Cochrane in CORR ®: Joint Lavage for Osteoarthritis of the Knee
Notice bibliographique
Résumé
Importance of the Topic Osteoarthritis of the knee is a progressive and debilitating condition that affects more than 9.2 million individuals in the United States [4]. The socioeconomic impact of this condition is substantial as well, resulting in billions of dollars in health-related expenditures and indirect economic losses [2, 3, 5]. Management options for knee osteoarthritis range from nonsurgical (or “conservative”) measures such as physiotherapy and pharmacologic therapy, to surgical interventions such as joint lavage, arthroscopic débridement, and ultimately partial or TKA. Ensuring that interventions offered to patients are evidence-based is an important strategy to help direct finite healthcare resources only towards those interventions that are effective. Joint lavage used alone, either with or without arthroscopy (and without débridement), has been proposed as a possible temporizing intervention, which may improve pain and function in the short-term and delay knee arthroplasty. Theoretically, joint lavage may “wash out” microscopic and macroscopic intraarticular debris, as well as inflammatory cytokines, all of which potentially contribute to synovitis and pain [1, 6, 8]. Whether there is high quality evidence to support this theoretical benefit was the subject of this systematic review [7]. Upon Closer Inspection Reichenbach and colleagues [7] performed a thorough and rigorous systematic review of both randomized and quasi-randomized trials gathered from multiple databases and manual searches of both published and unpublished studies. However, the results should be interpreted with an understanding of the methodological limitations of included trials. Among the seven included trials, there was substantial variability in the types and characteristics of both interventions and controls. Allocation sequence generation was appropriate in only two of the seven included trials, and allocation was adequately concealed in only three studies. Only two studies analyzed data using the intention-to-treat principle. Outcome data showed no overall benefit to treatment, although there was a high degree of heterogeneity among trials. Therefore, these trials likely overestimated any actual treatment effect. Researchers found no improvements in pain at 1 year or function at 3 months or 1 year. Among the three trials that reported function at 1 year, a possible treatment benefit was suggested by the homogeneity of the results; however, the effect sizes were very small and likely not clinically important. Take-Home Messages Overall, there is no conclusive evidence that joint lavage improves either pain or function at 3 months or 1 year for osteoarthritis of the knee. Available clinical trials are small in size, few in number, poor in quality, and heterogeneous in methodology and outcomes. If strong clinical equipoise continues to exist among orthopaedic surgeons, large randomized controlled trials with rigorous methodology, including reasonable attempts at blinding, will be necessary. Owing to the lack of benefit demonstrated in this systematic review of available trials, alongside a lack of strong clinical equipoise, joint lavage alone is not recommended as a routine intervention in the management of osteoarthritis of the knee.
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 | 0,005 | 0,030 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,005 |
| Bibliométrie | 0,010 | 0,008 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,005 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,003 | 0,004 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,071 | 0,008 |
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 ».