Evidence map›Paper›PMID 34050426›Full record

SynthesisClinical oral investigations2021

Binary and WHO dysplasia grading systems for the prediction of malignant transformation of oral leukoplakia and erythroplakia: a systematic review and meta-analysis.

Brunno Santos de Freitas Silva, Danielle Coelho Ribeiro Batista, Camila Ferro de Souza Roriz, Lorena Rosa Silva, Ana Gabriela Costa Normando, Alan Roger Dos Santos Silva, Maria Alves Garcia Silva, Fernanda Paula Yamamoto-Silva

Abstract readMeta-AnalysisSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Clinical oral investigations, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Brunno Santos de Freitas SilvaDepartment of Stomatologic Sciences, School of Dentistry, Federal University of Goiás, Av. Primeira Avenida, s/n. Setor Leste Universitário, Goiânia, GO, CEP 74605-020, Brazil. brunno.santosfreitas@gmail.com.ORCID http://orcid.org/0000-0002-1437-2871
Danielle Coelho Ribeiro BatistaSchool of Dentistry, University of Anápolis, Anápolis, GO, Brazil.
Camila Ferro de Souza RorizSchool of Dentistry, University of Anápolis, Anápolis, GO, Brazil.
Lorena Rosa SilvaDepartment of Stomatologic Sciences, School of Dentistry, Federal University of Goiás, Av. Primeira Avenida, s/n. Setor Leste Universitário, Goiânia, GO, CEP 74605-020, Brazil.
Ana Gabriela Costa NormandoOral Diagnosis Department, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Brazil.
Alan Roger Dos Santos SilvaOral Diagnosis Department, Piracicaba Dental School, University of Campinas (UNICAMP), Piracicaba, Brazil.
Maria Alves Garcia SilvaDepartment of Stomatologic Sciences, School of Dentistry, Federal University of Goiás, Av. Primeira Avenida, s/n. Setor Leste Universitário, Goiânia, GO, CEP 74605-020, Brazil.
Fernanda Paula Yamamoto-SilvaDepartment of Stomatologic Sciences, School of Dentistry, Federal University of Goiás, Av. Primeira Avenida, s/n. Setor Leste Universitário, Goiânia, GO, CEP 74605-020, Brazil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 424009/2018-8
6 · The paper itself

Abstract

objectivesThe aim of this systematic review was to examine the evidence of the binary histologic grading system capacity for predicting malignant transformation and to compare it with that of the WHO systems. MATERIAL AND

methodsA systematic review was conducted, using PubMed, EMBASE, LILACS, Web of Science, Scopus, and LIVIVO databases without any language or timeframe restrictions. Studies were included if they compared the binary and the WHO histologic grading systems in the prediction of malignant transformation of oral epithelial dysplasia (OED).

resultsThe capacity of the WHO and binary grading systems to predict malignant transformation ranged from 16 to 80% and from 5 to 80%, respectively. The pooled malignant transformation rate of lesions classified as severe dysplasia or carcinoma in situ by the WHO grading was 40% (95% confidence interval (CI), 0.02-0.87; I

conclusionsAlthough some studies suggest that the binary system is associated with lower inter-rater variability when grading OED, the evidence remains inconclusive on whether this system is superior to that of the WHO at predicting malignant transformation. CLINICAL RELEVANCE: The reproducibility of the binary system has the potential to be better for prognostic purposes. However, there is no high-quality evidence to confirm if this advantage may assist clinicians in decision-making.

Indexed as

Mouth NeoplasmsPrecancerous ConditionsCell Transformation, NeoplasticHumansLeukoplakia, OralReproducibility of ResultsWorld Health OrganizationEpithelial dysplasiaMalignant transformationOral cancerPrediction

Identifiers

What OpenQuestion holds

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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.