Evidence map›Paper›PMID 35164716›Full record

ArticleBMC public health2022

Cervical cancer screening coverage and its related knowledge in southern Malawi.

Sibylle Gerstl, Lawrence Lee, Robin C Nesbitt, Christopher Mambula, Hartini Sugianto, Twambilire Phiri, James Kachingwe, Augusto Eduardo Llosa

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06810427 (A Novel, Low-Cost, Handheld 3D Imaging System for Improved Screening for Cervical Neoplasia in Resource-Limited Settings), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.0field-weighted citation impact, top 4% 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.

NCT06810427 naactive not recruitingnot on this mapstarted 2025, after this paper: background citation

A Novel, Low-Cost, Handheld 3D Imaging System for Improved Screening for Cervical Neoplasia in Resource-Limited Settings

TypeinterventionalSponsorCarilion ClinicRan2025 to 2026Enrolled18ConditionsCervical Intraepithelial NeoplasiaArmsCervImage device
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 35 citations in OpenAlex.

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  19. Vaccine hesitancy in Malawi: a threat to already-made health gains.Annals of medicine and surgery (2012) · 2023
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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

8 authors at 3 institutions in 2 countries.

Sibylle GerstlEpicentre / Médecins Sans Frontières (MSF), Paris, France. sibylle.gerstl@epicentre.msf.org.
Lawrence LeeEpicentre / Médecins Sans Frontières (MSF), Paris, France.
Robin C NesbittEpicentre / Médecins Sans Frontières (MSF), Paris, France.
Christopher MambulaMédecins Sans Frontières (MSF), Paris, France.
Hartini SugiantoMédecins Sans Frontières (MSF), Blantyre, Malawi.
Twambilire PhiriMinistry of Health, Blantyre, Malawi.
James KachingweMinistry of Health, Blantyre, Malawi.
Augusto Eduardo LlosaEpicentre / Médecins Sans Frontières (MSF), Paris, France.
Médecins Sans Frontières · FRMinistry of Health · MWBlantyre Institute for Community Ophthalmology · MW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer (CC) is the fourth most common cancer among women worldwide and Malawi has the world's highest rate of cervical cancer related mortality. Since 2016 the National CC Control Strategy has set a screening coverage target at 80% of 25-49-year-old women. The Ministry of Health and Médecins Sans Frontières (MSF) set up a CC program in Blantyre City, as a model for urban areas, and Chiradzulu District, as a model for rural areas. This population-based survey aimed to estimate CC screening coverage and to understand why women were or were not screened.

methodsA population-based survey was conducted in 2019. All resident consenting eligible women aged 25-49 years were interviewed (n = 1850) at households selected by two-stage cluster sampling. Screening and treatment coverage and facilitators and barriers to screening were calculated stratified by age, weighted for survey design. Chi square and design-based F tests were used to assess relationship between participant characteristics and screening status.

resultsThe percentage of women ever screened for CC was highest in Blantyre at 40.2% (95% CI 35.1-45.5), 38.9% (95% CI 32.8-45.4) in Chiradzulu with supported CC screening services, and lowest in Chiradzulu without supported CC screening services at 25.4% (95% CI 19.9-31.8). Among 623 women screened, 49.9% (95% CI 44.0-55.7) reported that recommendation in the health facility was the main reason they were screened and 98.5% (95% CI 96.3-99.4) recommended CC screening to others. Among 1227 women not screened, main barriers were lack of time (26.0%, 95% CI 21.9-30.6), and lack of motivation (18.3%, 95% CI 14.1-23.3). Overall, 95.6% (95% CI 93.6-97.0) of women reported that they had some knowledge about CC. Knowledge of CC symptoms was low at 34.4% (95% CI 31.0-37.9) and 55.1% (95% CI 51.0-59.1) of participants believed themselves to be at risk of CC.

conclusionMost of the survey population had heard about CC. Despite this knowledge, fewer than half of eligible women had been screened for CC. Reasons given for not attending screening can be addressed by programs. To significantly reduce mortality due to CC in Malawi requires a comprehensive health strategy that focuses on prevention, screening and treatment.

Indexed as

Uterine Cervical NeoplasmsAdultEarly Detection of CancerFemaleHealth Knowledge, Attitudes, PracticeHumansMalawiMass ScreeningMiddle AgedSurveys and QuestionnairesBarriersCervical cancerCervical cancer screeningCoverage surveyCross sectional studyHealth behavioursKnowledge and attitudeMalawiPrecancerous lesionsReproductive health

Identifiers

PMID35164716
PMCPMC8842862
OpenAlexW4213024945

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.