Evidence map›Paper›PMID 42121574›Full record

ReviewHealthcare (Basel, Switzerland)2026

Evaluating Artificial Intelligence Models for ICU Length of Stay Prediction: A Systematic Review and Meta-Analysis.

Carlos Zepeda-Lugo, Andrea Insfran-Rivarola, Marcos Sanchez-Lizarraga, Sharon Macias-Velasquez, Ana-Pamela Arevalos, Yolanda Baez-Lopez, Diego Tlapa

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2026. 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. Review
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

7 authors.

Carlos Zepeda-LugoFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 21100, Mexico.ORCID 0000-0002-9444-3106
Andrea Insfran-RivarolaLaboratorio de Producción y Métodos, Departamento de Ingeniería Industrial, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.ORCID 0000-0001-8040-2883
Marcos Sanchez-LizarragaUnidad Académica de Negocios, Universidad Autónoma de Sinaloa, Los Mochis 81223, Mexico.ORCID 0000-0001-8730-9913
Sharon Macias-VelasquezFacultad de Ingeniería, Universidad Autónoma de San Luis Potosí, San Luis Potosí 78290, Mexico.ORCID 0000-0002-1201-6320
Ana-Pamela ArevalosLaboratorio de Producción y Métodos, Departamento de Ingeniería Industrial, Universidad Nacional de Asunción, San Lorenzo 2160, Paraguay.ORCID 0000-0002-0646-1444
Yolanda Baez-LopezFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 21100, Mexico.ORCID 0000-0001-8418-254X
Diego TlapaFacultad de Ingeniería, Arquitectura y Diseño, Universidad Autónoma de Baja California, Ensenada 21100, Mexico.ORCID 0000-0002-1491-5442

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

deep learninghealth informaticsintensive carelength of staymachine learningsustainability

Identifiers

PMID42121574
PMCPMC13163238

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.