Nomogram model for predicting the long-term prognosis of cervical cancer patients: a population-based study in Mato Grosso, Brazil

The developed nomogram predicts OS for CC patients at 1, 3, 5, and 10 years, showing good concordance with the observed survival rates and serving as a useful tool for guiding personalized interventions. Notably, disease staging and histopathological type were the most significant prognostic factors for OS.

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Publication Details

Journal
BMC Cancer
Published
2025-04-14
DOI
https://doi.org/10.1186/s12885-025-14056-5
Citations
1
Primary Topic
Cervical Cancer and HPV Research
Type
article
Field-Weighted Citation Impact
1.35

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article

Nomogram model for predicting the long-term prognosis of cervical cancer patients: a population-based study in Mato Grosso, Brazil

Sancho Pedro Xavier, Marco Aurélio Bertúlio das Neves, Noemi Dreyer Galvão, Kátia Moreira da Silva et al.
1 citations
BMC Cancer
Cervical Cancer and HPV Research
1.35
article

Nomogram model for predicting the long-term prognosis of cervical cancer patients: a population-based study in Mato Grosso, Brazil

Sancho Pedro Xavier, Marco Aurélio Bertúlio das Neves, Noemi Dreyer Galvão, Kátia Moreira da Silva, Ageo Mário Cândido da Silva, Adila de Queiroz Neves Almeida
article en
1 citations

Abstract

The developed nomogram predicts OS for CC patients at 1, 3, 5, and 10 years, showing good concordance with the observed survival rates and serving as a useful tool for guiding personalized interventions. Notably, disease staging and histopathological type were the most significant prognostic factors for OS.

BMC CancerVol. 25(1)
Universidade Federal de Mato Grosso (BR), Fundação de Amparo à Pesquisa do Estado de Mato Grosso (BR)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Gender equality
Openalex Percentile: Top 21%
Cervical Cancer and HPV Research
1.35
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