Evidence map›Paper›PMID 42831081›Full record

ReviewJSES reviews, reports, and techniques2026

Determinants of prolonged hospitalization following shoulder arthroplasty: a systematic review of patient and health system factors.

Hussayn Shinwari, Hamzah Chaudhry, Bilal Ceesay, Hanan Taimur Shinwari, Wisal Khan, Usman Tahir, Arnau Sheikh, Jawwad Mihran Haider, Abith Ganesh Kamath, Saran Singh Gill and 1 more

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In one paragraph

Review 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.

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

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

11 authors.

Hussayn ShinwariWorcestershire Acute Hospitals NHS Trust, Worcestershire Royal Hospital, Worcester, UK.
Hamzah ChaudhryFaculty of Medicine, St George's University of London, London, UK.
Bilal CeesayFaculty of Medicine, St George's University of London, London, UK.
Hanan Taimur ShinwariFaculty of Medicine, University of Sheffield, Sheffield, UK.
Wisal KhanInstitute of Biotechnology and Genetic Engineering (IBGE), The University of Agriculture Peshawar, Peshawar, Pakistan.
Usman TahirBarts Health NHS Trust, The Royal London Hospital, London, UK.
Arnau SheikhFaculty of Medicine, St George's University of London, London, UK.
Jawwad Mihran HaiderSt George's University Hospitals NHS Foundation Trust, St George's Hospital, London, UK.
Abith Ganesh KamathFaculty of Medicine, Imperial College London, London, UK.
Saran Singh GillFaculty of Medicine, Imperial College London, London, UK.
Kapil SugandFaculty of Medicine, Imperial College London, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Shoulder arthroplasty utilization is rising rapidly worldwide, driven predominantly by reverse procedures, with volumes projected to exceed 350,000 annually in the United States by 2025. Hospital length of stay (LOS) is a key driver of cost and resource utilization, yet no comprehensive synthesis of patient- and health system-related predictors exists. Methods: This systematic review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 and Synthesis Without Meta-analysis guidelines. Five databases (PubMed, Embase, Medline, Scopus, and Web of Science) were searched from inception to July 2025. Eligible studies assessed factors influencing LOS or prolonged hospitalization following shoulder arthroplasty. Qualitative synthesis was conducted due to heterogeneity. Results: A total of 52 studies comprising 2,153,034 patients were included. Advancing age (commonly ≥75-80 years; LOS increase 0.4-1.8 days; odds ratio [OR] 1.8-3.6) and female sex (OR: 1.5-2.8) were the most consistent predictors of prolonged LOS. Morbid obesity (body mass index ≥40 kg/m Conclusion: Prolonged LOS after shoulder arthroplasty is multifactorial, with non-modifiable demographic factors compounded by modifiable social and structural elements. These findings provide an evidence-based framework for risk stratification, pre-operative optimization, and health system redesign to facilitate safe LOS reduction and equitable care amid escalating procedural demand.

Indexed as

Health system factorsLength of stayPatient factorsPredictorsProlonged hospitalizationRisk factorsSame-day dischargeShoulder arthroplasty

Identifiers

PMID42831081
PMCPMC13634513

What OpenQuestion 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 OpenQuestion graph.