ArticleCurrent HIV research2024
Does Maternal HIV Infection Affect Neonatal Outcomes?
Article in Current HIV research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- Visualizing and Analyzing Global Trends and Frontier Research in HIV Reservoirs: A Bibliometric Study from 1994 to 2023.Current HIV research · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPregnancy among women infected with HIV is classified as a high-risk pregnancy. While previous research has indicated an elevated likelihood of preterm birth, low birth weight, and early gestational age in infants born to mothers with HIV, the correlation between maternal HIV infection and different neonatal results remains unclear.
objectiveThis study aims to investigate the impact of maternal HIV infection on after-birth neonatal outcomes using machine learning (ML) and statistical methods.
methodsA case-control study is conducted through a three-stage process: Initially, the outcomes among newborns from HIV-positive mothers are identified through a combination of literature review and expert survey. Subsequently, data are paired at a 1:2 ratio based on gestational age with infants from HIV-positive mothers (n=48) compared to HIV-negative mothers (n=96) as the control group. Finally, filter, wrapper and embedded based feature selection techniques are applied to identify outcomes that exhibit significant differences between the two groups. feature selection techniques are applied to identify outcomes that exhibit significant differences between the two groups. OUTCOMES:
resultsThe statistical analysis showed that the rate of addiction among HIV-positive mothers is higher than that of the HIV-negative group. The need for mechanical ventilation and duration of ventilator-assisted breathing in infants born to HIV-positive mothers are significantly higher than in infants born to HIV-negative mothers. Moreover, based on feature selection methods, increasing the need for mechanical ventilation and reducing surfactant administration were two important outcomes.
conclusionTo investigate the impact of maternal HIV infection on neonatal outcomes, various statistical and machine learning-based feature selection techniques were implemented, and the results showed that the presented methods can be utilized to examine the potential impacts of different diseases contracted by the mother on the infant.
Indexed as
Identifiers
39171478What 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.