SynthesisThe Iowa orthopaedic journal2025
A Systematic Review Of Learning Curves in Orthopaedic Sports Surgery.
Synthesis in The Iowa orthopaedic journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled 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.
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
4 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Surgeon experience in hip arthroscopy improves operative efficiency and reduces conversion to total hip arthroplasty: A meta-analysis.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Pooled it
- The effect of a learning curve on outcomes of vestibular schwannoma surgery: A systematic review.Neurosurgical review · 2026Pooled it
- Cumulative surgeon volume is associated with improved outcomes following hip arthroscopy: A national registry study.Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA · 2026Article
- Arthroscopic Fixation of Minimally Displaced Avulsion Fracture of Ischial Tuberosity Using a "Double-Pulley" Suture Anchor Technique.Arthroscopy techniques · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: As surgeons enter practice or senior surgeons embark on new procedures, we must weigh the potential risks to our patients. Despite the concept of a "learning curve" gaining traction, there is limited guidance on the specific learning curves within orthopaedic sports medicine. The purpose of this article is to explore the ways in which learning curves are defined within orthopaedic sports medicine and report the number of cases required to overcome them. Methods: Pubmed-MEDLINE, Scopus, and Embase databases were queried for "Learning Curves" pertaining to orthopaedic sports medicine procedures according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis guidelines. Abstracts were reviewed by two independent reviewers for inclusion and subdivided into categories including: Shoulder Arthroscopy and Reconstruction, Shoulder Arthroplasty, Hip Arthroscopy, Knee Arthroscopy and Reconstruction, and Knee Osteotomy. Results: 4,558 articles were reviewed. 14 articles for shoulder arthroscopy and reconstructive procedures, 10 articles for shoulder arthroplasty, 17 articles for hip arthroscopy, 7 articles for knee arthroscopy and reconstructive procedures, and 2 articles for knee osteotomy were ultimately included. The net defined learning curve for each respective surgical sub-category was 22 for shoulder arthroscopy and reconstruction, 28 for shoulder arthroplasty, 71 for hip arthroscopy, 28 for knee arthroscopy and reconstruction, and 32 for knee osteotomy. Conclusion: Surgeons should consider the synthesis of the described learning curves for shoulder, hip, and knee surgery when incorporating these procedures into their practice.
Indexed as
Identifiers
40606710PMC12212312What 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.