Evidence map›Paper›PMID 41113805›Full record

SynthesisFrontiers in oral health2025

Malignant transformation rate of oral precancerous disorders to oral cancer: systematic review and meta-analysis of the current evidence.

Maryam Khodadadi, Mohammadmehdi Khodadadi

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in oral health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. PELP1 expression is associated with disease progression in inflammation-driven oral cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. 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

2 authors.

Maryam KhodadadiSchool of Stomatology, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mohammadmehdi KhodadadiMedical Campus, Zhengzhou University, Zhengzhou, Henan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Oral potentially malignant disorders (OPMDs) are precancerous conditions that may eventually turn into oral cancer (OC). The aim of this present study was to reassess the data associated with OPMDs and their malignant transformation rate into oral cancer. Methods: A comprehensive search was performed in PubMed, Scopus, Embase, and Web of Science (WoS) to locate studies on OPMDs risk of OC up to July 10, 2025. A summary odds ratio (SOR) was used for the analysis of data. To explore the heterogeneity, subgroup analyses and meta-regression analyses were used. The certainty of evidence was rated using the GRADE protocol. Results: Twenty-nine studies met the inclusion criteria. The meta-analysis showed an elevated risk of OC by overall OPMDs (SOR = 2.5 (95% CI 2.43-2.58). The highest risk of OC in OPMDs were leukoplakia (SOR = 3.35 (95% CI 3.21-3.50), erythroplakia (SOR = 3.3 (95% CI 3.21-3.50), oral epithelial dysplasia (SOR = 1.41 (95% CI 1.20-1.73), and oral submucosa fibrosis (SOR = 2.9 (95% CI 2.70-3.12). Subgroup and meta-regression analyses demonstrated a significant positive association between the development risk of OC with age and duration of follow up. Conclusions: This study suggests a significant association between OPMDs and OC. Age and duration of follow up may modify this association. This study provides insight into the malignant transformation rate to oral cancer to aid researchers, dentists, and clinicians in efficiently controlling this disease in the general population.

Indexed as

malignantmeta-analysisOPMDsoral cancersystematic review

Identifiers

PMID41113805
PMCPMC12528030

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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.