ArticleThe Journal of international medical research2024
High-energy injuries, combined ligamentous injuries, and joint incongruity as predictors of postoperative shoulder dysfunction in AC joint dislocation surgery.
Article in The Journal of international medical research, 2024. 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
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo identify risk factors associated with postoperative shoulder joint dysfunction in patients who underwent surgical intervention for acromioclavicular (AC) joint dislocation, with the aim of enhancing preoperative counselling, surgical planning, and postoperative management to optimize functional outcomes.
methodsPatients who underwent surgery for AC joint dislocation between January 2018 and January 2023 at a hospital orthopaedic centre were enrolled into this retrospective study. Inclusion criteria were patients aged ≥18 years with a documented AC joint dislocation who underwent surgical treatment and had a minimum follow-up period >1 year. Patients with pre-existing shoulder conditions, prior shoulder surgeries, or incomplete medical records were excluded. Visual Analog Scale pain score ≥5 and Constant-Murley Score ≤70 was considered indicative of shoulder joint dysfunction. Statistical analyses included univariate and multivariate logistic regression to identify independent risk factors for postoperative shoulder joint dysfunction.
resultsAmong 208 included patients, 56 (27%) exhibited shoulder joint dysfunction at the final follow-up. High-energy injury mechanisms, combined coracoclavicular ligament injuries, and lack of coronal plane congruity were identified as significant predictors of postoperative dysfunction. Specifically, high-energy injuries (odds ratio [OR] 5.493, 95% confidence interval [CI] 2.068, 14.590), combined coracoclavicular ligament injuries (OR 0.118, 95% CI 0.032, 0.432), and lack of coronal plane congruity (OR 2.540, 95% CI 1.197, 5.387) were associated with an increased risk of poor shoulder function postoperatively. Other factors, such as age, injury mechanism, and postoperative exercise compliance also contributed to the outcomes. Level of evidence: iv.
conclusionsInjury mechanism, ligamentous injuries, and joint congruity are important in determining postoperative shoulder function. Accurate joint reduction and diligent postoperative rehabilitation are crucial for optimal recovery. These findings provide valuable insights for improving patient care and surgical outcomes in AC joint dislocation treatment. Further research is needed to validate these findings and explore additional factors that may influence postoperative shoulder function.
Indexed as
Identifiers
What 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.