Evidence map›Paper›PMID 35700237›Full record

ArticleEndocrine connections2022

3T-MRI-based age, sex and site-specific markers of musculoskeletal health in healthy children and young adults.

Huda M Elsharkasi, Suet C Chen, Lewis Steell, Shuko Joseph, Naiemh Abdalrahaman, Christie McComb, Blair Johnston, John Foster, Sze Choong Wong, S Faisal Ahmed

Open access · goldAbstract read
In one paragraph

Article in Endocrine connections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
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 at 2 institutions in 1 country.

Huda M ElsharkasiDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.ORCID 0000-0001-8201-9511
Suet C ChenDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.
Lewis SteellDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.
Shuko JosephDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.
Naiemh AbdalrahamanDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.
Christie McCombDepartment of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK.
Blair JohnstonDepartment of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK.
John FosterDepartment of Clinical Physics, NHS Greater Glasgow & Clyde, Glasgow, UK.
Sze Choong WongDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.
S Faisal AhmedDevelopmental Endocrinology Research Group, University of Glasgow, Glasgow, UK.ORCID 0000-0003-0689-5549
University of Glasgow · GBNHS Greater Glasgow and Clyde · GB

Funding

Chief Scientist Office CAF/DMD/14/01
6 · The paper itself

Abstract

Objective: The aim of this study is to investigate the role of 3T-MRI in assessing musculoskeletal health in children and young people. Design: Bone, muscle and bone marrow imaging was performed in 161 healthy participants with a median age of 15.0 years (range, 8.0, 30.0). Methods: Detailed assessment of bone microarchitecture (constructive interference in the steady state (CISS) sequence, voxel size 0.2 × 0.2 × 0.4 mm3), bone geometry (T1-weighted turbo spin echo (TSE) sequence, voxel size 0.4 × 0.4 × 2 mm3) and bone marrow (1H-MRS, point resolved spectroscopy sequence (PRESS) (single voxel size 20 × 20 × 20 mm3) size and muscle adiposity (Dixon, voxel size 1.1 × 1.1 × 2 mm3). Results: There was an inverse association of apparent bone volume/total volume (appBV/TV) with age (r = -0.5, P < 0.0005). Cortical area, endosteal and periosteal circumferences and muscle cross-sectional area showed a positive association to age (r > 0.49, P < 0.0001). In those over 17 years of age, these parameters were also higher in males than females (P < 0.05). This sex difference was also evident for appBV/TV and bone marrow adiposity (BMA) in the older participants (P < 0.05). AppBV/TV showed a negative correlation with BMA (r = -0.22, P = 0.01) which also showed an association with muscle adiposity (r = 0.24, P = 0.04). Cortical geometric parameters were highly correlated with muscle area (r > 0.57, P < 0.01). Conclusions: In addition to providing deep insight into the normal relationships between bone, fat and muscle in young people, these novel data emphasize the role of MRI as a non-invasive method for performing a comprehensive and integrated assessment of musculoskeletal health in the growing skeleton.

Indexed as

adipositybonemarrowMRImuscle

Identifiers

PMID35700237
PMCPMC9346338
OpenAlexW4282930058

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.