Evidence map›Paper›PMID 35524747›Full record

ArticleAge and ageing2022

Frailty indices based on self-report, blood-based biomarkers and examination-based data in the Canadian Longitudinal Study on Aging.

Joanna M Blodgett, Mario U Pérez-Zepeda, Judith Godin, D Scott Kehler, Melissa K Andrew, Susan Kirkland, Kenneth Rockwood, Olga Theou

Abstract read
In one paragraph

Article in Age and ageing, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Associations Between Deficit Accumulation Frailty and Baseline Markers of Lifestyle in the U.S. POINTER Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2025
    Trial
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  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
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  6. Heart Stress, Frailty and Mortality Risk in two prospective cohorts.medRxiv : the preprint server for health sciences · 2026
    Article
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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

8 authors.

Joanna M BlodgettDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Mario U Pérez-ZepedaDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Judith GodinDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
D Scott KehlerDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Melissa K AndrewDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Susan KirklandDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Kenneth RockwoodDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.
Olga TheouDepartment of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada.

Funding

CIHR ACD-170302
6 · The paper itself

Abstract

backgroundFrailty can be operationalised using the deficit accumulation approach, which considers health deficits across multiple domains. We aimed to develop, validate and compare three different frailty indices (FI) constructed from self-reported health measures (FI-Self Report), blood-based biomarkers (FI-Blood) and examination-based assessments (FI-Examination).

methodsUp to 30,027 participants aged 45-85 years from the baseline (2011-2015) comprehensive cohort of the Canadian Longitudinal Study on Aging were included in the analyses. Following standard criteria, three FIs were created: a 48-item FI-Self Report, a 23-item FI-Blood and a 47-item FI-Examination. In addition a 118-item FI-Combined was constructed. Mortality status was ascertained in July 2019.

resultsFI-Blood and FI-Examination demonstrated broader distributions than FI-Self Report. FI-Self Report and FI-Blood scores were higher in females, whereas FI-Examination scores were higher in males. All FI scores increased nonlinearly with age and were highest at lower education levels. In sex and age-adjusted models, a 0.01 increase in FI score was associated with a 1.08 [95% confidence interval (CI): 1.07,1.10], 1.05 (1.04,1.06), 1.07 (1.05,1.08) and a 1.13 (1.11,1.16) increased odds of mortality for FI-Self Report, FI-Blood, FI-Examination and FI-Combined, respectively. Inclusion of the three distinct FI types in a single model yielded the best prognostic accuracy and model fit, even compared to the FI-Combined, with all FIs remaining independently associated with mortality.

conclusionCharacteristics of all FIs were largely consistent with previously established FIs. To adequately capture frailty levels and to improve our understanding of the heterogeneity of ageing, FIs should consider multiple types of deficits including self-reported, blood and examination-based measures.

Indexed as

FrailtyAgedAgingBiomarkersCanadaFemaleFrail ElderlyGeriatric AssessmentHumansLongitudinal StudiesMaleSelf ReportBiomarkersageingCanadian Longitudinal Study on Aging (CLSA)epidemiologyFrailtyolder people

Identifiers

PMID35524747
PMCPMC9078045

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Registered trials

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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.