ArticleAmerican journal of epidemiology2016
The Development of Extremely Preterm Infants Born to Women Who Had Genitourinary Infections During Pregnancy.
Article in American journal of epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled 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.
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
6 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.
- Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review.Frontiers in artificial intelligence · 2025Pooled it
- A Systematic Review of Magnesium Sulfate for Perinatal Neuroprotection: What Have We Learnt From the Past Decade?Frontiers in neurology · 2020Pooled it
- Beyond TORCH: A narrative review of the impact of antenatal and perinatal infections on the risk of disability.Neuroscience and biobehavioral reviews · 2023Review
- Genetic and epigenetic factors and early life inflammation as predictors of neurodevelopmental outcomes.Seminars in fetal & neonatal medicine · 2020Review
- Neuroinflammation in preterm babies and autism spectrum disorders.Pediatric research · 2019Review
- Extremely low gestational age and very low birthweight for gestational age are risk factors for autism spectrum disorder in a large cohort study of 10-year-old children born at 23-27 weeks' gestation.American journal of obstetrics and gynecology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Gestational genitourinary infections, which have been associated with neurodevelopmental impairments among infants born near term, have not been studied among very preterm infants. The mothers of 989 infants born before 28 weeks of gestation were interviewed about urine, bladder, or kidney infections (UTIs) and cervical or vaginal infections (CVIs) during pregnancy, as well as other exposures and characteristics, and their charts were reviewed for the Extremely Low Gestational Age Newborns (ELGAN) Study (2002-2004). At 2 years of age, these infants underwent a neurodevelopmental assessment. Generalized estimating equation logistic regression models of developmental adversities were used to adjust for potential confounders. Infants born to women who reported a UTI were less likely than were others to have a very low Mental Development Index (adjusted odds ratio = 0.5; 95% confidence interval: 0.3, 0.8), whereas infants born to women who reported a CVI were more likely than others to have a low Psychomotor Development Index (adjusted odds ratio = 1.7; 95% confidence interval: 1.04, 2.7). In this high-risk sample, maternal gestational CVI, but not UTI, was associated with a higher risk of impaired motor development at 2 years of age. The apparent protective effect of UTI might be spurious, reflect confounding due to untreated asymptomatic bacteriuria among women who were not given a diagnosis of UTI, or reflect preconditioning.
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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.