Symptom-Based Predictive Model for Colorectal Cancer Diagnosis: Optimization According to Chilean Public Health Policy Guidelines

The GES policy enabled a CRC detection rate of 13% in this cohort. Predictive models were developed to optimize referrals for colonoscopy and enhance public health policy. The models require validation in an independent cohort to determine their real-world applicability.

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Publication Details

Journal
Revista médica de Chile
Published
2025-03-01
DOI
https://doi.org/10.4067/s0034-98872025000300206
Primary Topic
Colorectal Cancer Screening and Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

Symptom-Based Predictive Model for Colorectal Cancer Diagnosis: Optimization According to Chilean Public Health Policy Guidelines

Juan Alvarado, Cecilio González Benavides
Revista médica de Chile
Colorectal Cancer Screening and Detection
article

Symptom-Based Predictive Model for Colorectal Cancer Diagnosis: Optimization According to Chilean Public Health Policy Guidelines

Juan Alvarado, Cecilio González Benavides
article en

Abstract

The GES policy enabled a CRC detection rate of 13% in this cohort. Predictive models were developed to optimize referrals for colonoscopy and enhance public health policy. The models require validation in an independent cohort to determine their real-world applicability.

Revista médica de ChileVol. 153(3)
Hospital Regional de Concepción (CL)
Good health and well-being
Openalex Percentile: Top 85%
Colorectal Cancer Screening and Detection
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Symptom-Based Predictive Model for Colorectal Cancer Diagnosis: Optimization According to Chilean Public Health Policy Guidelines — Juan Alvarado, Cecilio González Benavides · Revista médica de Chile (2025) | TGRS Research Map | TGRS