Evidence map›Paper›PMID 31221000›Full record

ArticleJournal of the American Heart Association2019

Associations Between Measures of Sarcopenic Obesity and Risk of Cardiovascular Disease and Mortality: A Cohort Study and Mendelian Randomization Analysis Using the UK Biobank.

Ruth E Farmer, Rohini Mathur, A Floriaan Schmidt, Krishnan Bhaskaran, Ghazaleh Fatemifar, Sophie V Eastwood, Chris Finan, Spiros Denaxas, Liam Smeeth, Nish Chaturvedi

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
87citing 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

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

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

27 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.

Ruth E Farmer1 Department of Non Communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom.
Rohini Mathur1 Department of Non Communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom.
A Floriaan Schmidt2 Institute of Cardiovascular Science University College London United Kingdom.
Krishnan Bhaskaran1 Department of Non Communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom.
Ghazaleh Fatemifar5 The Farr Institute of Health Informatics London United Kingdom.
Sophie V Eastwood2 Institute of Cardiovascular Science University College London United Kingdom.
Chris Finan3 The Institute of Computer Science University College London United Kingdom.
Spiros Denaxas5 The Farr Institute of Health Informatics London United Kingdom.
Liam Smeeth1 Department of Non Communicable Disease Epidemiology London School of Hygiene & Tropical Medicine London United Kingdom.
Nish Chaturvedi2 Institute of Cardiovascular Science University College London United Kingdom.

Funding

Medical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MC_UU_00019/2Medical Research Council MR/K006584/1Wellcome Trust 201375/Z/16/Z
6 · The paper itself

Abstract

Background The "healthy obese" hypothesis suggests the risks associated with excess adiposity are reduced in those with higher muscle quality (mass/strength). Alternative possibilities include loss of muscle quality as people become unwell (reverse causality) or unmeasured confounding. Methods and Results We conducted a cohort study using the UK Biobank (n=452 931). Baseline body mass index ( BMI) was used to quantify adiposity and handgrip strength ( HGS ) used for muscle quality. Outcomes were fatal and non-fatal cardiovascular disease, and mortality. As a secondary analysis we used waist-hip-ratio or fat mass percentage instead of BMI , and skeletal muscle mass index instead of HGS . In a subsample, we used gene scores for BMI , waist-hip-ratio and HGS in a Mendelian randomization ( MR ). BMI defined obesity was associated with an increased risk of all outcomes (hazard ratio [ HR ] range 1.10-1.82). Low HGS was associated with increased risks of cardiovascular and all-cause mortality ( HR range 1.39-1.72). HR s for the association between low HGS and cardiovascular disease events were smaller ( HR range 1.05-1.09). There was no suggestion of an interaction between HGS and BMI to support the healthy obese hypothesis. Results using other adiposity metrics were similar. There was no evidence of an association between skeletal muscle mass index and any outcome. Factorial Mendelian randomization confirmed no evidence for an interaction. Low genetically predicted HGS was associated with an increased risk of mortality ( HR range 1.08-1.19). Conclusions Our analyses do not support the healthy obese concept, with no evidence that the adverse effect of obesity on outcomes was reduced by improved muscle quality. Lower HGS was associated with increased risks of mortality in both observational and MR analyses, suggesting reverse causality may not be the sole explanation.

Indexed as

MortalityAdipose TissueAgedBody CompositionBody Mass IndexCardiovascular DiseasesCohort StudiesFemaleHand StrengthHumansMaleMendelian Randomization AnalysisMiddle AgedMuscle, SkeletalObesityProportional Hazards Modelscardiovascular outcomesepidemiologygrip strengthMendelian randomizationobesity

Identifiers

PMID31221000
PMCPMC6662360

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.