Pourquoi ce travail est dans la base
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Notice bibliographique
Résumé
FigureBOSTON—The first session of the Quality Care Symposium, held here last month, was devoted to presentations on overtreatment in cancer care, and the main takeaway is that oncologists recognize overtreatment is rampant but they don't know what to do about it. Lisa Hicks, MD, from St. Michael's Hospital at the University of Ontario, listed several factors that promote overutilization, including a medical culture that says that more tests and treatments are better; defensive medicine; financial incentives to do more; the rapid change in science; a patient culture that every problem can be solved; and direct-to-consumer marketing. The idea behind the American Board of Internal Medicine Foundation's “Choosing Wisely” campaign is to give physicians and patients straightforward ideas about how to avoid inappropriate utilization. So are oncologists using the “Choosing Wisely” advice? Some are, some aren't, according to the results of a study showing that overall adherence to ASCO's initial Top 5 list, issued in 2012, of things that oncologists and their patients should question before proceeding, varied from 51 to 78 percent (Abstract 178). Karma Kreizenbeck, Project Director at Hutchinson Institute for Cancer Outcomes Research at Fred Hutchinson Cancer Research Center, presented the study, which used a database that linked the National Cancer Institute's Surveillance, Epidemiology, and End Results (SEER) records for about 24,000 cancer patients diagnosed in western Washington state between 2007 and 2013 with enrollment and claims data from Premera Blue Cross. The initial Top 5 items were as follows: No anticancer therapy for patients with advanced cancer and poor performance status; No PET, CT, and bone scans in early prostate cancer; No PET, CT, or radionuclide bone scans in early breast cancer; No biomarkers or advanced imaging following breast cancer treated for cure; and No colony-stimulating factors for chemotherapy with less than a 20 percent risk for febrile neutropenia. Kreizenbeck and her colleagues found: 59 percent adherence to the measure “no chemotherapy or radiation for solid tumors in the last two months of life” for patients with advanced disease; 79 percent adherence to the measure “no PET, CT, and bone scans within two months of early prostate cancer diagnosis”; 97 percent adherence to the measure “no PET, CT, and bone scans within two months of early breast cancer” for patients with tumors in situ; 57 percent adherence to the measure “no PET, CT, bone scans, and tumor markers between two and 14 months after curative therapy for early breast cancer” for patients with localized tumors; and 83 percent compliance to the measure “no colony-stimulating factors with 45 days of chemotherapy start for patients with breast, non-small-cell lung cancer and colorectal cancer who have less than a 20 percent risk for febrile neutropenia.”
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.
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,014 |
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 découle