it
15.6field-weighted citation impact, top 1% 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

135 citing papers in PubMed, 1 synthesis or guideline pooled it, 254 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. How human and animal frailty index studies can inform each other: a brief narrative review.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. 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
    Article
  11. Developing and internally validating AI-based aging resilience biomarkers in non-human primates.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Social and clinical frailty indices in aging mice: a comparative analysis of longitudinal and cross-sectional designs.The journals of gerontology. Series A, Biological sciences and medical sciences · 2026
    Article
  17. Observational
  18. Article
  19. Article
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75 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

10 authors at 1 institution in 1 country.

K RockwoodGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
J M BlodgettGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
O TheouGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
M H SunDepartment of Pharmacology, Dalhousie University, Halifax, N.S., Canada.
H A FeridooniDepartment of Pharmacology, Dalhousie University, Halifax, N.S., Canada.
A MitnitskiGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
R A RoseDepartment of Physiology &Biophysics, Dalhousie University, Halifax, N.S., Canada.
J GodinGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
E GregsonGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
S E HowlettGeriatric Medicine, Department of Medicine, Dalhousie University, Halifax, N.S., Canada.
Dalhousie University · CA

Funding

CIHR MOP 126018CIHR MOP 209888CIHR MOP 97973Medical Research Council MC_UU_12019/1
6 · The paper itself

Abstract

Although many common diseases occur mostly in old age, the impact of ageing itself on disease risk and expression often goes unevaluated. To consider the impact of ageing requires some useful means of measuring variability in health in animals of the same age. In humans, this variability has been quantified by counting age-related health deficits in a frailty index. Here we show the results of extending that approach to mice. Across the life course, many important features of deficit accumulation are present in both species. These include gradual rates of deficit accumulation (slope = 0.029 in humans; 0.036 in mice), a submaximal limit (0.54 in humans; 0.44 in mice), and a strong relationship to mortality (1.05 [1.04-1.05] in humans; 1.15 [1.12-1.18] in mice). Quantifying deficit accumulation in individual mice provides a powerful new tool that can facilitate translation of research on ageing, including in relation to disease.

Indexed as

AdultAgedAge FactorsAnimalsFemaleFrailtyHumansMaleMiceMiddle AgedYoung Adult

Identifiers

PMID28220898
PMCPMC5318852
OpenAlexW2591104365

What OpenQuestion 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 OpenQuestion graph.