Evidence map›Paper›PMID 42095187›Full record

ArticleHealth science reports2026

Impact of Coracoacromial Ligament Thickness on Shoulder Impingement Syndrome: A Cross-Sectional Magnetic Resonance Imaging Study.

Pooneh Dehghan, Seyedhassan Langari, Fatemeh Ghiasi, Mojtaba Majdifar, Mohammad Hassabi, Fereshteh Fahim Dejban, Donya Moshrefiaraghi

Abstract read
In one paragraph

Article in Health science reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pooneh DehghanDepartment of Imaging, School of Medicine, Taleghani Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.
Seyedhassan LangariDepartment of Imaging, School of Medicine, Taleghani Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.
Fatemeh GhiasiDepartment of Imaging, School of Medicine, Taleghani Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.
Mojtaba MajdifarDepartment of Imaging, School of Medicine, Taleghani Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.
Mohammad HassabiDepartment of Sports and Exercise Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Fereshteh Fahim DejbanDepartment of Sports and Exercise Medicine Shahid Beheshti University of Medical Sciences Tehran Iran.
Donya MoshrefiaraghiDepartment of Imaging, School of Medicine, Taleghani Hospital Shahid Beheshti University of Medical Sciences Tehran Iran.ORCID https://orcid.org/0000-0002-5282-8825

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Shoulder impingement syndrome (SIS) is a common cause of shoulder pain and dysfunction. This study explored the association between coracoacromial ligament (CAL) thickness and SIS using magnetic resonance imaging (MRI). Methods: This cross-sectional MRI-based observational study involved 47 patients aged 18-70 years with shoulder pain. T2 fat-saturated sagittal MRI views were used to measure CAL thickness at proximal and distal portions by two radiologists. Statistical analyses included Results: Mean proximal CAL thickness was 1.24 mm (SD = 0.44 mm), and distal thickness was 1.50 mm (SD = 0.72 mm). Patients with SIS had significantly greater thickness at proximal (1.36 mm vs. 1.05 mm, Conclusion: CAL thickness, particularly at the distal portion, was strongly associated with SIS, independent of age but varying by gender. Measuring CAL thickness may aid SIS diagnosis.

Indexed as

coracoacromial ligamentmagnetic resonance imagingshoulder impingement syndromeshoulder pain

Identifiers

PMID42095187
PMCPMC13139633

What Socratic holds

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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 Socratic graph.