Evidence map›Paper›PMID 41149858›Full record

ArticleJournal of personalized medicine2025

Differentially Expressed Genes Identify FIGO Stage II Cervical Cancer Patients with a Higher Risk of Relapse in a Small Cohort.

Carolina P S Melo, Angelo B Melo, Fábio R Queiroz, Álvaro P Costa, Laurence R Amaral, Ramon A Pereira, Izabela F G Amorim, Jorge G G Ferreira, Wander J Jeremias, Pedro L L Bertarini and 3 more

Abstract read
In one paragraph

Article in Journal of personalized medicine, 2025. 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

13 authors.

Carolina P S MeloLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.ORCID 0000-0001-9698-5817
Angelo B MeloLaboratory of Bioinformatics and Molecular Analysis, Federal University of Uberlandia, Patos de Minas 38702-178, MG, Brazil.
Fábio R QueirozLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.ORCID 0000-0003-0238-5787
Álvaro P CostaPostgraduate Program in Sciences Applied to Surgery and Ophthalmology, Faculty of Medicine, Federal University of Minas Gerais, Belo Horizonte 30130-100, MG, Brazil.
Laurence R AmaralLaboratory of Bioinformatics and Molecular Analysis, Federal University of Uberlandia, Patos de Minas 38702-178, MG, Brazil.ORCID 0000-0003-4681-5451
Ramon A PereiraLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.
Izabela F G AmorimLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.
Jorge G G FerreiraLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.
Wander J JeremiasLaboratory of Experimental Pharmacology, School of Pharmacy, Federal University of Ouro Preto, Ouro Preto 35402-163, MG, Brazil.ORCID 0000-0001-8204-6712
Pedro L L BertariniLaboratory of Bioinformatics and Molecular Analysis, Federal University of Uberlandia, Patos de Minas 38702-178, MG, Brazil.ORCID 0000-0003-1816-564X
Matheus S GomesLaboratory of Bioinformatics and Molecular Analysis, Federal University of Uberlandia, Patos de Minas 38702-178, MG, Brazil.
Letícia C BragaLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.
Paulo G O SallesLaboratory of Translational Research in Oncology, Teaching, Research and Innovation Center, Mario Penna Institute, Belo Horizonte 30380-490, MG, Brazil.

Funding

Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-02255-22Fundação de Amparo à Pesquisa do Estado de Minas Gerais APQ-02564-22Fundação de Amparo à Pesquisa do Estado de Minas Gerais RED 00059-23Ministério da Saúde NUP 25000.079266/2015-09Ministério da Saúde NUP 25000.159953/2014-18
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

artificial intelligence for oncologycervical cancer prognosiscervical cancer recurrenceFIGO staginggene expression signaturemachine learning modelnetwork-based selection method

Identifiers

PMID41149858
PMCPMC12565686

What Socratic 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 Socratic graph.