Evidence map›Paper›PMID 42668474›Full record

ArticleJSES reviews, reports, and techniques2026

A cross-sectional survey comparing management of proximal humerus fractures across a multinational upper limb specialist surgeon panel.

Akhilesh Pradhan, Ananth Srinivasan, Faheem Bhatti, Matthew Baguley, H P Singh

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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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

5 authors.

Akhilesh PradhanTrauma & Orthopaedic Department, University Hospitals of Leicester (UHL), Leicester, UK.
Ananth SrinivasanTrauma & Orthopaedic Department, University Hospitals of Leicester (UHL), Leicester, UK.
Faheem BhattiTrauma & Orthopaedic Department, University Hospitals of Leicester (UHL), Leicester, UK.
Matthew BaguleyTrauma & Orthopaedic Department, University Hospitals of Leicester (UHL), Leicester, UK.
H P SinghTrauma & Orthopaedic Department, University Hospitals of Leicester (UHL), Leicester, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Proximal humerus fractures (PHFs) are the most common traumatic bony injury to the shoulder. There is lack of consensus in the optimal method of management for fractures with varying morphologies/patterns. This study assesses treatment choices for 3- or 4-part PHFs across surgeons from a multinational panel, focusing on operative versus non-operative strategies and whether inter-surgeon agreement exists within and between countries. Methods: A prospective cross-sectional survey was completed by a cohort of consultant/attending-level shoulder surgeons from the United Kingdom, United States, India, and Australia. Treatment decisions for 20 individual cases were assessed with standardization of clinical data and imaging. The case range included patients with a breadth of demographics for age (20-80 years) and varying comorbidities including a comprehensive range of fracture morphologies for 3/4-part Neer PHFs with increasing severity, fragmentation, tuberosity displacement, and head split or dislocations. Statistical analysis was performed using a mixed-effects logistic regression model and Krippendorff's alpha. Statistical significance was set at Results: Seventy-five surgeons worldwide responded to the study. There was surgeon representation from Asia (India, 26/75, 34.7%), Europe (UK, 24/75, 32.0%), North America (US, 18/75, 24.0%), and Oceania (Australia, 7/75, 9.3%). Thirty-nine (39/75, 52%) surgeons had over 10 years of experience in treating PHFs. International agreement was low between surgeons (K-A 0.238) regarding overall decision-making. After adjustment for surgeon country and patient demographics, patient age (<65 vs. ≥ 65 years) was not independently associated with the likelihood of recommending operative management (estimate 0.34, Conclusion: This study provides an insight into the international variation among surgeons where healthcare characteristics and patient factors contribute to the decision-making processes involved in the management of PHFs. Further research is required to develop standardized, evidence-based guidelines on the management of PHFs.

Indexed as

FixationHumeral headInternational comparisonProximal humerusReplacementTrauma

Identifiers

PMID42668474
PMCPMC13524549

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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.