ArticleTropical medicine and infectious disease2022
Testing for HIV Increases the Odds of Correct Fetal Ultrasound Result.
Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed, 3 citations in OpenAlex.
- Knowledge and Awareness of Risk Factors for HIV Infection and about HIV Testing among Medical Students in Warsaw.Viruses · 2024Article
- Editorial for the Special Issue-'HIV Testing, Prevention, and Care Cascade'.Tropical medicine and infectious disease · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Introduction: Infectious diseases during pregnancy may pose a threat to both mother and the developing fetus. It also creates an opportunity to screen for diseases being widely underdiagnosed among women in Poland, such as human immunodeficiency virus (HIV) or sexually transmitted infections (STI). Therefore, we aimed to assess the number of pregnant women that had not been tested for HIV despite the recommendations. In addition, a comparison of clinical evaluation between HIV-tested and non-tested pregnant women was also performed. Material and methods: Medical records of all consecutive pregnant women, referred to our Infectious Diseases Hospital between September 2019 and March 2020 were retrospectively analyzed. Implementation of recommended screening testing towards infectious diseases during pregnancy including human immunodeficiency virus (HIV), hepatitis B virus (HBV), hepatitis C virus (HCV), cytomegalovirus (CMV), syphilis, and rubella, were also analyzed. Results: Medical records of 273 women were included in the analysis. The median age was 32 years (interquartile range: 26−33 years). In total 243/273 (89.0%) had been tested for HIV as recommended, and the remaining 30/273 (11.0%) had not been tested. HIV infection was not confirmed in any of the participants. Only one woman within the HIV non-tested group had been correctly tested towards other infections during her pregnancy. The recommended full testing was more likely to be correctly implemented in women who had also been tested for HIV (171/243, 70.4% vs. 1/30, 3.3%, OR 68.9; 95% CI 9.2−515.3, p < 0.00001). Moreover, the correct fetal ultrasound result was more likely to be obtained in women who had been tested for HIV as recommended (234/243, 96.3% vs. 11/30, 36.7%, OR 44.9; 95% CI 16.6−121.8, p < 0.00001). Conclusions: Despite the law regulations, 11% of pregnant women referred to consultations to the infectious diseases center had not been tested for HIV. At the same time, correct fetal ultrasound results are more likely to occur in women tested for HIV according to recommendations. This suggests that a holistic approach to screening, both for communicable and non-communicable diseases, among pregnant women may translate to better pregnancy outcomes.
Indexed as
Identifiers
What OpenQuestion holds
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.