Evidence map›Paper›PMID 42142346›Full record

SynthesisActa cytologica2026

Liquid-Based Cytology in Cervical Cancer Screening: A Systematic Review and Meta-Analysis.

Gerd Böhmer, Claudia Stolte, Tobias Vogelmann, Tino Schubert

Abstract readSystematic Review
In one paragraph

Synthesis in Acta cytologica, 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
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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.

Gerd BöhmerIZD Hannover, Hannover, Germany.
Claudia StolteIZD Hannover, Hannover, Germany.
Tobias VogelmannLinkCare GmbH, Ludwigsburg, Germany, tv@link-care.de.
Tino SchubertLinkCare GmbH, Ludwigsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWhile the conventional Papanicolaou (Pap) smear has long been the cornerstone of cervical cancer (CC) screening, it presents well-documented limitations in sample collection, processing, and interpretation. Liquid-based cytology (LBC) was introduced to address these drawbacks by offering more uniform cell samples and enabling standardized evaluation. However, due to ongoing debate and conflicting study results regarding their comparative diagnostic accuracy, a rigorous evidence-based assessment is needed. The objective of this systematic review and meta-analysis was to systematically assess the diagnostic accuracy of LBC compared to conventional Pap cytology in the detection of cervical precancerous and cancerous lesions.

methodsPubMed and Cochrane Library were systematically searched. Comparative studies of LBC and conventional Pap cytology in primary CC screening were included. Outcomes included unsatisfactory sample rate, abnormal histology-confirmed cytology detection rate (ADR) CIN2+ lesions (cervical intraepithelial neoplasia), squamous cell carcinoma (SCC), and glandular abnormalities. Random-effects models were used to estimate risk ratios (RRs). A two-sided p value of 0.05 was used to determine statistical significance.

resultsNinety-seven studies were included. LBC had a lower unsatisfactory sample rate than conventional Pap cytology (RR: 0.63, 95% CI: 0.47-0.85, p = 0.003). The detection rate of SCC was similar (RR: 1.77, 95% CI: 0.96-3.26, p = 0.07). The glandular abnormality detection rate showed no overall difference (RR: 1.23, 95% CI: 0.75-2.02, p = 0.42), but a subgroup analysis (FDA-approved tests) showed superiority of LBC (RR: 1.52, 95% CI: 1.18-1.96, p = 0.001). LBC had a 35% higher abnormal cytology detection rate confirmed by histology (RR: 1.35, 95% CI: 1.20-1.52, p < 0.0001) and a 27% higher detection of confirmed CIN2+ abnormalities (RR: 1.27, 95% CI: 1.11-1.45, p = 0.0006).

conclusionLBC improves CIN2+ and histology-confirmed abnormal detection rates while reducing unsatisfactory samples, supporting its use in CC screening. SCC detection rates were similar. Findings suggest that LBC, particularly when using FDA-approved tests, enhances glandular abnormality detection. Further research should evaluate its cost-effectiveness in low-resource settings.

Indexed as

Cervical cancerLiquid-based cytologyMeta-analysis

Identifiers

PMID42142346
PMCPMC13293589

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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.