Evidence map›Paper›PMID 41079941›Full record

ReviewThe journal of liquid biopsy2025

Liquid biopsy biomarkers in cervical cancer: A systematic review and meta-analysis.

Isaac Kinyua Njangiru, Bizhar Ahmed Tayeb, Hazhmat Ali, Rafl M Kamil

Abstract readReview
In one paragraph

Review in The journal of liquid biopsy, 2025. 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
–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

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

4 authors.

Isaac Kinyua NjangiruDepartment of Chemistry and Biochemistry, School of Science and Applied Technology, Laikipia University, Nyahururu, Kenya.
Bizhar Ahmed TayebInstitute of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, Eötvös u. 6, 6720, Szeged, Hungary.
Hazhmat AliInstitute of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, Eötvös u. 6, 6720, Szeged, Hungary.
Rafl M KamilFaculty of Pharmacy, Department of Pharmaceutical Technology, University of Malaya, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/objectives: Liquid biopsy biomarkers are emerging as vital tools for cancer screening and diagnosis, offering a noninvasive and accurate approach to early malignancy detection. This study aimed to assess the diagnostic performance of circulating biomarkers in cervical cancer (CC). Methods: A comprehensive literature search was conducted across the Cochrane Library, PubMed, SCOPUS, and Web of Science, identifying 130 studies, of which 11 met the inclusion criteria. Data on true and false positives and negatives were extracted to calculate pooled sensitivity, specificity, likelihood ratios, diagnostic odds ratios (DORs), and 95 % confidence intervals (CIs). Study quality and risk of bias were evaluated using the QUADAS-2 tool, while publication bias was assessed via Deeks' funnel plot. Results: The meta-analysis included 1301 patients, 670 healthy controls, and 438 individuals with benign or precancerous lesions. Pooled sensitivity was 0.68 (95 % CI: 0.65-0.70), and specificity was 0.84 (95 % CI: 0.81-0.86). The DOR was 61.10 (95 % CI: 32.20-115.9), with an area under the curve (AUC) of 0.95. Most studies demonstrated a low risk of bias, and no significant publication bias was observed (P = 0.06). Plasma-based liquid biopsies and miRNA biomarkers exhibited superior diagnostic performance. Conclusions: These findings suggest that liquid biopsy biomarkers may substantially enhance the accuracy of cervical cancer detection, representing a promising strategy for early diagnosis.

Indexed as

Cervical cancerDiagnostic accuracyLiquid biopsyMeta-analysisScreening testTarget biomarker

Identifiers

PMID41079941
PMCPMC12513236

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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.