Abstract B033: A Comparative Study of Cervical Cancer Treatment Outcomes Between Reproductive-Aged and Post-Menopausal Women in a Tertiary Hospital in Bangladesh.
Notice bibliographique
Résumé
Abstract Background: Cervical cancer is the second most prevalent cancer among females, following breast cancer, accounting for 13.3% of cases, whereas breast cancer accounts for 18% (WHO, 2022, version 11). The mortality rate of cervical cancer is around 5%, with post-menopausal patients being the most frequently affected group. Older patients tend to present at more advanced stages of the disease, leading to poorer treatment outcomes compared to those in the reproductive age group. This study aims to compare the treatment outcomes between reproductive-aged women and post-menopausal women. Methodology: Data were collected from Chittagong Health Point Hospital Ltd in Bangladesh, spanning from September 2019 to May 2023, focusing on cervical cancer treatment outcomes, including hysterectomy followed by chemotherapy and radiotherapy, with follow-ups at 3- and 6-months post-treatment. Results: A total of 35 patient records were analyzed. Of these, 15 (42.85%) were under 45 years old (reproductive age group), and 20 (57.15%) were over 50 years old (post-menopausal group). Most younger patients (73.33%) were diagnosed at an early stage (1A-1B1), while 4 out of 15 (26.66%) were diagnosed at a locally advanced stage (1B2-4A). After treatment, 93.33% of the younger patients showed positive prognoses. At the 3-month follow-up, two patients (13.33%) were found to have stage 1 cancer and underwent further chemotherapy and radiotherapy, achieving remission by the 6-month follow-up. One patient (6.67%) passed away during treatment. Among post-menopausal women, 65% (13 out of 20) were diagnosed at a locally advanced stage, with only 7 patients (53.85%) fully recovering by the 6-month follow-up. Four patients (20%) presented with advanced stage (4B) cancer and showed poor outcomes. Only three patients (15%) were diagnosed at an early stage, with relatively better prognoses. Notably, 35% (7 out of 20) refused to continue treatment, and 3 patients (15%) died during their treatment. Conclusion: The data indicate that younger patients are more likely to be diagnosed early, resulting in significantly better prognoses compared to their older counterparts. Citation Format: Farzana Sultana. A Comparative Study of Cervical Cancer Treatment Outcomes Between Reproductive-Aged and Post-Menopausal Women in a Tertiary Hospital in Bangladesh. [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: The Rise in Early-Onset Cancers—Knowledge Gaps and Research Opportunities; 2025 Dec 10-13; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2025;31(23_Suppl):Abstract nr B033.
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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 | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 ».