ArticleAlcoholism, clinical and experimental research2020
Phosphatidylethanol Levels in Postpartum Women and Their Newborns in Uruguay and Brazil.
Article in Alcoholism, clinical and experimental research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 10 citations in OpenAlex.
- Effects of Maternal HIV Infection and Alcohol Use in Pregnancy on Birth Outcomes in Uganda.AIDS and behavior · 2024Article
- The interaction of genetic sex and prenatal alcohol exposure on health across the lifespan.Frontiers in neuroendocrinology · 2023Review
- Vascular Contributions to the Neurobiological Effects of Prenatal Alcohol Exposure.Advances in drug and alcohol research · 2023Article
- Assessing the sensitivity and specificity of phosphatidylethanol (PEth) cutoffs to identify alcohol exposed pregnancies.Current research in toxicology · 2023Article
- Phosphatidylethanol in Maternal or Neonatal Blood to Detect Alcohol Exposure during Pregnancy: A Systematic Review.Life (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 7 institutions in 3 countries.
Funding
Abstract
backgroundThere is increasing interest in the development of newborn screening tests to identify children at risk of fetal alcohol spectrum disorder (FASD) in order to provide these children with early intervention. Phosphatidylethanol (PEth) has emerged as a potential universal newborn screening candidate.
methodsThe aim of this report was to present the results of a study designed to compare PEth levels in 1,140 postpartum women and their newborn infants in Montevideo, Uruguay, and Sao Paulo, Brazil. Self-report alcohol use during pregnancy data was collected, along with both maternal and newborn dried blood spot samples for PEth analysis.
resultsThe average age and parity of the women in the sample were 26 years of age and 2.3 pregnancies. For the Uruguay sample (n = 611), 45.8% of postpartum women had PEth levels ≥ 8 ng/ml with a mean positive PEth of 43.6 ng/ml. In contrast, 86.8% of the newborns had PEth levels ≥ 8 ng/ml, with a mean positive PEth of 77.4 ng/ml. For the Brazil sample (n = 529), 33.2% of women had PEth levels ≥ 8 ng/ml with a mean positive PEth of 31 ng/ml. In contrast, 76.9% of the Brazil newborns had PEth levels ≥ 8 ng/ml and 43.9% with a mean positive PEth of 61.1 ng/ml. PEth levels were significantly higher in newborns compared with their postpartum mothers in both the Uruguay and Brazil samples. Self-reported third-trimester alcohol was 6% in the Uruguay sample and 9.1% in the Brazil sample compared with positive maternal PEth levels in 45.8% and 33.2%, respectively.
conclusionsClinicians may want to consider newborn PEth screening in high-risk populations where prenatal alcohol use is common. The mechanism underlying significantly higher PEth levels in newborns compared with their mothers is not known.
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.