Lack of Risk of Adverse Birth Outcomes After Deworming in Pregnant Women
Bibliographic record
Abstract
BACKGROUND: Pregnant women who live in hookworm-endemic areas may benefit from deworming during their pregnancy. The benefit derives from reducing anemia, primarily iron-deficiency anemia caused by hookworm infection-attributable blood loss. Where the prevalence of hookworm is more than 20% to 30%, the World Health Organization recommends that pregnant women receive anthelminthic treatment (mebendazole, albendazole, levamisole or pyrantel) after their first trimester. The objective of this study is to report, describe and compare the occurrence of adverse birth outcomes in a large randomized, controlled trial of antenatal mebendazole (500 mg single dose) plus iron supplements versus placebo plus iron supplements conducted between April 2003 and June 2004 in the Amazon region of Peru. METHODS: Physician-recorded data on adverse birth outcomes occurring during the trial (N = 1042) were obtained. Proportions were compared using chi analysis. RESULTS: No statistically significant difference (P = 0.664) was found between the mebendazole group and the placebo group in terms of numbers of miscarriages, malformations, stillbirths, early neonatal deaths and premature babies (28 versus 31, respectively). CONCLUSIONS: The evidence provided by this large randomized, controlled trial of mebendazole administered during pregnancy indicates that deworming with mebendazole can be safely included in antenatal care programs in hookworm-endemic areas.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".