Evidence map›Paper›PMID 38765855›Full record

ArticleBiomedical reports2024

Time‑dependent ROC curve analysis to determine the predictive capacity of seven clinical scales for mortality in patients with COVID‑19: Study of a hospital cohort with very high mortality.

Martha A Mendoza-Hernandez, Gustavo A Hernandez-Fuentes, Carmen A Sanchez-Ramirez, Fabian Rojas-Larios, Jose Guzman-Esquivel, Iram P Rodriguez-Sanchez, Margarita L Martinez-Fierro, Martha I Cardenas-Rojas, Luis De-Leon-Zaragoza, Benjamin Trujillo-Hernandez and 4 more

Abstract read
In one paragraph

Article in Biomedical reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

14 authors.

Martha A Mendoza-HernandezDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Gustavo A Hernandez-FuentesDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Carmen A Sanchez-RamirezDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Fabian Rojas-LariosDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Jose Guzman-EsquivelClinical Epidemiology Research Unit, Mexican Institute of Social Security, Villa de Alvarez, Colima 28984, Mexico.
Iram P Rodriguez-SanchezMolecular and Structural Physiology Laboratory, School of Biological Sciences, Autonomous University of Nuevo Leon, San Nicolas de los Garza 66455, Mexico.
Margarita L Martinez-FierroMolecular Medicine Laboratory, Academic Unit of Human Medicine and Health Sciences, Autonomous University of Zacatecas, Zacatecas 98160, Mexico.
Martha I Cardenas-RojasClinical Epidemiology Research Unit, Mexican Institute of Social Security, Villa de Alvarez, Colima 28984, Mexico.
Luis De-Leon-ZaragozaDepartment of Research, Colima Cancerology State Institute, IMSS-Bienestar Colima, Colima 28085, Mexico.
Benjamin Trujillo-HernandezDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Mercedes Fuentes-MurguiaDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Héctor Ochoa-Díaz-LópezDepartment of Health, El Colegio de La Frontera Sur, San Cristóbal de Las Casas, 29290 Chiapas, Mexico.
Karmina Sánchez-MezaDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.
Ivan Delgado-EncisoDepartment of Molecular Medicine, School of Medicine, University of Colima, Colima 28040, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical data from hospital admissions are typically utilized to determine the prognostic capacity of Coronavirus disease 2019 (COVID-19) indices. However, as disease status and severity markers evolve over time, time-dependent receiver operating characteristic (ROC) curve analysis becomes more appropriate. The present analysis assessed predictive power for death at various time points throughout patient hospitalization. In a cohort study involving 515 hospitalized patients (General Hospital Number 1 of Mexican Social Security Institute, Colima, Mexico from February 2021 to December 2022) with COVID-19, seven severity indices [Pneumonia Severity Index (PSI) PaO

Indexed as

COVID-19hospital mortalityROC curvesensitivityseverity of illness indexspecificity

Identifiers

PMID38765855
PMCPMC11099607

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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.