Poster 128: Time to Achievement of Clinically Significant Outcomes Following Open Latarjet
Notice bibliographique
Résumé
Objective: To comprehensively define the time required to achieve outcomes (CSOs) after open Latarjet. The primary outcome was to identify an evidence-based timepoint for functional recovery, including the time needed to attain minimally clinically important difference (MCID) and patient acceptable symptomatic state (PASS) for open Latarjet. Methods: Patients who underwent open Latarjet between 2016 and 2022 were collected. Those with completed preoperative and at least 1 post-operative (3-month, 6-month, 1 year, and 2 years) Patient-Reported Outcome Measures (PROMs), including American Shoulder and Elbow Surgeons (ASES), Single Assessment Numeric Evaluation (SANE), or Western Ontario Shoulder Instability (WOSI) were included. Exclusion criteria included patients with significant concomitant procedures, or prior ipsilateral Latarjet procedure. MCID and PASS for each PROM were identified from prior literature and utilized as a threshold needed to attain functional recovery. The time needed to achieve CSO was then calculated and plotted using Kaplan-Meier survival analysis. Hazard ratios from multivariate Cox regression identified demographic and intraoperative factors predictive of the delayed time required to achieve MCID and PASS. Results: The average patient was 27 years old, male (85%), and white (87%). The majority of patients (62%) had prior ipsilateral arthroscopic instability repair, which had either failed to resolve subluxation symptoms or was successful for an extended period of time, until the patient suffered subsequent acute trauma. Of the 79 included patients, 69 patients had completed SANE forms, and 43 had completed WOSI forms. Patients attained SANE achievement rates of 68% for MCID and 49% for PASS, and WOSI achievement rates of 83.7% for MCID and 55.8% for PASS. Median achievement time across all surveys (SANE, WOSI, and ASES) ranged between 5.0-5.7 months for MCID, and between 5.2–5.9 months for PASS. Averages for achievement time for MCID ranged from 5.8–7.7 months, and for PASS from 6.4–8.2 months, in respective PRO surveys. Multivariate Cox regression identified workers’ compensation status, AC joint tenderness, and 3 prior shoulder dislocations as predictors of early clinically significant outcome achievement (hazard ratio: 3.20-43.2), whereas severe bone loss, higher preoperative scores, and root and flap tears predicted delays in clinically significant outcome achievement (hazard ratio: 0.17-0.82). Conclusions: The majority of patients (57.5%) undergoing open Latarjet achieved benefit within 6 months of surgery (overall median: 5.5 months; overall average: 7.4 months), with diminishing proportions at later timepoints. Several patient conditions that could be used as proxies for severity at presentation (bone loss, 2+ AC joint tenderness, and several dislocation events) illustrated improved time to CSO, specifically for MCID, but not for PASS. The timeline for achieving improvement that was established by this study may aid in setting patient expectations and designing future outcome studies involving open Latarjet.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,007 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».