Evidence map›Paper›PMID 39294201›Full record

ArticleScientific reports2024

Relative muscle indices and healthy reference values for sarcopenia assessment using T10 through L5 computed tomography skeletal muscle area.

Brian A Derstine, Sven A Holcombe, Nicholas C Wang, Brian E Ross, June A Sullivan, Stewart C Wang, Grace L Su

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Future of CT body composition research: Methodological discrepancies and advances.Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition · 2026
    Review
  3. Article
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  6. Opportunistic Screening on Chest CT, From theAJR. American journal of roentgenology · 2026
    Review
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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

7 authors.

Brian A DerstineMichigan Medicine, Ann Arbor, MI, USA. bderstin@med.umich.edu.
Sven A HolcombeMichigan Medicine, Ann Arbor, MI, USA.
Nicholas C WangMichigan Medicine, Ann Arbor, MI, USA.
Brian E RossMichigan Medicine, Ann Arbor, MI, USA.
June A SullivanMichigan Medicine, Ann Arbor, MI, USA.
Stewart C WangMichigan Medicine, Ann Arbor, MI, USA.
Grace L SuMichigan Medicine, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia is the age-related loss of skeletal muscle mass and function. Computed tomography (CT) assessments of sarcopenia utilize measurements of skeletal muscle cross-sectional area (SMA), radiation attenuation (SMRA), and intramuscular adipose tissue (IMAT). Unadjusted SMA is strongly correlated with both height and body mass index (BMI); therefore, SMA must be adjusted for body size to assess sarcopenic low muscle mass fairly in individuals of different heights and BMI. SMA/height (rather than

Indexed as

Muscle, SkeletalSarcopeniaTomography, X-Ray ComputedAdipose TissueAdultAgedBody Mass IndexFemaleHumansLumbar VertebraeMaleMiddle AgedReference ValuesYoung AdultMorphomicsSarcopeniaSkeletal muscle

Identifiers

PMID39294201
PMCPMC11410951

What OpenQuestion holds

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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.