Evidence map›Paper›PMID 41594239›Full record

ReviewDiagnostics (Basel, Switzerland)2026

Artificial Intelligence Approaches to Predict Postoperative Length of Hospital Stay in Head and Neck Cancer Patients: A Systematic Review.

Willian Nogueira Silva, Anna Luíza Damaceno Araújo, Alvaro Sanabria, Ludhmila A Hajjar, Juan Pablo Rodrigo, Karthik N Rao, Ewa Florek, Remco de Bree, Alfio Ferlito, Luiz Paulo Kowalski

Abstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Willian Nogueira SilvaHead and Neck Surgery Department and LIM 28, University of São Paulo Medical School, São Paulo 05403-900, Brazil.ORCID 0009-0003-1321-8201
Anna Luíza Damaceno AraújoHead and Neck Surgery Department and LIM 28, University of São Paulo Medical School, São Paulo 05403-900, Brazil.ORCID 0000-0002-3725-8051
Alvaro SanabriaDepartment of Surgery, School of Medicine, Universidad de Antioquia, Medellin 050015, Colombia.ORCID 0000-0002-5563-8840
Ludhmila A HajjarDepartment of Cardiopneumology, InCor, University of Sao Paulo Medical School, São Paulo 05403-900, Brazil.
Juan Pablo RodrigoDepartment of Otolaryngology, Hospital Universitario Central de Asturias, University of Oviedo, ISPA, IUOPA, CIBERONC, 33011 Oviedo, Spain.ORCID 0000-0003-3063-0890
Karthik N RaoDepartment of Head and Neck Oncology, All India Institute of Medical Sciences, Raipur 492099, India.ORCID 0000-0002-1420-7366
Ewa FlorekLaboratory of Environmental Research, Department of Toxicology, Poznan University of Medical Sciences, 60-631 Poznan, Poland.ORCID 0000-0002-2689-3009
Remco de BreeDepartment of Head and Neck Surgical Oncology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.ORCID 0000-0001-7128-5814
Alfio FerlitoInternational Head and Neck Scientific Group, 35128 Padua, Italy.ORCID 0000-0002-8247-8002
Luiz Paulo KowalskiHead and Neck Surgery Department and LIM 28, University of São Paulo Medical School, São Paulo 05403-900, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo #2021/14585-7 and #2024/08464-0
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligencehead and neck surgerylength of staymachine learningpredictive models

Identifiers

PMID41594239
PMCPMC12839552

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.