Eidtorial from Editor-in-Chief (Breast Cancer: Still a Pending Issue where Much Effort is Needed)
Notice bibliographique
Résumé
As Dr Russo and Dr Federico mentioned in their Editorial of this issue, breast cancer is the most common malignant tumor among women with approximately one million new cases per year worldwide. Disparities on the incidence of breast cancer among the rich and poor countries are still not fully understood. As Dr Awadelkarim and colleagues mentioned in their article, breast cancer incidence is lower in middle and low income countries, however, the majority of patients in Sub-Saharan countries present with locally advanced and metastatic disease. This lower incidence means that screening programs aimed at early detection in asymptomatic women would have a lower yield — i.e., substantially more women would need to be examined to find a true case of breast cancer [1]. Because the average age of breast cancer is generally lower in low-and-middle income countries (LMCs), it has been suggested that breast-cancer screening programs begin at an earlier age in these settings. However, the younger average age of breast cancer is mainly driven by the age distribution of the population, and the fact that there are fewer older women with breast cancer, rather than by higher age-specific incidence rates in younger women [1]. The hard work put in by the guest editors of this issue should be commended. They are looking for innovative and early markers of breast cancer which is of great importance particularly with the current controversies surrounding the use of mammography. The Canadian task force recently reported that women under 50 years of age at average risk should not have a mammogram; instead, mammography should be reserved only for women aged between 50 and 74 [2]. According to the Canadian experts, women should not receive clinical breast examinations or perform self-examinations at any age. The recommendations mirror those from the US Preventive Services Taskforce: in women who arent at high risk, dont start routine mammography until age 50, screen only every two to three years, and stop routine clinical breast examination. The fact that both these national task forces have reached the same conclusion should give some confidence in the result, but there is no doubting the controversy. Nor are we dealing with a stationary target: new evidence is emerging all the time [3]. This is a new example of the need to gather new evidence through well-designed and well-performed research, along with the systematic review of the literature and the compilation of this evidence as a crucial methodology in guiding providers and consumers on the best practices, avoiding useless practices and to informing users on the expectations of using procedures and interventions.
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 | 0,003 | 0,028 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,002 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,002 | 0,002 |
| Intégrité de la recherche | 0,007 | 0,008 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,111 | 0,084 |
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 ».