Evidence map›Paper›PMID 36647066›Full record

ArticleBMC women's health2023

Awareness of cervical cancer and its associated socio-demographic factors among Yemeni immigrant women in Malaysia.

Meram Azzani, Eshrak Ba-Alawi, Wahib Mohammed Atroosh, Hematram Yadav

Abstract read
In one paragraph

Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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.

Meram AzzaniDepartment of Public Health Medicine, Faculty of Medicine, Universiti Teknologi MARA, Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia. dr_memeazzani@yahoo.com.
Eshrak Ba-AlawiDepartment of Community Medicine, Faculty of Medicine, MAHSA University, Saujana Putra Campus, 42610, Jenjarum, Selangor, Malaysia.
Wahib Mohammed AtrooshDepartment of Parasitology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Hematram YadavDepartment of Community Medicine, Faculty of Medicine, MAHSA University, Saujana Putra Campus, 42610, Jenjarum, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundStudies have revealed that a higher proportion of women affected by cervical cancer are from some minority groups of immigrant women. Hence, this study was conducted to assess Yemeni immigrant women's awareness of cervical cancer and its associated socio-demographic factors.

methodsA cross-sectional study was conducted among 370 Yemeni women in Selangor and Kuala Lumpur, Malaysia. Data on the awareness of symptoms/signs, risk factors, and screening programme were collected using Cervical Cancer Awareness Measurement (Cervical CAM) questionnaire.

resultsMore than 74% of the study participants were unable to recall any warning symptoms/signs, and 73% were unable to recall any risk factors. The factors associated with the awareness of symptoms and risk factors were age (95% CI 4.22-5.22, p = 0.039), marital status (95% CI 4.05-7.87, p = 0.021), employment (95% CI 3.89-5.77, p = 0.046) and the number of children (95% CI 5.33-6.54, p = 0.041).

conclusionThe findings underline the need for public awareness campaigns to improve public awareness of cancer symptoms and risk factors among underserved communities.

Indexed as

Emigrants and ImmigrantsUterine Cervical NeoplasmsChildCross-Sectional StudiesEarly Detection of CancerFemaleHealth Knowledge, Attitudes, PracticeHumansMalaysiaMarital StatusSurveys and QuestionnairesCervical cancerImmigrant womenMalaysiaSocio-demographic factors

Identifiers

PMID36647066
PMCPMC9841630

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.