Evidence map›Paper›PMID 42697578›Full record

ArticleBMJ open2026

Diagnostic accuracy of miRNA in detection of upper aerodigestive tract malignancies: a protocol for systematic review.

Ankita Tandon, Amit Kumar, Suvarna Jyothi Kantipudi, Khushboo Gupta, Shreya Chatterjee, Shanvi Kumari

Abstract read
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ankita TandonDepartment of Oral Pathology, Microbiology and Forensic Odontology, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India drankitatandon7@gmail.com.ORCID 0000-0002-7527-0772
Amit KumarDepartment of Laboratory Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Suvarna Jyothi KantipudiPsychiatry, SRIHER (Deemed to be University), Chennai, Tamil Nadu, India.ORCID 0000-0002-9161-3229
Khushboo GuptaUniversity of California San Francisco, San Francisco, California, USA.
Shreya ChatterjeeDepartment of Laboratory Medicine, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India.
Shanvi KumariConsultant, Patna, Bihar, India.ORCID 0009-0009-8071-505X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionUpper aerodigestive tract (UADT) malignancies, involving oral cavity, pharynx, larynx and related anatomical regions, are associated with substantial morbidity and mortality worldwide. Early diagnosis remains challenging because conventional diagnostic approaches are often invasive, costly and frequently detect disease at advanced stages. MicroRNAs (miRNAs) involved in post-transcriptional gene regulation have recently emerged as promising minimally invasive biomarkers due to their remarkable stability in biological fluids and their dysregulated expression in cancer. Although literature showcases the diagnostic value of miRNA signatures for UADT malignancies, the reported diagnostic performance remains inconsistent. Therefore, a comprehensive synthesis of current evidence is essential to determine the overall diagnostic precision and clinical applicability of miRNA-based assays. METHODS AND ANALYSIS: We will report the results of the systematic review as per Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies (PRISMA-DTA) reporting guidelines and adhere to the recommendations of the Cochrane Collaboration Handbook for Diagnostic Test Accuracy Reviews for conducting this review. The electronic databases of PubMed, Scopus, Web of Science and Embase will be systematically searched from inception onwards. Studies assessing the diagnostic performance of miRNA biomarkers in histopathologically confirmed UADT malignancies will be included. Two authors will independently perform study selection, data extraction and quality assessment (Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2)). Diagnostic accuracy meta-analysis will be conducted using a hierarchical bivariate random-effects model (Reitsma model) to jointly pool sensitivity and specificity estimates while accounting for heterogeneity and threshold effects. Hierarchical summary receiver operating characteristic curves will be constructed, and we will analyse pooled estimates of sensitivity, specificity, positive likelihood ratio, negative likelihood ratio and diagnostic OR at 95% CIs. Meta-regression followed by subgroup analysis will be undertaken to explore potential sources of heterogeneity, including specimen type, miRNA profiling method, study design and patient characteristics. ETHICS AND DISSEMINATION: This study will synthesise data from previously published literature without involving individual patient data or direct participant involvement. Findings from this review will be dispersed via publication in a peer-reviewed journal and through presentations at National/International scientific platforms. PROSPERO REGISTRATION DETAILS: CRD420261384413.

Indexed as

Biomarkers, TumorHead and Neck NeoplasmsMicroRNAsHumansResearch DesignSensitivity and SpecificitySystematic Reviews as TopicBiomarkers, TumorMicroRNAsCancerHead & neck tumoursMeta-AnalysisSystematic Review

Identifiers

PMID42697578
PMCPMC13548241

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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.