Folic acid supplementation does not decrease stillbirths and congenital malformations in a guide dog colony
Bibliographic record
Abstract
OBJECTIVES: To investigate if maternal folic acid supplementation (5 mg) is associated with a reduction of cleft palates, umbilical hernias, stillbirths and caesarean sections in a guide dog breeding colony. MATERIALS AND METHODS: Labrador retrievers, golden retrievers and Labrador/golden Crosses from the breeding colony of a professional guide dog training organisation were eligible for inclusion. Dams in the treatment group (n = 137) received 5 mg oral folic acid supplementation daily from the start of pro-oestrous through day 40 of gestation. A historical control group (n = 134) was selected from the previous calendar year for comparison. A logistic regression model identified the relative risk of disease (cleft palates, umbilical hernias, stillbirths and caesarean sections) for puppies whose dams did or did not receive folic acid supplementation. RESULTS: A total of 1917 puppies (890 control, 1027 treatment; from 294 litters) were produced during the entire study period, with 994 puppies (494 control, 500 treatment; from 144 litters) born to the subset of dams (n = 72) who produced litters during both the control and treatment periods. All 95% highest posterior densities of relative risk included 1.0, failing to detect differences between the treatment and control groups on incidence rate of cleft palate (control: 2.25%; treatment: 2.34%), umbilical hernias (control: 1.91%; treatment: 3.12%), stillbirths (control: 3.26%; treatment: 2.92%) and caesarean sections (control: 1.45%; treatment: 1.28%). CLINICAL SIGNIFICANCE: There was no observable reduction of cleft palate, umbilical hernia, stillbirth or caesarean section associated with folic acid supplementation during pregnancy in the study colony. For a domestic dog cohort with a low tendency of hereditary malformations, such as this study colony, 5 mg dietary folic acid supplementation should not be expected to drastically improve or eradicate these diseases.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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".