Evidence map›Paper›PMID 32840381›Full record

Observational studyAnnals of medicine2020

Handgrip strength improves prediction of type 2 diabetes: a prospective cohort study.

Setor K Kunutsor, Ari Voutilainen, Jari A Laukkanen

Open access · bronzeAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Annals of medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 4 pooled it
1.9field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 4 syntheses or guidelines pooled it, 29 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Setor K KunutsorNational Institute for Health Research Bristol Biomedical Research Centre, University Hospitals Bristol and Weston NHS Foundation Trust and the University of Bristol, Bristol, UK.ORCID 0000-0002-2625-0273
Ari VoutilainenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
Jari A LaukkanenInstitute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland.
University of Eastern Finland · FIUniversity Hospitals Bristol NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to determine whether handgrip strength (HGS)improves type 2 diabetes (T2D) risk prediction beyond conventional risk factors.

designHandgrip strength was assessed at baseline in 776 individuals aged 60-72 years without a history of T2D in a prospective cohort. Handgrip strength was normalized to account for the effect of body weight. Hazard ratios (HRs) (95% confidence intervals [CI]) and measures of risk discrimination for T2D and reclassification [net reclassification improvement (NRI), integrated discrimination index (IDI)] were assessed.

resultsDuring 18.1 years median follow-up, 59 T2D events were recorded. The HR (95% CI)for T2D adjusted for conventional risk factors was 0.49 (0.31-0.80) per 1 standard deviation higher normalised HGS and was 0.54 (0.31-0.95) and 0.53 (0.29-0.97) on adjustment for risk factors in the DESIR and KORA S4/F4 prediction models, respectively. Adding normalised HGS to these risk scores was associated with improved risk prediction as measured by differences in -2 log likelihood, NRI and IDI. Sex-specific HRs and risk prediction findings using sensitive measures suggested the overall results were driven by those in women.

conclusionAdding measurements of HGS to conventional risk factors might improve T2D risk assessment, especially in women. Further evaluation is needed in larger studies. KEY MESSAGES Handgrip strength (HGS) is independently associated with reduced risk of type 2 diabetes (T2D), but its utility in classifying or predicting T2D risk has not been explored. In this prospective cohort study of older Caucasian men and women, adding measurements of HGS to conventional risk factors improved T2D risk assessment, especially in women. Assessment of HGS is simple and inexpensive and could prove a valuable clinical tool in the early identification of people at high risk of future T2D.

Indexed as

Hand StrengthAgedBody WeightDiabetes Mellitus, Type 2Feasibility StudiesFemaleFollow-Up StudiesHumansIncidenceMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsProspective StudiesRisk AssessmentRisk Factorscohort studyHandgrip strengthrisk predictiontype 2 diabetes

Identifiers

PMID32840381
PMCPMC7877957
OpenAlexW3080446550

What OpenQuestion holds

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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.