Evidence map›Paper›PMID 40182249›Full record

ArticleJSES international2025

Gender bias in glenosphere size selection in reverse total shoulder arthroplasty: Glenoid size correlates with height and weight, not just gender.

Brendan M Patterson, Joseph W Galvin, Maria F Bozoghlian, Natalie Glass, Melissa Wright

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Brendan M PattersonDepartment of Orthopedics & Rehabilitation, University of Iowa, Iowa City, IA, USA.
Joseph W GalvinDepartment of Orthopedics & Rehabilitation, University of Iowa, Iowa City, IA, USA.
Maria F BozoghlianDepartment of Orthopedics & Rehabilitation, University of Iowa, Iowa City, IA, USA.
Natalie GlassDepartment of Orthopedics & Rehabilitation, University of Iowa, Iowa City, IA, USA.
Melissa WrightDepartment of Orthopedic Surgery, Washington University School of Medicine, St. Louis, MO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Optimal glenosphere selection is critical for successful outcomes following reverse total shoulder arthroplasty (rTSA). This study primarily aimed to determine patient-specific variables associated with dimensions of native glenoid anatomy. Secondarily, we aimed to determine the distribution of glenosphere sizes selected in male and female patients with similar-sized glenoids. Methods: Computed tomography scans from patients undergoing rTSA with a diagnosis of cuff arthropathy or irreparable cuff tears were included for analysis. Variables collected included the following: age, gender, height, weight, and glenosphere size. Glenoid dimensions were measured, and interobserver reliability was calculated. Correlation coefficients were calculated for all variables. Multivariate predictive regression models were utilized to determine correlations between patient variables and glenoid width and height. Results: One hundred and eighteen patients (46% male, 54% female) were included for analysis. Taller and male patients were significantly associated with increased glenoid height ( Discussion: Patient gender and height are significantly associated with glenoid height and width. There remains a strong tendency towards gender bias when selecting glenosphere sizes for patients undergoing rTSA with similar-sized glenoids. This data highlights the importance of considering patient height as well as gender when considering glenoid component size in the setting of rTSA.

Indexed as

Gender biasGlenoid anatomyGlenosphereGlenosphere sizePatient characteristicsReverse shoulder arthroplasty

Identifiers

PMID40182249
PMCPMC11962620

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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.