Global Consultation on Cancer Staging (GCCS): An International Survey Evaluating the Understanding and Use of the Cancer Stage Classification Terminology
Notice bibliographique
Résumé
Background: The UICC TNM classification of malignant tumors is an internationally agreed standard to describe and categorizes cancer stage. It allows for collecting both clinical and pathologic TNM information where available. However, complex changes have emerged, such as an explosive growth in knowledge about cancer in particular regarding other prognostic factors for outcome resulting in confusion regarding the uniform taxonomy of cancer stage around the globe. Aim: To evaluate the understanding and use of the cancer stage classification terminology. Methods: The GCCS Staging Working Group (under the UICC TNM Committee) designed a survey to appreciate the current status quo in understanding and application of TNM classification terminology on cancer within common users of TNM classification. An online survey was developed and piloted within 10 TNM users. The survey was refined for clarification of language and content. The finalized survey was sent to common TNM users across the world. The survey comprised 35 question using Likert Scale on 4 critical domains. A reminder was sent after 2 weeks of initial e-mail for online survey. The final responses were summarized using descriptive analysis method. Results: A total of 376 surveys invites were sent and 136 (36.2%) full replies received. From 136 responders, age (half < 56 years old) and gender was balanced. North America and Europe were the most commonly represented regions. About 65% were clinician and 40% reported to work in academic centers. Reporting on the study aims: (1) more than 80% very frequently use TNM information to determine a patient prognosis and/or treatment, (2) 85% state that anatomic disease extent should be reported separately from other factors and only half of the responders believe that use of TNM staging terminology is consistent or uniform. In addition, 81% agree that tumor markers have been shown to provide valid additional impact (in addition to extent of disease) on prognosis. However, the majority (55% overall or 70% if clinicians only) don't believe that an overarching framework for classifying genetic makers is available. Finally, there was no consensus on how anatomic extent of disease and other prognostic factors should be combined. Conclusion: Our results show that majority use TNM information to determine prognosis and treatment and that anatomic extent of disease should remain reported separately. Tumor markers have been shown to provide valid additional impact on prognosis. However, there is no consensus on how anatomic extent of disease and other prognostic factors should be combined. In addition, 50% believe that the application of the TNM staging terminology is not consistent or uniform in the literature.
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 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 | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».