Evidence map›Paper›PMID 37964260›Full record

ArticleBMC public health2023

Prevalence and sociodemographic predictors of high-risk vaginal human papillomavirus infection: findings from a public cervical cancer screening registry.

Anis-Syakira Jailani, Nur Zahirah Balqis-Ali, Kar Foong Tang, Weng Hong Fun, Shazimah Abdul Samad, Rohaidza Jahaya, Nurun Najihah Subakir, Roziah Ismail, Zakiah Mohd Said, Sondi Sararaks

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Article
  5. 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

10 authors at 1 institution in 1 country.

Anis-Syakira Jailani *Centre for Health Outcomes Research, Institute for Health Systems Research, National Institutes of Health, Ministry of Health Malaysia, Block B2, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Bandar Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Nur Zahirah Balqis-Ali *Centre for Health Outcomes Research, Institute for Health Systems Research, National Institutes of Health, Ministry of Health Malaysia, Block B2, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Bandar Setia Alam, Shah Alam, Selangor, 40170, Malaysia. dr.nurbalqis@moh.gov.my.
Kar Foong TangCentre for Health Outcomes Research, Institute for Health Systems Research, National Institutes of Health, Ministry of Health Malaysia, Block B2, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Bandar Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Weng Hong FunCentre for Health Outcomes Research, Institute for Health Systems Research, National Institutes of Health, Ministry of Health Malaysia, Block B2, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Bandar Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Shazimah Abdul SamadFamily Health Section, Family Health Development Division, Ministry of Health, Malaysia, Putrajaya, 62590, Malaysia.
Rohaidza JahayaFamily Health Section, Family Health Development Division, Ministry of Health, Malaysia, Putrajaya, 62590, Malaysia.
Nurun Najihah SubakirFamily Health Section, Family Health Development Division, Ministry of Health, Malaysia, Putrajaya, 62590, Malaysia.
Roziah IsmailFamily Health Section, Family Health Development Division, Ministry of Health, Malaysia, Putrajaya, 62590, Malaysia.
Zakiah Mohd SaidFamily Health Section, Family Health Development Division, Ministry of Health, Malaysia, Putrajaya, 62590, Malaysia.
Sondi SararaksCentre for Health Outcomes Research, Institute for Health Systems Research, National Institutes of Health, Ministry of Health Malaysia, Block B2, No. 1, Jalan Setia Murni U13/52, Seksyen U13 Bandar Setia Alam, Shah Alam, Selangor, 40170, Malaysia.
Ministry of Health · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHigh-risk human papillomavirus (HPV) screening is vital for early cervical cancer detection and treatment. With the introduction of the national cervical cancer screening programme and screening registry in Malaysia, there is a need to monitor population-based HPV screening uptake and high-risk HPV prevalence as part of cervical cancer surveillance.

objectiveTo determine the prevalence and sociodemographic factors predicting high-risk HPV infection in Malaysia based on a public, community-based cervical cancer screening registry targeting women at risk of getting HPV infection.

methodsThe study used data from the Malaysian cervical cancer screening registry established by the Family Health Development Division from 2019 to 2021. The registry recorded sociodemographic data, HPV test details and results of eligible women who underwent HPV screening at public primary healthcare facilities. A vaginal sample (via self-sampling or assisted by a healthcare provider) was used for DNA extraction for HPV detection and genotyping. Registry data were extracted and analysed to determine prevalence estimates of high-risk HPV infection. Multifactorial logistic regression analysis was conducted to determine predictors of high-risk HPV infection. All analyses were performed using Stata version 14.

resultsThe programme screened a total of 36,738 women during the study period. Women who attended the screening programme were mainly from urban areas, aged 30-39 years, and of Malay ethnicity. The prevalence of high-risk HPV infection was 4.53% among women screened, with the yearly prevalence ranging from 4.27 to 4.80%. A higher prevalence was observed among urban settling women, those aged 30-49 years, those of Indian ethnicity, and those without children. The results from logistic regression showed that women from urban areas, lower age groups, of Indian or Chinese ethnicity, and who are self-employed were more likely to be infected with high-risk HPV.

conclusionTargeted and robust strategies to reach identified high-risk groups are needed in Malaysia. In addition, the registry has the potential to be expanded for an improved cervical cancer elimination plan.

trial registrationTrial registration number: NMRR ID-22-00187-DJU.

Indexed as

Papillomavirus InfectionsUterine Cervical NeoplasmsChildEarly Detection of CancerFemaleHuman Papillomavirus VirusesHumansMass ScreeningPapillomaviridaePrevalenceRegistriesVaginal SmearsCervical cancerCommunity-based screeningHPV InfectionHuman papillomavirus (HPV)MalaysiaPrevalence

Identifiers

PMID37964260
PMCPMC10644607
OpenAlexW4388668204

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.