Contribution of preoperative and acute postoperative pain on the onset and intensity of chronic pain at three months following breast cancer surgery: A prospective cohort study
Notice bibliographique
Résumé
Aim: The overall aim of this 3-month prospective cohort study was to determine the contribution of preoperative and acute postoperative pain on the onset and intensity of CPBCS following surgery, regardless of painful comorbidities, age, psychological factors, type of cancer, and breast cancer treatment. We also determined the contribution of preoperative pain on the onset and intensity of acute postoperative pain before transitioning into CPBCS.Methods: One hundred and sixty-two female participants, scheduled to undergo their first breast cancer surgery were recruited from the Jewish General Hospital, Montreal, Quebec. Data on preoperative pain and covariates, such as age, psychological factors, painful comorbidities, type of cancer and tumour size were collected before surgery. Telephone follow-up interviews were conducted at seven days and three months after surgery to assess acute pain and CPBCS, respectively, using a brief pain inventory scale. Intra and postoperative data on covariates such as the type of surgery, axillary status, infiltration, duration of surgery, radiotherapy, and chemotherapy were assessed from physicians' chart (Chart Maxx). Multivariable logistic and linear regression analyses were performed to determine the contribution of preoperative and acute postoperative pain on CPBCS risk and intensity, regardless of pre, intra, and postoperative covariates. In addition, the same analyses, as previously described, were performed to assess the contribution of preoperative pain on the onset and intensity of acute postoperative pain at seven days following surgery. Results: One hundred and thirty-eight participants completed the three months follow-up. The principal findings in the multivariable analysis showed that acute postoperative pain was positively associated with CPBCS risk (OR = 2.59, P< 0.05) and CPBCS intensity (β = 9.13, P< 0.05), adjusted for other covariates. In addition, preoperative pain intensity at baseline was related to acute pain risk (OR = 1.31, P< 0.05) and intensity (β = 5.47, P< 0.05), adjusted for other covariates. Predictors, such as depression and ALND, were positively related to the onset of CPBCS, whereas adjunctive therapies and depression were associated with CPBCS intensity. Moreover, young age, duration of surgery, invasiveness of cancer and surgery were positively related to the risk of acute pain at seven days following surgery. Conclusion: These results demonstrated that pre operative pain contributes to acute pain risk and severity, but not to CPBCS. Further, acute postoperative pain contributes to CPBCS risk and its intensity at three months following surgery. Such knowledge may result in designing more efficient and early interventions to prevent CPBCS.
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 | 0,001 | 0,002 |
| 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 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
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.
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 ».