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Dataset Information

Time to death from cervical cancer and its predictors in hospitalized patients: a survival approach study in Mato Grosso, Brazil.


ABSTRACT:

Background

Cervical cancer (CC) is a serious public health concern, being the fourth most common cancer among women and a leading cause of cancer mortality. In Brazil, many women are diagnosed late, and in Mato Grosso, with its geographical diversity, there are specific challenges. This study analyzed hospital survival and its predictors using data from the Hospital Information System (SIH) of the Unified Health System (SUS) in Mato Grosso from 2011 to 2023.

Methods

Cox regression and Kaplan-Meier models were applied to determine survival time and identify mortality predictors. The adjusted Hazard Ratio (AHR) with a 95% Confidence Interval (CI) was used to measure the association between the factors analyzed.

Results

The hospital mortality rate was 9.88%. The median d

SUBMITTER: Xavier SP 

PROVIDER: S-EPMC11463162 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature