It Is Time to Initiate Another Breast Cancer Screening Trial
Notice bibliographique
Résumé
Ideas and Opinions17 June 2014It Is Time to Initiate Another Breast Cancer Screening TrialPeter Jüni, MD and Marcel Zwahlen, PhDPeter Jüni, MDFrom Institute of Social and Preventive Medicine, University of Bern, Switzerland.Search for more papers by this author and Marcel Zwahlen, PhDFrom Institute of Social and Preventive Medicine, University of Bern, Switzerland.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/M14-0569 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail In 2009, the U.S. Preventive Services Task Force triggered a heated debate by recommending biennial mammography screening for women aged 50 to 74 years and individualized decisions about mammography for younger women based on context and personal preferences (1). The debate calmed somewhat in 2012 when the Independent U.K. Panel on Breast Cancer Screening concluded that, although associated with some overdiagnosis, screening mammography reduced breast cancer mortality (2). Recent reports have refueled controversy, including a technology assessment issued by the Swiss Medical Board that did not recommend mammography screening regardless of age (3) and the 25-year follow-up of the 2 ...References1. U.S. Preventive Services Task Force. Screening for breast cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med. 2009;151:716-26. [PMID: 19920272] LinkGoogle Scholar2. Independent UK Panel on Breast Cancer Screening. The benefits and harms of breast cancer screening: an independent review. Lancet. 2012;380:1778-86. [PMID: 23117178] CrossrefMedlineGoogle Scholar3. Swiss Medical Board. Systematic mammography screening. Zollikon, Switzerland: Swiss Medical Board; 2013. Accessed at www.medical-board.ch/fileadmin/docs/public/mb/Fachberichte/2013-12-15_Bericht_Mammographie_Final_Kurzfassung_e.pdf on 3 February 2014. Google Scholar4. Miller AB, Wall C, Baines CJ, Sun P, To T, Narod SA. Twenty five year follow-up for breast cancer incidence and mortality of the Canadian National Breast Screening Study: randomised screening trial. BMJ. 2014;348:g366. [PMID: 24519768] CrossrefMedlineGoogle Scholar5. Gøtzsche PC, Jørgensen KJ. Screening for breast cancer with mammography. Cochrane Database Syst Rev. 2013;6:CD001877. [PMID: 23737396] MedlineGoogle Scholar6. Jüni P, Altman DG, Egger M. Systematic reviews in health care: Assessing the quality of controlled clinical trials. BMJ. 2001;323:42-6. [PMID: 11440947] CrossrefMedlineGoogle Scholar7. Black WC, Haggstrom DA, Welch HG. All-cause mortality in randomized trials of cancer screening. J Natl Cancer Inst. 2002;94:167-73. [PMID: 11830606] CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAuthors: Peter Jüni, MD; Marcel Zwahlen, PhDAffiliations: From Institute of Social and Preventive Medicine, University of Bern, Switzerland.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M14-0569.Corresponding Author: Peter Jüni, MD, Institute of Social and Preventive Medicine, University of Bern, Finkenhubelweg 11, CH-3012, Bern, Switzerland; e-mail, juni@ispm.unibe.ch.Current Author Addresses: Drs. Jüni and Zwahlen: Institute of Social and Preventive Medicine, University of Bern, Finkenhubelweg 11, CH-3012, Bern, Switzerland.Author Contributions: Conception and design: P. Jüni, M. Zwahlen.Analysis and interpretation of the data: P. Jüni, M. Zwahlen.Drafting of the article: P. Jüni.Critical revision of the article for important intellectual content: P. Jüni, M. Zwahlen.Final approval of the article: P. Jüni, M. Zwahlen.Statistical expertise: P. Jüni, M. Zwahlen.Administrative, technical, or logistic support: P. Jüni.Collection and assembly of data: P. Jüni, M. Zwahlen.This article was published online first at www.annals.org on 8 April 2014. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetails Metrics Cited byPredicting difference in mean survival time from cause-specific hazard ratios for women diagnosed with breast cancerQuality‐of‐life effects of screening mammography in NorwayHow the USPSTF's Mammographic Screening Guidelines Should Be InterpretedOverview of guidelines on breast screening: Why recommendations differ and what to do about itThe Effect of Treatment Advances on the Mortality Results of Breast Cancer Screening Trials: A Microsimulation ModelJeanette Birnbaum, PhD, MPH, Vijayakrishna K. Gadi, MD, PhD, Elan Markowitz, and Ruth Etzioni, PhDBenefits and harms of mammography screeningCorrespondance à propos de l’article « Dépistage du cancer du sein ». Des conclusions… aux actes ! 17 June 2014Volume 160, Issue 12 Page: 864-866 Keywords Breast cancer Breast cancer screening Cancer screening Clinical trial reporting Disclosure Interquartile range Mammography Mortality Preventive medicine Relative risk ePublished: 17 June 2014 Issue Published: 17 June 2014 Copyright & PermissionsCopyright © 2014 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...
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 | 0,051 | 0,146 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,003 | 0,008 |
| Bibliométrie | 0,002 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,011 | 0,008 |
| Science ouverte | 0,004 | 0,003 |
| Intégrité de la recherche | 0,034 | 0,021 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,110 | 0,059 |
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 ».