Evidence map›Paper›PMID 41809068›Full record

ReviewJSES reviews, reports, and techniques2026

Demographic and anatomic predictors of glenoid morphology: a systematic review.

Ravi Prakash, Andrea L Aagesen, Nashra Javed, Elizabeth L Yanik, Nitin B Jain

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

5 authors.

Ravi PrakashDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Andrea L AagesenDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.
Nashra JavedDepartment of Physical Medicine and Rehabilitation, University of California, Los Angeles, CA, USA.
Elizabeth L YanikDepartment of Orthopaedic Surgery, Washington University School of Medicine, St. Louis, MO, USA.
Nitin B JainDepartment of Physical Medicine and Rehabilitation, University of Michigan, Ann Arbor, MI, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The glenohumeral (GH) joint displays diverse glenoid morphology or wear patterns that affect joint alignment, stability, and function. These morphological variations are influenced by sex, ethnicity, and height, potentially limiting the effectiveness of standardized prosthetics. While previous studies have linked glenoid shape to shoulder instability and bone loss, the demographic and anatomic predictors for glenoid morphology or specific glenoid wear patterns remain unclear. This review aims to identify key demographic and anatomical predictors of glenoid morphology to inform surgical planning and improve total shoulder arthroplasty outcomes. Methods: We performed a comprehensive literature search of MEDLINE/PubMed, EMBASE, and Web of Science with a search cutoff date of August 2024. We included the studies that addressed demographic and anatomic predictors, such as age, sex, height, hand dominance, laterality, and glenoid morphology. A methodological quality assessment was conducted independently as per standardized set of criteria known as Newcastle-Ottawa Quality Assessment Scale. Results: We retrieved a total of nine studies that reported on demographic and anatomic predictors and glenoid morphology. Seven of these studies were of good quality, while two were of fair quality. Glenoid size was consistently larger in males and positively correlated with age, height, and weight. We also observed that subtype B2 glenoid is linked to increased humeral osteophyte length in primary GH osteoarthritis. Conclusion: Age, male sex, and height are associated with increased glenoid dimensions and version, while subtype B2 glenoid correlates with advanced GH osteoarthritis and bone loss. B2 glenoid present greater surgical challenges requiring individualized approaches. Larger studies are needed to confirm these predictors and explore genetic and molecular links to disease severity.

Indexed as

B2 glenoidGlenohumeral jointGlenohumeral osteoarthritisGlenoid morphologyGlenoid wear patternsTotal shoulder arthroplasty

Identifiers

PMID41809068
PMCPMC12969669

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.