Evidence map›Paper›PMID 42830802›Full record

ReviewJSES reviews, reports, and techniques2026

Modifiable pre-operative physiological predictors of length of stay following shoulder arthroplasty: a systematic review.

Hussayn Shinwari, Bilal Ceesay, Hamzah Chaudhry, Hanan Taimur Shinwari, Wisal Khan, Usman Tahir, Arnau Sheikh, Jawwad Mihran Haider, Danielle Page, Abith Ganesh Kamath and 2 more

Abstract readReview
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

12 authors.

Hussayn ShinwariWorcestershire Acute Hospitals NHS Trust, Worcestershire Royal Hospital, Worcester, UK.
Bilal CeesayFaculty of Medicine, St George's University of London, London, UK.
Hamzah ChaudhryFaculty of Medicine, St George's University of London, London, UK.
Hanan Taimur ShinwariFaculty of Medicine, University of Sheffield, Sheffield, UK.
Wisal Khanlnstitute of Biotechnology and Genetic Engineering (IBGE), The University of Agriculture 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.
Danielle PageWorcestershire Acute Hospitals NHS Trust, Worcestershire Royal Hospital, Worcester, 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 volumes have increased markedly, intensifying pressure on hospital resources. Prolonged hospital length of stay (LOS) elevates costs, complications, and societal burden. Identifying modifiable pre-operative predictors of LOS may enable targeted optimization to improve outcomes and efficiency. Methods: A systematic search of PubMed, Embase, Medline, Scopus, and Web of Science was conducted through July 20, 2025, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 and Synthesis Without Meta-analysis guidelines. Studies including adults undergoing shoulder arthroplasty, reporting patient- or procedure-related factors associated with LOS, were included. Due to heterogeneity, qualitative synthesis was performed. Results: Sixty-four studies (n = 2,435,166) were included. Prolonged LOS was consistently associated with anemia (7 studies, 1.8-5.0 days depending on severity), malnutrition or nutritional risk (2 studies, 2.2-3.7 days), hypoalbuminemia (3 studies, 2.3-3.5 days), insulin-dependent or complicated diabetes (9 studies, 0.5-0.7-day increase), higher American Society of Anesthesiologists grade (7 studies, 2.6-4.3 days), frailty or functional indices (3 studies, graded increases), cumulative comorbidity burden (≥10 studies), and pre-operative opioid use (7 studies, 1.4-2.3 days). Dehydration (2 studies), electrolyte disturbances (3 studies), and mental health disorders particularly depression (7 studies, 2.0-3.0 days) were also associated with longer LOS. Morbid obesity (body mass index ≥40 kg/m Conclusions: Physiological reserve, metabolic factors, and mental health are key modifiable determinants of LOS after shoulder arthroplasty. Pre-operative optimization targeting anemia, nutrition, glycemic control, and mental health may reduce hospital LOS and facilitate short-stay or same-day pathways. These findings provide an evidence-based framework for perioperative planning to improve patient outcomes and resource utilization.

Indexed as

AnemiaDiabetes mellitusFrailtyHospital length of stayMalnutritionOpioid usePre-operative risk factorsShoulder arthroplasty

Identifiers

PMID42830802
PMCPMC13633913

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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.