Evidence map›Paper›PMID 41545215›Full record

ArticleBMJ global health2026

Comparative efficacy, feasibility and acceptability of HPV DNA testing on first-void urine versus self-collected vaginal samples: a real-world study in a resource-limited setting.

Sreeya Bose, Ranajit Mandal, Sankar Sengupta, Sankhadeep Dutta, Priya Abraham, Richard Muwonge, Eric Lucas, Chinmay Kumar Panda, Sathishrajaa Palaniraja, Maryluz Rol and 2 more

Abstract readComparative Study
In one paragraph

Article in BMJ global health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Sreeya BoseDepartment of Gynaecological Oncology, Chittaranjan National Cancer Institute, Kolkata, India.
Ranajit MandalDepartment of Gynaecological Oncology, Chittaranjan National Cancer Institute, Kolkata, India.
Sankar SenguptaDepartment of Laboratory Medicine, Chittaranjan National Cancer Institute, Kolkata, India.
Sankhadeep DuttaDepartment of Oncogene Regulation, Chittaranjan National Cancer Institute, Kolkata, India.
Priya AbrahamNational Institute of Virology, Vellore, India.
Richard MuwongeEarly Detection Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
Eric LucasEarly Detection Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
Chinmay Kumar PandaDepartment of Oncogene Regulation, Chittaranjan National Cancer Institute, Kolkata, India.
Sathishrajaa PalanirajaEarly Detection Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
Maryluz RolEarly Detection Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France.
Jayanta ChakrabartiDepartment of Surgical Oncology, Chittaranjan National Cancer Institute, Kolkata, India.
Partha BasuEarly Detection Prevention and Infections Branch, International Agency for Research on Cancer, Lyon, France basup@iarc.who.int.ORCID 0000-0003-0124-4050

Funding

World Health Organization 001
6 · The paper itself

Abstract

introductionSelf-sampling for cervical cancer screening is a promising strategy to improve coverage and reduce strain on health systems. First-void urine (FVU) has emerged as a non-invasive alternative to self-collected vaginal samples for detecting high-risk human papillomavirus (HPV). However, most supporting evidence is from colposcopy clinic settings and not from screening settings. This community-based study in Eastern India aimed to (1) assess agreement between HPV testing on FVU and vaginal samples, (2) compare their accuracy in detecting cervical intraepithelial neoplasia grade 2 (CIN2+) lesions and (3) evaluate feasibility and acceptability in a resource-limited setting.

methodsAt multiple rural clinics, 2500 women aged 30-60 years provided both FVU and self-collected vaginal samples. All samples were tested centrally using the Cobas4800 assay; discordant results were retested with the Allplex HR-HPV assay. HPV-positive women were referred for colposcopy and biopsy. Acceptability and preference were assessed through structured surveys with 1500 women and focus group discussions with health workers. These health workers counselled women at the clinics to provide both self-collected samples.

resultsAll participants provided satisfactory samples, except for two FVU samples, which did not yield satisfactory test results on repeated analysis. Agreement between FVU and vaginal samples for HPV detection was 99.0% (κ=0.90), with high concordance for HPV 16/18 (κ=0.90). CIN2+ detection rates were 6.0 and 7.2 per 1000 women screened with FVU and vaginal samples, respectively (p=0.6), with no statistically significant difference in sensitivity. Among surveyed women, 98.1% preferred urine sampling. Health workers favoured both self-sampling methods over speculum-based clinician collection.

conclusionHPV testing using FVU demonstrates high agreement with vaginal self-sampling, comparable accuracy in detecting CIN2+ lesions and greater acceptability among women. This method is feasible and well-suited for cervical cancer screening in resource-limited settings.

Indexed as

DNA, ViralEarly Detection of CancerHuman Papillomavirus VirusesPapillomavirus InfectionsPatient Acceptance of Health CareSpecimen HandlingUterine Cervical DysplasiaUterine Cervical NeoplasmsVaginal SmearsAdultFeasibility StudiesFemaleHumansIndiaMiddle AgedPapillomaviridaeDNA, ViralCancerIndiaObstetricsPrevention strategiesScreening

Identifiers

PMID41545215
PMCPMC12815044

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.