Complementary and alternative medicine (CAM) use in advanced cancer: a systematic review
Notice bibliographique
Résumé
This systematic review synthesizes knowledge about the use of complementary and alternative medicine (CAM) among advanced cancer patients.EBSCO and Ovid databases were searched using core concepts, including advanced cancer, CAM, integrative medicine, and decision-making.Articles included in the final review were analyzed using narrative synthesis methods, including thematic analysis, concept mapping, and critical reflection on the synthesis process.Results demonstrate that advanced cancer patients who are younger, female, more educated, have longer duration of disease, and have previously used CAM are more likely to use CAM during this stage of illness.Key themes identified include patterns of and reasons for use; and barriers and facilitators to informed CAM decision-making.Knowledge regarding the use of CAM in advanced cancer remains in its nascent stages.Findings suggest a need for more research on understanding the dynamic process of CAM decision-making in the advanced cancer population from the patients' perspective.U p to 93.1% of people report using some form of complementary and alternative medicine (CAM) during their cancer experience.Although the use of CAM in the general cancer population has been well documented over the past two decades, 8,13,21,[34][35][36][37][38][39][40][41][42][43][44][45][46][47][48][49][50][51] a comprehensive review regarding the use of CAM in the advanced cancer population has not been published.The diagnosis of advanced cancer represents a shift in the focus of treatment and care from cure to palliation.52 Advancedcancer patients have reported increased levels of distress and symptom burden with poorer quality of life compared to those with curative or early stage disease.53,54 A growing body of research has identified increased prevalence of CAM use in the advanced-cancer population to address these issues and achieve other personal aims.11,12,15,18,21,23,24,27,28,[32][33][34]45,46,[55][56][57][58] Despite advanced stage disease being identified as one of the most common factors predicting CAM use, 11,13,15,21,28,45,49,[56][57][58] few studies have examined the unique needs and specific behaviors related to CAM use in this population.Given the complexity in caring for people with advanced cancer and a goal to provide evidence-informed CAM decision support, understanding the unique CAMrelated needs of this population will be valuable to oncology health care providers (HCPs).In this review, we seek to describe the factors, reasons, and decision-making process used by advanced-cancer patients to use CAM.CAM is defined as a group of diverse medical and health care systems, practices, and products that are not presently considered part of conventional medicine.59 CAM therapies are grouped into 5 categories: body based (eg, chiropractic,
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 | 0,010 | 0,048 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,006 | 0,005 |
| Bibliométrie | 0,010 | 0,013 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».