Evidence map›Paper›PMID 40486774›Full record

ArticleJSES international2025

Glenoid morphology classification and computed tomography scanning prior to total shoulder arthroplasty: a population-level analysis from the Australian Orthopaedic Association National Joint Replacement Registry.

Helen Ingoe, Roberto Pareyon, Mohammad N Jomaa, Marine Launay, Kristine Italia, Jashint Maharaj, David Rj Gill, Carl Holder, Sarah L Whitehouse, Kenneth Cutbush and 1 more

Abstract read
In one paragraph

Article in JSES international, 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

11 authors.

Helen IngoeQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Roberto PareyonQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Mohammad N JomaaQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Marine LaunayQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Kristine ItaliaQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Jashint MaharajQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
David Rj GillAustralian Orthopaedic Association National Joint Replacement Registry (AOANJRR), Adelaide, SA, Australia.
Carl HolderSouth Australia Health and Medical Research Institute (SAHMRI), Adelaide, SA, Australia.
Sarah L WhitehouseQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Kenneth CutbushQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.
Ashish GuptaQueensland Unit for Advanced Shoulder Research (QUASR), Brisbane, QLD, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Evaluation of glenoid and humeral morphology is important prior to total shoulder arthroplasty and commonly measured on standard radiographs with further evaluation by computed tomography (CT). This study analyzed data from the Australian Orthopaedic Association National Joint Replacement Registry to assess the effect of glenoid morphology and preoperative CT scan on short-term implant survivorship. Methods: The Australian Orthopaedic Association National Joint Replacement Registry identified all primary total stemless and stemmed anatomic total shoulder arthroplasties (aTSAs) and reverse total shoulder arthroplasties (rTSA) undertaken for all diagnoses during the period April 2004 to December 2022. The study population was grouped into glenoid morphology classified according to the Walch classification and to those with or without preoperative CT scan. The cumulative percent revision, which was defined using Kaplan-Meier estimates of survivorship to describe the time to the first revision, was calculated based upon glenoid morphology and CT scan availability. Hazard ratios from Cox proportional hazards models, adjusting for age and sex, were performed to compare the revision rates among groups. Results: There were 4071 (10.7%) primary stemmed aTSA, 3196 (8.4%) stemless aTSA and 30,702 (80.9%) primary rTSA included. Of these, 2694 (77%), 2543 (88.6%) and 21,007 (83.8%) patients had a preoperative CT scan, respectively. There was no difference in the cumulative percent revision at any time point between glenoid type A or B for any arthroplasty type. Glenoid morphology (type A or B) alone and in conjunction with a preoperative CT scan (yes or no) did not affect the revision rate in any combination for any arthroplasty type based on hazard ratio. Conclusion: Preoperative glenoid morphology and preoperative CT scanning does not affect the early rate of revision of stemmed or stemless aTSA and rTSA. Future evaluations of CT scanning in this setting should consider other performance indicators such as patient reported outcome measures.

Indexed as

Glenoid morphologyHazard ratioJoint registryReverse total shoulder arthroplastyRevisionShoulder arthroplastyStemmed and stemlessTotal shoulder arthroplasty

Identifiers

PMID40486774
PMCPMC12145053

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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.