Evidence map›Paper›PMID 41524839›Full record

SynthesisOdontology2026

MicroRNAs as diagnostic biomarkers in periodontitis: a systematic review and meta-analysis.

Maaz Anwer Memon, Wan Nazatul Shima Shahidan, Noriko Mizusawa, Thirumulu Ponnuraj Kannan, Rizwan Mahmood, Khairul Mohd Fadzli Mustaffa, Usman Ashraf

Abstract readSystematic ReviewMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Odontology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Maaz Anwer MemonSchool of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kelantan, Malaysia.
Wan Nazatul Shima ShahidanDepartment of Pharmacology, School of Medical Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kelantan, Malaysia. shima@usm.my.
Noriko MizusawaDepartment of Oral Bioscience, Institute of Biomedical Sciences, Tokushima University Graduate School, 3-Kuramoto-Cho, Tokushima City, 7708504, Japan.
Thirumulu Ponnuraj KannanSchool of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kelantan, Malaysia.
Rizwan MahmoodSchool of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kelantan, Malaysia.
Khairul Mohd Fadzli MustaffaInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kelantan, Malaysia.
Usman AshrafSchool of Dental Sciences, Universiti Sains Malaysia, Health Campus, Kubang Kerian, 16150, Kelantan, Malaysia.

Funding

Fundamental Research Grant Scheme FRGS/1/2022/SKK06/USM/03/2
6 · The paper itself

Abstract

MicroRNAs (miRNAs) are key gene regulators, and their dysregulation is linked to periodontitis. This systematic review and meta-analysis assessed miRNAs consistently associated with periodontitis, focussing on their diagnostic accuracy and potential as biomarkers for early detection. Following PRISMA guidelines (PROSPERO ID: CRD42024520884), electronic searches were conducted in PubMed, Scopus, Web of Science, and Wiley Online Library up to 31 May 2025. The meta-analysis included studies reporting common miRNAs in at least three independent investigations. Diagnostic accuracy was determined by pooled sensitivity, specificity, and area under the hierarchical summary receiver operating characteristic curve (HSROC). Heterogeneity (Cochran's Q, I

Indexed as

MicroRNAsPeriodontitisBiomarkersHumansSensitivity and SpecificityBiomarkersMicroRNAsBiomarkerDiagnosisHumansmiRNAPeriodontal diseasesPeriodontitis

Identifiers

PMID41524839
PMCPMC13320082

What OpenQuestion holds

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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.