Evidence map›Paper›PMID 33639655›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2021

Mobile Screening Unit (MSU) for the Implementation of the 'Screen and Treat' Programme for Cervical Cancer Prevention In Pune, India.

Smita Joshi, Richard Muwonge, Vinay Kulkarni, Eric Lucas, Sanjeevani Kulkarni, Seema Kand, Mahesh Mandolkar, Mufid Baig, Sudhakar Wankhede, Kavita Surwase and 3 more

Open access · goldAbstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% of its field
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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Mobile Cancer Screening Programs: A Systematic Review of Implementation Challenges and Population Access.International journal of environmental research and public health · 2026
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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

13 authors at 1 institution in 1 country.

Smita JoshiPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.ORCID 0000-0003-4776-2275
Richard MuwongeScreening Group, Early Detection and Prevention Section, International Agency for Research on Cancer, WHO, Lyon, France.
Vinay KulkarniPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Eric LucasScreening Group, Early Detection and Prevention Section, International Agency for Research on Cancer, WHO, Lyon, France.
Sanjeevani KulkarniPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Seema KandPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Mahesh MandolkarPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Mufid BaigPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Sudhakar WankhedePrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Kavita SurwasePrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Dilip PardeshiPrayas, Amrita Clinic, Athawale Corner, Karve Road, Deccan Gymkhana, Pune 411 004, India.
Partha BasuScreening Group, Early Detection and Prevention Section, International Agency for Research on Cancer, WHO, Lyon, France.ORCID 0000-0003-0124-4050
Sankaranarayanan RengaswamyResearch Triangle Institute, International- India, Commercial Tower, Pullman Hotel Aerocity, New Delhi, India.ORCID 0000-0003-4957-5174
Centre International de Recherche sur le Cancer · FR

Funding

World Health Organization 001
6 · The paper itself

Abstract

objectivesWe are reporting the evaluation of an opportunistic point of care cervical cancer screening initiative in Pune, India using a mobile screening unit (MSU).

methodsWe conducted 290 cervical cancer screening outreach clinics in the MSU. Screening was performed by trained nurses/ health care providers using visual inspection with 5% acetic acid (VIA). Screen positive women when eligible were treated by thermal ablation during the same sitting. Women with large lesions not eligible for treatment with thermal ablation were referred for colposcopy and treatment.

resultsA total of 10, 925 women were screened between Nov 2016 and June 2019 in 290 outreach clinics in the MSU. The overall screen positivity was 6.6% (95% CI 6.1, 7.0) with a declining trend over time. A total of 304/717 (42.4%, 95% CI 38.7, 46.1) women received treatment with thermal ablation. About 3.6% (11/304) reported minor side effects and 1.6% (5/304) reported lower abdominal pain and all of them subsided after treatment.  Among the 413 women who were advised colposcopy, only 84 (20.33%) women underwent the procedure. Of these 84 women, 64 (76.19%) had normal colposcopy/ histopathology, 7 (8.33%) had CIN1, 2 (2.38%) had CIN 2, 9 (10.71%) had CIN 3 disease and 2 (2.38%) women were diagnosed with invasive cancer.

conclusionMSUs are useful for providing cervical cancer screening services, using the 'screen and treat' strategy.  Thermal ablation is safe in the field clinics. Additional efforts are needed to improve the compliance for referral of those with large lesions requiring additional visits.

Indexed as

Early Detection of CancerMobile Health UnitsAdultColposcopyEndometrial Ablation TechniquesFemaleHumansIndiaMiddle AgedSocioeconomic FactorsUterine Cervical NeoplasmsYoung AdultCervical cancermobile screening unitScreeningThermal ablation

Identifiers

PMID33639655
PMCPMC8190336
OpenAlexW3135491378

What OpenQuestion holds

Textmetadata
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.