Do Arthroscopic and Open Stabilization Techniques Restore Equivalent Stability to the Shoulder in the Setting of Anterior Glenohumeral Instability? A Systematic Review of Overlapping Meta‐analyses
Bibliographic record
Abstract
PURPOSE: Shoulder instability frequently recurs in young patients without operative treatment. Both open and arthroscopic approaches to shoulder stabilization with labral repair and capsulorrhaphy have been described and are routinely used. Multiple trials have been conducted to compare these approaches, with multiple meta-analyses performed to synthesize these trials; however, the results remain controversial. The purpose of this study was to critically evaluate the current meta-analyses to identify the current state of the art. METHODS: In this study we evaluate available scientific support for the ability of both arthroscopic and open soft-tissue stabilization techniques to restore stability of the shoulder by performing a systematic review of the literature for previous meta-analyses. Data were extracted for rates of recurrence and patient outcomes. Study quality was measured with the Oxman-Guyatt and QUOROM (Quality of Reporting of Meta-analyses) systems. The Jadad algorithm was applied independently by 4 authors to determine which meta-analysis provided the highest level of available evidence. RESULTS: After application of the inclusion and exclusion criteria, 8 meta-analyses were included. Both studies published prior to 2007 concluded that open stabilization provided lower recurrence rates than arthroscopic stabilization, the 3 studies published in 2007 are discordant, and all 3 studies published after 2008 concluded that open and arthroscopic stabilization provided equivalent results. Two meta-analyses had low Oxman-Guyatt scores (<3) signifying major flaws. Four authors independently selected the same meta-analysis as providing the highest quality of evidence using the Jadad algorithm, and this meta-analysis found no difference in recurrence rates between open and arthroscopic stabilization. CONCLUSIONS: This systematic review of overlapping meta-analyses comparing arthroscopic and open shoulder stabilization suggests that according to current best available evidence, there are no significant differences in failure rates. LEVEL OF EVIDENCE: Level IV, systematic review of Level I through IV studies.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.023 | 0.050 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.040 |
| Bibliometrics | 0.009 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".