Evidence map›Paper›PMID 40343255›Full record

ArticleRevista panamericana de salud publica = Pan American journal of public health2025

[Mortality coding with ICD-11 in Chile: main results and prospects for implementationCodificação da mortalidade com a CID-11 no Chile: principais resultados e perspectivas de implementação].

Paulina Vera Montecinos, Jorge Pacheco, Sergio Guinez-Molinos, Daily Piedra, Lorena Velozo, Andrés Fuentes, Marcela Carmona, Alejandra Landabur, Pamela Suárez, Paulina Leighton

Abstract readEnglish Abstract
In one paragraph

Article in Revista panamericana de salud publica = Pan American journal of public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. [ICDRevista panamericana de salud publica = Pan American journal of public health · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Paulina Vera MontecinosServicio de Salud del Maule Talca Chile Servicio de Salud del Maule, Talca, Chile.
Jorge PachecoDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Sergio Guinez-MolinosLaboratorio de Simulación e Informática Biomédica Facultad de Medicina Universidad de Talca Talca Chile Laboratorio de Simulación e Informática Biomédica, Facultad de Medicina, Universidad de Talca, Talca, Chile.
Daily PiedraDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Lorena VelozoDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Andrés FuentesDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Marcela CarmonaDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Alejandra LandaburDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Pamela SuárezDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.
Paulina LeightonDepartamento de Estadísticas e Información de Salud División de Planificación Sanitaria Subsecretaría de Salud Pública, Ministerio de Salud Santiago Chile Departamento de Estadísticas e Información de Salud, División de Planificación Sanitaria, Subsecretaría de Salud Pública, Ministerio de Salud, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the usability of the International Classification of Diseases, 11th Revision (ICD-11) and its concordance and comparability with ICD-10, the version in use. ICD-11 introduces greater granularity than ICD-10, is designed for digital environments, and offers improvements over the previous version. Methods: Two thousand medical death certificates for year 2020 were selected by proportional stratified sampling. Two expert coders and a gold standard team coded the records using the official ICD-11 tool. Concordance between gold standard and expert coders was assessed for immediate, underlying, and principal cause of death. Distribution by chapter was compared for ICD-11, ICD-10 in the original database, and ICD-10 mapped from ICD-11. Results: Concordance with clinical accuracy ranged from 37% for principal cause of death to 76% for immediate cause. Agreement on base codes ranged from 73% for principal cause to 86% for immediate and underlying causes. Cohen's kappa for principal cause was 0.68 (95% CI: 0.64 - 0.72) for coder 1 and 0.76 (95%CI: 0.73 - 0.80) for coder 2, which is considered significant concordance. The distribution of principal cause for ICD-10 and for ICD-10 mapped from ICD-11 was similar. Conclusions: There is adequate concordance and comparability between ICD-11 and ICD-10. The tool has high usability, which confirms the feasibility of ICD-11 implementation in Chile, and underlines the need for continuous training and technological improvement.

Indexed as

ChileICD-11International Classification of Diseasesmortality

Identifiers

PMID40343255
PMCPMC12060799

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.