Evidence map›Paper›PMID 39918668›Full record

ArticleHead and neck pathology2025

Diagnostic Criteria for Oral Epithelial Dysplasia: Predicting Malignant Transformation.

Amanda Zimmer Rodrigues, Natalia Koerich Laureano, Bruna Jalfim Maraschin, Alessandra Dutra da Silva, Viviane Palmeira da Silva, Pantelis Varvaki Rados, Fernanda Visioli

Abstract read
In one paragraph

Article in Head and neck pathology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Predicting Malignant Transformation in Oral Epithelial Dysplasia: A Systematic Comparison of Artificial Intelligence-Based Risk Models and Pathologist-Based Microscopy.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Pooled it
  2. Global Prevalence of Oral Potentially Malignant Disorders: An Updated Systematic Review and Meta-Analysis.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2026
    Pooled it
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  7. 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.

Amanda Zimmer Rodrigues *Dentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil.
Natalia Koerich Laureano *Dentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil. nataliakoerich@gmail.com.ORCID https://orcid.org/0000-0002-9587-2842
Bruna Jalfim MaraschinDentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil.
Alessandra Dutra da SilvaDentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil.
Viviane Palmeira da SilvaDentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil.ORCID http://orcid.org/0000-0002-8982-8597
Pantelis Varvaki RadosDentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil.ORCID http://orcid.org/0000-0001-9307-1980
Fernanda VisioliDentistry School, Universidade Federal do Rio Grande do Sul, Rua Ramiro Barcelos, 2492. Bairro Santana -, Porto Alegre, RS, CEP 90035-003, Brasil.ORCID http://orcid.org/0000-0002-4033-8431

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 130815/2022-5Conselho Nacional de Desenvolvimento Científico e Tecnológico 151029/2022-9Conselho Nacional de Desenvolvimento Científico e Tecnológico 313432/2023-6
6 · The paper itself

Abstract

purposeIn 2022, the World Health Organization (WHO) proposed new criteria for the diagnosis of oral epithelial dysplasia (OED), however their association with patient's outcome is still unknown. This study compared the different classification systems of OED and evaluate their efficacy in predicting malignant transformation.

methodsA total of 195 slides of leukoplakia and erythroplakia were graded according to the WHO 2017, 2022, and the Binary System classification, and were correlated with the lesion's evolution.

resultsA progressive increase in malignant transformation according to the severity of OED, with both the WHO and the Binary classification systems was detected. Among individual criteria, changes in cell morphology were independently associated with an increased risk of malignant transformation (HR = 2.8, 95%CI 1.1-7.5, p = 0.032). Considering the new set of OED criteria published in 2022, it was detected that a new cutoff of 4 architectural alterations and 6 cytological alterations predicts better malignant transformation.

conclusionMalignant transformation was equally predicted by the OED classification systems. Due to the increased number of architectural and cytological features in WHO 2022, a new cutoff for classifying OED from low to high-grade considering 4 architectural and 6 cytological alterations is proposed. The findings allow a more accurate assessment of malignant transformation risk in OED.

Indexed as

Cell Transformation, NeoplasticErythroplasiaLeukoplakia, OralMouth MucosaMouth NeoplasmsPrecancerous ConditionsAdultAgedFemaleHumansMaleMiddle AgedHistological ClassificationHistological DiagnosisOral Epithelial DysplasiaOral ErythroplakiaOral LeukoplakiaWHO 2022 Criteria

Identifiers

PMID39918668
PMCPMC11806176

What OpenQuestion holds

Textmetadata
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.