Evidence map›Paper›PMID 41299542›Full record

ArticleJournal of orthopaedic surgery and research2025

Predictors for day case surgery in shoulder arthroplasty: a study using the National Joint Registry and Hospital Episode Statistics for England.

O O'Malley, A Davies, M T A Sharabiani, A Rangan, S Sabharwal, P Reilly

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In one paragraph

Article in Journal of orthopaedic surgery and research, 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. Review
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

6 authors.

O O'MalleyCutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College, London, UK. o.omalley23@imperial.ac.uk.
A DaviesCutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College, London, UK.
M T A SharabianiDepartment of Primary Care and Public Health, School of Public Health, Imperial College, London, UK.
A RanganHull York Medical School and Department of Health Sciences, University of York, Heslington, York, YO10 5DD, UK.
S SabharwalDepartment of Trauma and Orthopaedics, Imperial College Healthcare NHS Foundation Trust, London, UK.
P ReillyCutrale Perioperative and Ageing Group, Department of Bioengineering, Imperial College, London, UK.

Funding

British Elbow and Shoulder Society Pump Priming GrantRoyal College of Surgeons of England Research Fellowship
6 · The paper itself

Abstract

introductionAs shoulder arthroplasty volume increases in the UK, capacity challenges within a stretched health service mean that day case shoulder arthroplasty offers a value based solution. Patient selection for this is crucial and there is lack of evidence that informs guidance on patient selection for day case surgery. This study aims to use a large population reflective database, The National Joint Registry (NJR), to identify independent predictors for day case shoulder arthroplasty as well as develop a statistical tool that aids patient selection.

methodAll shoulder arthroplasty procedures were requested from 1st April 2012 to 31st March 2022 from the NJR. These were then linked to the Hospital Episode Statistics for England (HES) to identify patient co-morbidities. A multivariable regression model was used to identify independent predictors of day case surgery. These predictors were then used to develop a clinical tool to predict likelihood of day case surgery with clinician inputted parameters.

resultsThere were 40,877 patients available for analysis. Younger age, being male having a lower ASA score, being operated on Monday-Thursday and having a Total Shoulder Arthroplasty or a Hemiarthroplasty rather than a Reverse Shoulder arthroplasty were significant predictors of having day case surgery. Having a diagnosis of dementia or paraplegia reduced the risk of having day case surgery. Using these predictive variables an excel prediction tool was developed with moderate predictive ability (AUC 0.65 GOF 0.82).

conclusionThis study has identified independent predictors for day case surgery and has developed a tool that can act as an adjunct for clinicians selecting patients for day case shoulder arthroplasty.

Indexed as

Ambulatory Surgical ProceduresArthroplasty, Replacement, ShoulderRegistriesShoulder JointAdultAgedAged, 80 and overEnglandFemaleHemiarthroplastyHumansMaleMiddle AgedPatient SelectionDay case arthroplastyDay case shoulder arthroplastyDay case surgeryShoulder arthroplasty

Identifiers

PMID41299542
PMCPMC12659241

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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.