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Enregistrement W4408149437 · doi:10.1097/corr.0000000000003425

Can Surgeons or Patients Predict the Likelihood of Improvement With Nonoperative Treatment of Chronic Tennis Elbow?

2025· article· en· W4408149437 sur OpenAlexaff
Teemu Karjalainen, Toni Luokkala, Tuomas Lähdeoja, Mikko Salmela, Clare L. Ardern, Venla-Linnea Karjalainen, Simo Taimela, Teppo L. N. Järvinen

Notice bibliographique

RevueClinical Orthopaedics and Related Research · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueTendon Structure and Treatment
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineElbowObservational studyTennis elbowSurgeryPhysical therapyOrthopedic surgeryCohortGeneral surgeryInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Persisting symptoms after an attempt of nonoperative treatment represents one of the most common indications for surgery in many musculoskeletal conditions, such as tennis elbow. The rationale behind the practice of resorting to surgery in individuals with long-standing symptoms is that resolution of symptoms is believed to be unlikely without surgery after a certain period, and surgeons can identify a subgroup to benefit from surgery. For this approach to be sound, surgeons must be able to reliably distinguish between patients unlikely to improve without surgery and those who are likely to benefit from it. QUESTIONS/PURPOSES: (1) Do patients with persistent tennis elbow symptoms (lasting > 10 months) who are referred to a surgeon improve without surgery over a 24-month follow-up period? (2) Are surgeons' or patients' predictions about improvement associated with actual improvement? (3) What patient characteristics, if any, are associated with predictions of improvement made by either surgeons or patients? METHODS: Between 2016 and 2018, we prospectively recruited 97 patients with persistent tennis elbow symptoms (> 10 months) who were dissatisfied with nonsurgical treatment and referred for surgical consultation at five secondary or tertiary public hospitals. Of these, 89% (86 of 97) agreed to continued nonoperative treatment and were included in this observational cohort study. To evaluate the outcomes of continued nonoperative treatment, we measured the Oxford Elbow Score (OES) and global improvement at 6 weeks and at 3, 6, 12, and 24 months. To assess whether either the surgeons or the patients could predict the likelihood of symptom improvement, we asked both parties at baseline to predict whether each patient would be satisfied with their symptom state without surgery within the next 6 months. We then evaluated the prognostic value of these predictions by comparing the OES and global improvement scores between (1) patients who believed that they would improve versus patients who did not and (2) patients whom the surgeons predicted would improve versus those whom the surgeons predicted would not. To explore factors that might explain the predictions, we assessed the correlation between the predictions and baseline characteristics, including age, sex, affected side, smoking status, duration of symptoms, disability (OES score), Pain Catastrophizing Scale score, prior corticosteroid injections, and any planned injection treatments. Data from patients who underwent surgery during the follow-up period were included only up to the time of surgery. The mean ± SD age of the patients was 49 ± 5.4 years, and prior to the initial consultation, they had had symptoms for a mean ± SD of 20 ± 12 months. One-half of the patients were female. RESULTS: Nine percent (8 of 86) of patients eventually underwent operation during the 2-year follow-up period. The mean total OES of the cohort (range 0 to 100, with higher scores indicating better outcomes) increased from approximately 50 points at baseline to 80 points at the final 24-month follow-up visit. Surgeons' predictions about likelihood of improvement were not associated with the observed improvement, while patients who were more pessimistic about their likelihood of recovery at baseline had slightly inferior outcomes compared with patients who were more optimistic about their likelihood of recovery. As for factors associated with patients' predictions of recovery, both patients who had previously received corticosteroid injections (relative risk [RR] 1.4 [95% confidence interval (CI) 1.1 to 1.7]; p = 0.03) and those scheduled to receive botulinum toxin or platelet-rich plasma injections (RR 3.8 [95% CI 2.0 to 7.3]; p < 0.001) were more likely to predict improvement compared with those who opted to wait and see. Surgeons' predictions about the recovery were not associated with any of the measured patient characteristics, indicating that the predictions were based on heuristics, that is, mental shortcuts or rules of thumb that clinicians commonly use in clinical decision-making. CONCLUSION: Our findings suggest that persistent tennis elbow symptoms are a poor indication for surgery, as the majority of patients experience symptom resolution without it, and surgeons are unable to reliably predict who will or will not improve with nonoperative treatment. Therefore, treatment decisions should not be based on the clinician's perception of the disease course. Patients' predictions, especially more pessimistic views, were found to more accurately reflect the likely recovery trajectory. Finally, despite evidence demonstrating the ineffectiveness of injections, they elevated patients' expectations for improvement. LEVEL OF EVIDENCE: Level II, therapeutic study.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,263
Score d'incertitude au seuil0,356

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,037
Tête enseignante GPT0,394
Écart entre enseignants0,357 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2025
Routes d'admission1
Résumé présentoui

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