Evidence map›Paper›PMID 40667453›Full record

ArticleHIV/AIDS (Auckland, N.Z.)2025

HIV Infection Among Pregnant Women in a Vietnamese Population: Prevalence and Associated Factors.

Hang Thi Thu Ho, Thuan Hoa Nguyen, Ha Hong Nguyen, Sam Phan Hai Nguyen, Kien Trung Nguyen

Abstract read
In one paragraph

Article in HIV/AIDS (Auckland, N.Z.), 2025. 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

5 authors.

Hang Thi Thu HoVinh Long Department of Health, Vinh Long City, Vietnam.
Thuan Hoa NguyenVinh Long General Hospital, Vinh Long City, Vietnam.
Ha Hong NguyenDepartment of Physiology, Faculty of Medicine, Can Tho University of Medicine and Pharmacy, Can Tho City, Vietnam.
Sam Phan Hai NguyenDepartment of Physiology, Faculty of Medicine, Can Tho University of Medicine and Pharmacy, Can Tho City, Vietnam.
Kien Trung NguyenDepartment of Physiology, Faculty of Medicine, Can Tho University of Medicine and Pharmacy, Can Tho City, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In pregnant women, HIV infection warrants special attention due to the high risk of complications during pregnancy and the increased likelihood of fetal HIV exposure. Consequently, screening for HIV in pregnant women within the community and identifying associated risk factors are essential. Objective: The study aims to investigate the prevalence of HIV infection and the associated risk factors in pregnant women. Materials and Methods: This is a cross-sectional study that utilized convenience sampling and was conducted between 2018 and 2020 at 107 commune health stations, 8 district health centers, and the Obstetrics Department of Vinh Long Provincial General Hospital. Results: A total of 18,034 pregnant women, with a median age of 28 years. Fifty-one cases (0.3%) tested positive for HIV. The risk factors associated with an increased likelihood of HIV infection included having multiple sexual partners, drug addiction, smoking, and engaging in unprotected sex. In the multivariate model, only multiple sexual partners, drug addiction and alcohol consumption were independent factors that significantly increased the risk of HIV infection among pregnant women. Conclusion: The study among pregnant women indicated that the HIV exposure rate within the community is below 1.0%. Unsafe sexual behaviors with multiple partners were identified as the most significant risk factor for HIV exposure among pregnant women.

Indexed as

HIV infectionpregnant womenrisk factors

Identifiers

PMID40667453
PMCPMC12262090

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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.