Evidence map›Paper›PMID 29627372›Full record

ArticleJournal of diabetes and its complications2018

Psoas and paraspinous muscle index as a predictor of mortality in African American men with type 2 diabetes mellitus.

Mariana Murea, Leon Lenchik, Thomas C Register, Gregory B Russell, Jianzhao Xu, S Carrie Smith, Donald W Bowden, Jasmin Divers, Barry I Freedman

Abstract read
In one paragraph

Article in Journal of diabetes and its complications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

  1. Automated Muscle Measurement on Chest CT Predicts All-Cause Mortality in Older Adults From the National Lung Screening Trial.The journals of gerontology. Series A, Biological sciences and medical sciences · 2021
    Trial
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Weight Change, Lifestyle, and Mortality in Patients With Type 2 Diabetes.The Journal of clinical endocrinology and metabolism · 2022
    Observational
  8. Observational
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  10. Review
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  12. Article
  13. Observational
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  15. Review
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

9 authors at 1 institution in 1 country.

Mariana MureaDepartment of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA. Electronic address: mmurea@wakehealth.edu.
Leon LenchikDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Thomas C RegisterDepartment of Pathology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Gregory B RussellDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jianzhao XuDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
S Carrie SmithDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Donald W BowdenDepartment of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jasmin DiversDepartment of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Barry I FreedmanDepartment of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA. Electronic address: bfreedma@wakehealth.edu.
Wake Forest University · US

Funding

Wake Forest Alzheimer's Disease Core CenterP30AG049638 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAPP, STEPHEN R · 2016 to 2020
$12.2M
Subclinical CVD in African American Type 2 DiabeticsR01DK071891 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI FREEDMAN, BARRY IRA · 2007 to 2016
$4.5M
Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
NHLBI NIH HHS R01 HL067348NIA NIH HHS P30 AG049638NIDDK NIH HHS R01 DK071891
6 · The paper itself

Abstract

aimRecent studies revealed a correlation between skeletal muscle mass index and density with longevity; these studies largely evaluated appendicular skeletal muscles in older Caucasians. This retrospective cohort study assessed the association between axial skeletal muscles size and density with survival in African Americans with type 2 diabetes mellitus.

methodsPsoas and paraspinous muscle mass index (cross sectional area/height

resultsAfter median of 7.1(5.9, 8.2) years follow-up, 30(9.6%) of women and 49(19.1%) of men were deceased. In fully-adjusted models, psoas muscle mass index and paraspinous muscle mass index were inversely associated with mortality in men (psoas muscle mass index, hazard ratio [HR] = 0.61, P = 0.004; paraspinous muscle mass index, HR = 0.64, P = 0.004), but not in women. Psoas and paraspinous muscle densities did not associate with all-cause mortality. A penalized Cox regression that involved all covariates and predictors associated with mortality showed that only paraspinous muscle mass index remained a significant predictor of mortality (HR = 0.65, P = 0.02).

conclusionIndependent from established risk factors for mortality, higher psoas and paraspinous muscle index associate with reduced all-cause mortality in middle-aged African American men with type 2 diabetes mellitus.

Indexed as

Black or African AmericanBody CompositionCross-Sectional StudiesDiabetes Mellitus, Type 2Health Status IndicatorsHumansMaleMiddle AgedParaspinal MusclesPrognosisPsoas MusclesRetrospective StudiesSurvival AnalysisTomography, X-Ray ComputedAfrican AmericanComputed tomographyMortalityMuscleType 2 diabetes

Identifiers

PMID29627372
PMCPMC5970956
OpenAlexW2790780496

What OpenQuestion holds

Textmetadata
LicenceTDM
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.