Alarming Prevalence of Fetal Alcohol Exposure in a Mediterranean City
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The prevalence of gestational ethanol exposure and subsequent fetal exposure has been assessed in a cohort of mother-infant dyads in a Mediterranean city (Barcelona, Spain) by meconium analysis of fatty acid ethyl esters (FAEEs) after showing in this population a high prevalence of meconium opiates (8.7%), cocaine (4.4%), and cannabis (5.3%). Of the 353 meconium samples analyzed for FAEEs, 159 (45%) contained a total amount of seven FAEEs equal or above 2 nmol/g meconium, the cutoff internationally accepted to differentiate heavy maternal alcohol consumption during pregnancy from occasional use or no use at all. No parental sociodemographic differences or maternal features differentiated exposed from unexposed newborns. The prevalence of gestational consumption of ethanol was similar between women using and not using drugs of abuse during pregnancy (45.7% and 44.7% of samples with total FAEEs equal or higher than 2 nmol/g meconium, respectively). Meconium samples from newborns exposed in utero to ethanol, and positive for at least one illicit drug (cocaine, opiates, or cannabis), had total FAEEs and five of nine individual FAEEs statistically higher than the meconium samples that were negative for the most frequently used illicit drugs of abuse. Among the most prevalent FAEEs, oleic acid ethyl ester showed the best correlation to total FAEE concentration followed by palmitoleic acid ethyl ester . This study, which highlights a 45% ethanol consumption during pregnancy in a low socioeconomic status cohort, may serve as an eye opener for Europeans that gestational alcohol exposure is not endemic only in areas outside of Europe.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it