Evidence map›Paper›PMID 25730650›Full record

ArticleJournal of musculoskeletal & neuronal interactions2015

Lower-extremity muscle atrophy and fat infiltration after chronic spinal cord injury.

C D Moore, B C Craven, L Thabane, A C Laing, A W Frank-Wilson, S A Kontulainen, A Papaioannou, J D Adachi, L M Giangregorio

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In one paragraph

Article in Journal of musculoskeletal & neuronal interactions, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 2 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

53 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  9. Intermuscular Adipose Tissue in CKD: A Window into Muscle Quality and Health?Clinical journal of the American Society of Nephrology : CJASN · 2025
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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

9 authors.

C D MooreBrain and Spinal Cord Rehabilitation Program, Toronto Rehabilitation Institute, University Health Network.
B C Craven
L Thabane
A C Laing
A W Frank-Wilson
S A Kontulainen
A Papaioannou
J D Adachi
L M Giangregorio

Funding

CIHR 86521CIHR 88225-1
6 · The paper itself

Abstract

backgroundAtrophy and fatty-infiltration of lower-extremity muscle after spinal cord injury (SCI) predisposes individuals to metabolic disease and related mortality.

objectivesTo determine the magnitude of atrophy and fatty-infiltration of lower-extremity muscles and related factors in a group of individuals with chronic SCI and diverse impairment.

methodsMuscle cross-sectional area and density were calculated from peripheral quantitative computed tomography scans of the 66% site of the calf of 70 participants with chronic SCI [50 male, mean age 49 (standard deviation 12) years, C2-T12, AIS A-D] and matched controls. Regression models for muscle area and density were formed using 16 potential correlates selected a priori.

resultsParticipants with motor-complete SCI had ≈ 32% lower muscle area, and ≈ 43% lower muscle density values relative to controls. Participants with motor-incomplete SCI had muscle area and density values that were both ≈ 14% lower than controls. Body mass (+), tetraplegia (+), motor function (+), spasticity (+), vigorous physical activity (+), wheelchair use (-), age (-), and waist circumference (-) were associated with muscle size and/or density in best-fit regression models.

conclusionsThere are modifiable factors related to muscle size, body composition, and activity level that may offer therapeutic targets for preserving metabolic health after chronic SCI.

Indexed as

Body CompositionAdipose TissueAdultAgedFemaleHumansLegMaleMiddle AgedMuscle, SkeletalMuscular AtrophySpinal Cord InjuriesTomography, X-Ray Computed

Identifiers

PMID25730650
PMCPMC5092153

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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.