ArticleInternational orthopaedics2026
Letter to the editor on "Assessing glenoid orientation on the axillary view: a novel technique using the posterolateral acromion-to-coracoid line".
Article in International orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This letter provides a critical commentary on the recent article by Hachadorian et al. entitled "Assessing glenoid orientation on the axillary view: a novel technique using the posterolateral acromion-to-coracoid line." The authors introduced the posterolateral acromion-to-coracoid (PLAC) line as a reproducible reference for assessing glenoid version on axillary radiographs, demonstrating excellent reliability and strong correlation with 3D CT measurements. We highlight the clinical significance of this technique as a cost-effective and radiation-sparing alternative for postoperative evaluation of glenoid orientation. Furthermore, we suggest extending validation to postoperative cases, quantifying projection-related errors, and exploring AI-assisted automation for landmark detection. This work represents a valuable step toward standardized radiographic assessment following shoulder arthroplasty.
Indexed as
Identifiers
41212192What OpenQuestion holds
Registered trials
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.