Evidence map›Paper›PMID 41846768›Full record

ArticleJournal of pharmacy & bioallied sciences2025

Comparative Analysis of Ultrasound and MRI in Diagnosing Rotator Cuff Injuries in a Tertiary Care Setting.

Sudhakar Pandya, Poonam Dabhade, Bromesh Sanghvi, Harsh Anadkat, Vivek Amritbhai Patel, Kaival Malav Shah, Nikhil Vaidya

Abstract read
In one paragraph

Article in Journal of pharmacy & bioallied sciences, 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.

Sudhakar PandyaDepartment of Radiology, Dr. M. K. Shah Medical College and Research Center, Ahmedabad, Gujarat, India.
Poonam DabhadeDepartment of Radiology, SMBT Institute of Medical Sciences and Research Centre, Nashik, Maharashtra, India.
Bromesh SanghviDepartment of Orthopaedics, Aster Clinics, Dubai.
Harsh AnadkatIntern, Government Medical College, Baroda, Gujarat, India.
Vivek Amritbhai PatelDepartment of Orthopaedics, Gujarat Adani Institute of Medical Sciences, Kachchh, Gujarat, India.
Kaival Malav ShahSmt. B. K. Shah Medical Institute and Research Center, Vadodara, Gujarat, India.
Nikhil VaidyaDepartment of Acute Medicine, Calderdale and Huddersfield NHS Trust, Lindley, Huddersfield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of this study is to assess the diagnostic accuracy of ultrasonography in comparison to magnetic resonance imaging for evaluating rotator cuff injuries, while also examining the reliability of ultrasonography as a primary imaging technique. Materials and Methods: A prospective observational study of 84 individuals focused on those with shoulder pain indicating rotator cuff disease. After an ultrasound, all patients had an MRI. Sensitivity, specificity, PPV, NPV, and diagnostic accuracy were calculated for tendon and bursal structures. Results: The findings indicate that ultrasound exhibited the highest sensitivity for identifying supraspinatus tears at 83.85%. Additionally, it showed a notable specificity in assessing subscapularis (94.74%), biceps tendon (96.65%), and bursitis-related conditions. A statistically significant correlation was observed in the evaluation of the subscapularis using MRI, with a Conclusion: The high specificity and accessibility of this imaging tool underscore its importance as a primary option, while MRI continues to play a crucial role in addressing complex or posterior shoulder pathologies.

Indexed as

Diagnostic accuracyMRIrotator cuff injuryshoulder painultrasonography

Identifiers

PMID41846768
PMCPMC12991667

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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.