Evidence map›Paper›PMID 33870707›Full record

ArticleJournal of the American Heart Association2021

Associations of Skeletal Muscle Mass and Fat Mass With Incident Cardiovascular Disease and All-Cause Mortality: A Prospective Cohort Study of UK Biobank Participants.

Rebecca Knowles, Jennifer Carter, Susan A Jebb, Derrick Bennett, Sarah Lewington, Carmen Piernas

Open access · goldAbstract readComparative StudyMulticenter Study
In one paragraph

Article in Journal of the American Heart Association, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 2% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 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

6 authors at 1 institution in 1 country.

Rebecca KnowlesNuffield Department of Population Health University of Oxford United Kingdom.
Jennifer CarterNuffield Department of Population Health University of Oxford United Kingdom.
Susan A JebbNuffield Department of Primary Care Health Sciences University of Oxford United Kingdom.
Derrick BennettNuffield Department of Population Health University of Oxford United Kingdom.
Sarah LewingtonNuffield Department of Population Health University of Oxford United Kingdom.
Carmen PiernasNuffield Department of Primary Care Health Sciences University of Oxford United Kingdom.
University of Oxford · GB

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK 16896Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_U137686857Medical Research Council MC_UU_12026/3
6 · The paper itself

Abstract

Background There is debate whether body mass index is a good predictor of health outcomes because different tissues, namely skeletal muscle mass (SMM) and fat mass (FM), may be differentially associated with risk. We investigated the association of appendicular SMM (aSMM) and FM with fatal and nonfatal cardiovascular disease (CVD) and all-cause mortality. We compared their prognostic value to that of body mass index. Methods and Results We studied 356 590 UK Biobank participants aged 40 to 69 years with bioimpedance analysis data for whole-body FM and predicted limb muscle mass (to calculate aSMM). Associations between aSMM and FM with CVD and all-cause mortality were examined using multivariable Cox proportional hazards models. Over 3 749 501 person-years of follow-up, there were 27 784 CVD events and 15 844 all-cause deaths. In men, aSMM was positively associated with CVD incidence (hazard ratio [HR] per 1 SD 1.07; 95% CI, 1.06-1.09) and there was a curvilinear association in women. There were stronger positive associations between FM and CVD with HRs per SD of 1.20 (95% CI, 1.19-1.22) and 1.25 (95% CI, 1.23-1.27) in men and women respectively. Within FM tertiles, the associations between aSMM and CVD risk largely persisted. There were J-shaped associations between aSMM and FM with all-cause mortality in both sexes. Body mass index was modestly better at discriminating CVD risk. Conclusions FM showed a strong positive association with CVD risk. The relationship of aSMM with CVD risk differed between sexes, and potential mechanisms need further investigation. Body fat and SMM bioimpedance measurements were not superior to body mass index in predicting population-level CVD incidence or all-cause mortality.

Indexed as

Adipose TissueAdultAgedBiological Specimen BanksBody Mass IndexCardiovascular DiseasesCause of DeathFemaleHumansIncidenceMaleMiddle AgedMuscle, SkeletalRetrospective StudiesRisk FactorsSurvival Rateall‐cause mortalitycardiovascular diseasecohort studyfat massskeletal muscle mass

Identifiers

PMID33870707
PMCPMC8200765
OpenAlexW3155517938

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.