Association of Maternal Diabetes and ADHD in Offspring: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
A systematic review and meta-analysis was conducted to determine the association between exposure to maternal diabetes and ADHD in the offspring. Major electronic databases, including Web of Science, PubMed, Scopus, Embase, and Proquest, were searched from inception until December 2018. The New Castle-Ottawa scale was used to assess the quality of the included studies. A fixed effects model was applied for analysis. Seven studies including a total of 5,658,871 individuals were retained. A significant association was found between maternal diabetes and ADHD [OR=1.23, 95% CI: 1.117, 1.345]. There was a significant heterogeneity (I^2=77.7, P<0.0001), while Egger’s and Begg’s test were not significant. This study showed a significant relationship between maternal diabetes and ADHD; however, more well-designed studies are needed to confirm the results.
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How this classification was reachedexpand
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".