Evidence map›Paper›PMID 41416075›Full record

ArticleFrontiers in medicine2025

Increased adiposity and impaired sleep are associated with severity of greater trochanteric pain syndrome: a cross-sectional study.

Marco Alessandro Minetto, Chiara Busso, Marta Andrighetti, Elisabetta Quilico, John A Shepherd, Steven B Heymsfield, Angelo Pietrobelli

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. 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

7 authors.

Marco Alessandro MinettoDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Chiara BussoDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Marta AndrighettiDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
Elisabetta QuilicoDivision of Physical Medicine and Rehabilitation, Department of Surgical Sciences, University of Turin, Turin, Italy.
John A ShepherdDepartment of Epidemiology, University of Hawaii Cancer Center, Honolulu, HI, United States.
Steven B HeymsfieldPennington Biomedical Research Center, Baton Rouge, LA, United States.
Angelo PietrobelliPennington Biomedical Research Center, Baton Rouge, LA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To investigate the feasibility and clinical validity of a digital anthropometric approach for body size and composition assessment in patients with greater trochanteric pain syndrome and to examine physical, sleep, and pain characteristics in different subgroups of patients. Methods: A convenience sample of 62 female patients was recruited. Administration of questionnaires, pain drawing analysis, evaluation of physical performance, body size and composition assessments were performed. Results: Pain intensity was significantly higher during evening (median value of 5) compared to both morning and afternoon (median values of 4). The median values of the Pittsburgh Sleep Quality Index (PSQI) global score and of sleep duration were 9.0 and 6.0 h, respectively. The median values of body fat percentage and fat mass index were 35.2% and 9.4 kg/m Conclusion: Tendinopathic patients presented an impairment of sleep quality and quantity and an increased central adiposity that can be documented through clinimetric and body composition assessments.

Indexed as

body compositiondigital anthropometryobesitypain drawingphysical performancetendinopathy

Identifiers

PMID41416075
PMCPMC12708603

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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.