Evidence map›Paper›PMID 30736423›Full record

ReviewDentistry journal2019

Oral White Lesions: An Updated Clinical Diagnostic Decision Tree.

Hamed Mortazavi, Yaser Safi, Maryam Baharvand, Soudeh Jafari, Fahimeh Anbari, Somayeh Rahmani

Open access · goldAbstract readReview
In one paragraph

Review in Dentistry journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
8.8field-weighted citation impact, top 2% of its field
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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 101 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Oral and maxillofacial manifestations of COVID-19.GMS hygiene and infection control · 2026
    Review
  7. Article
  8. Article
  9. Common white lesions of the oral cavity: Review of clinical presentations and management.Canadian family physician Medecin de famille canadien · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Use of Artificial Intelligence in the Classification of Elementary Oral Lesions from Clinical Images.International journal of environmental research and public health · 2023
    Article
  20. Article
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

6 authors at 1 institution in 1 country.

Hamed MortazaviOral Medicine Department, School of Dentistry, Shahid Beheshti University of Medical Sciences, 1983969411 Tehran, Iran. mortazavi.h@sbmu.ac.ir.
Yaser SafiOral and Maxillofacial Radiology Department, School of Dentistry, Shahid Beheshti University of Medical Sciences, 1983969411 Tehran, Iran. Safiy2018@sbmu.ac.ir.
Maryam BaharvandOral Medicine Department, School of Dentistry, Shahid Beheshti University of Medical Sciences, 1983969411 Tehran, Iran. m-baharvand@sbmu.ac.ir.
Soudeh JafariOral Medicine Department, School of Dentistry, Shahid Beheshti University of Medical Sciences, 1983969411 Tehran, Iran. drjafari@sbmu.ac.ir.
Fahimeh AnbariOral Medicine Department, School of Dentistry, Shahid Beheshti University of Medical Sciences, 1983969411 Tehran, Iran. fahimeh.anbari@sbmu.ac.ir.
Somayeh RahmaniOral Medicine Department, School of Dentistry, Shahid Beheshti University of Medical Sciences, 1983969411 Tehran, Iran. s_rahmani@sbmu.ac.ir.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diagnosis of oral white lesions might be quite challenging. This review article aimed to introduce a decision tree for oral white lesions according to their clinical features. General search engines and specialized databases including PubMed, PubMed Central, EBSCO, Science Direct, Scopus, Embase, and authenticated textbooks were used to find relevant topics by means of MeSH keywords such as "mouth disease", "oral keratosis", "oral leukokeratosis", and "oral leukoplakia". Related English-language articles published since 2000 to 2017, including reviews, meta-analyses, and original papers (randomized or nonrandomized clinical trials; prospective or retrospective cohort studies), case reports, and case series about oral diseases were appraised. Upon compilation of data, oral white lesions were categorized into two major groups according to their nature of development: Congenital or acquired lesions and four subgroups: Lesions which can be scraped off or not and lesions with the special pattern or not. In total, more than 20 entities were organized in the form of a decision tree in order to help clinicians establish a logical diagnosis by a stepwise progression method.

Indexed as

mouth diseaseoral keratosisoral leukokeratosisoral leukoplakia

Identifiers

PMID30736423
PMCPMC6473409
OpenAlexW2914071905

What OpenQuestion 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 OpenQuestion graph.