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Development of a nomogram to predict survival in advanced biliary tract cancer

Authors :
Hiroshi Imaoka
Masafumi Ikeda
Shogo Nomura
Chigusa Morizane
Takuji Okusaka
Masato Ozaka
Satoshi Shimizu
Kentaro Yamazaki
Naohiro Okano
Kazuya Sugimori
Hirofumi Shirakawa
Nobumasa Mizuno
Sohei Satoi
Hironori Yamaguchi
Rie Sugimoto
Kunihito Gotoh
Keji Sano
Akinori Asagi
Kazuyoshi Nakamura
Makoto Ueno
Source :
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Publication Year :
2023
Publisher :
Nature Portfolio, 2023.

Abstract

Abstract The prognosis of advanced biliary tract cancer (BTC) patients remains poor due to limited efficacy of chemotherapy and difficulties in management. Thus, prediction of survival is crucial for the clinical management of advanced BTC. The aim was to develop and validate a nomogram to predict 6-month and 12-month survival in advanced BTC patients treated with chemotherapy. A multivariable Cox regression model was used to construct a nomogram in a training set (JCOG1113, a phase III trial comparing gemcitabine plus S-1 [GS] and gemcitabine plus cisplatin, n = 351). External validity of the nomogram was assessed using a test set (JCOG0805, a randomized, phase II trial comparing GS and S-1 alone, n = 100). Predictive performance was assessed in terms of discrimination and calibration. The constructed nomogram included lymph node metastasis, liver metastasis, carbohydrate antigen 19-9, carcinoembryonic antigen, albumin, and C-reactive protein. Uno’s concordance index was 0.661 (95% confidence interval [CI] 0.629–0.696) in the training set and 0.640 (95% CI 0.566–0.715) in the test set. The calibration plots for 6-month and 12-month survival showed good agreement in the two analysis sets. The present nomogram can facilitate prediction of the prognosis of advanced BTC patients treated with chemotherapy and help clinicians’ prognosis-based decision-making.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.3baf138902d49fc89d0cce9781a3f2f
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-023-48889-6