Risk factor analysis and construction of prediction models of gallbladder carcinoma in patients with gallstones.

clinical prediction model gallbladder neoplasms logistic (logit) regression nomogram risk factors

Journal

Frontiers in oncology
ISSN: 2234-943X
Titre abrégé: Front Oncol
Pays: Switzerland
ID NLM: 101568867

Informations de publication

Date de publication:
2023
Historique:
received: 06 09 2022
accepted: 13 02 2023
entrez: 16 3 2023
pubmed: 17 3 2023
medline: 17 3 2023
Statut: epublish

Résumé

Gallbladder carcinoma (GBC) is a biliary tract tumor with a high mortality rate. The objectives of this study were to explore the risk factors of GBC in patients with gallstones and to establish effective screening indicators. A total of 588 patients from medical centers in two different regions of China were included in this study and defined as the internal test samples and the external validation samples, respectively. We retrospectively reviewed the differences in clinicopathologic data of the internal test samples to find the independent risk factors that affect the occurrence of GBC. Then, we constructed three different combined predictive factors (CPFs) through the weighting method, integral system, and nomogram, respectively, and named them CPF-A, CPF-B, and CPF-C sequentially. Furthermore, we evaluated these indicators through calibration and DCA curves. The ROC curve was used to analyze their diagnostic efficiency. Finally, their diagnostic capabilities were validated in the external validation samples. In the internal test samples, the results showed that five factors, namely, age (RR = 3.077, 95% CI: 1.731-5.496), size of gallstones (RR = 13.732, 95% CI: 5.937-31.762), course of gallstones (RR = 2.438, 95% CI: 1.350-4.403), CEA (RR = 9.464, 95% CI: 3.394-26.392), and CA199 (RR = 9.605, 95% CI: 4.512-20.446), were independent risk factors for GBC in patients with gallstones. Then, we established three predictive indicators: CPF-A, CPF-B, and CPF-C. These models were further validated using bootstrapping with 1,000 repetitions. Calibration and decision curve analysis showed that the three models fit well. Meanwhile, multivariate analysis showed that CPF-B and CPF-C were independent risk factors for GBC in patients with gallstones. In addition, the validation results of the external validation samples are essentially consistent with the internal test samples. Age (≤58.5

Sections du résumé

Background UNASSIGNED
Gallbladder carcinoma (GBC) is a biliary tract tumor with a high mortality rate. The objectives of this study were to explore the risk factors of GBC in patients with gallstones and to establish effective screening indicators.
Methods UNASSIGNED
A total of 588 patients from medical centers in two different regions of China were included in this study and defined as the internal test samples and the external validation samples, respectively. We retrospectively reviewed the differences in clinicopathologic data of the internal test samples to find the independent risk factors that affect the occurrence of GBC. Then, we constructed three different combined predictive factors (CPFs) through the weighting method, integral system, and nomogram, respectively, and named them CPF-A, CPF-B, and CPF-C sequentially. Furthermore, we evaluated these indicators through calibration and DCA curves. The ROC curve was used to analyze their diagnostic efficiency. Finally, their diagnostic capabilities were validated in the external validation samples.
Results UNASSIGNED
In the internal test samples, the results showed that five factors, namely, age (RR = 3.077, 95% CI: 1.731-5.496), size of gallstones (RR = 13.732, 95% CI: 5.937-31.762), course of gallstones (RR = 2.438, 95% CI: 1.350-4.403), CEA (RR = 9.464, 95% CI: 3.394-26.392), and CA199 (RR = 9.605, 95% CI: 4.512-20.446), were independent risk factors for GBC in patients with gallstones. Then, we established three predictive indicators: CPF-A, CPF-B, and CPF-C. These models were further validated using bootstrapping with 1,000 repetitions. Calibration and decision curve analysis showed that the three models fit well. Meanwhile, multivariate analysis showed that CPF-B and CPF-C were independent risk factors for GBC in patients with gallstones. In addition, the validation results of the external validation samples are essentially consistent with the internal test samples.
Conclusion UNASSIGNED
Age (≤58.5

Identifiants

pubmed: 36923422
doi: 10.3389/fonc.2023.1037194
pmc: PMC10009222
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1037194

Informations de copyright

Copyright © 2023 Zhu, Luo, Zhang, Wang, Guo, Huang and Liu.

Déclaration de conflit d'intérêts

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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Auteurs

Zhencheng Zhu (Z)

Department of Hepatobiliary Surgery, Zhangjiagang City First People's Hospital, Suzhou, China.

Kunlun Luo (K)

Department of Hepatobiliary Surgery, The 904th Hospital of Joint Logistic Support Force of PLA, Wuxi, China.

Bo Zhang (B)

Department of Hepatobiliary Surgery, Zhangjiagang City First People's Hospital, Suzhou, China.

Gang Wang (G)

Department of Hepatobiliary Surgery, Zhangjiagang City First People's Hospital, Suzhou, China.

Ke Guo (K)

Department of Hepatobiliary Surgery, Zhangjiagang City First People's Hospital, Suzhou, China.

Pin Huang (P)

Department of Hepatobiliary Surgery, Zhangjiagang City First People's Hospital, Suzhou, China.

Qiuhua Liu (Q)

Department of Hepatobiliary Surgery, Zhangjiagang City First People's Hospital, Suzhou, China.

Classifications MeSH