249-OR: Growth Trajectories of MiTy Kids' Offspring According to Intrauterine Growth Status
Bibliographic record
Abstract
Background: In the MiTy trial [pregnant T2D randomized to metformin vs. placebo], infants exposed to metformin in-utero had a lower risk of large-for-gestational-age (LGA) but were at higher risk of small-for-gestational-age (SGA) . To date, there are limited data on the effect of in-utero exposure to metformin on infant/child growth in T2D, according to the intrauterine growth status. The MiTy Kids study followed the offspring of MiTy participants to 24 months of age to examine the effect of metformin exposure in-utero on child growth. Aim: Examine the weight and body mass index (BMI) trajectories of children of women with T2D, according to the intrauterine growth status [appropriate for gestational age (AGA) , LGA, and SGA] and metformin exposure. Methods: The study population included offspring of MiTy trial participants. Height and weight measurements were collected at 3, 6, 12, 18 and 24 months of age. Analysis of data was conducted using a fractional polynomial linear mixed effects approach to compare growth trajectories. Results: Of the 283 children who participated in MiTy Kids (46.3% female) , 194 children were AGA at birth (90 metformin and 1placebo) , 65 were LGA (29 metformin and 36 placebo) , and 24 were SGA (16 metformin and 8 placebo) . In children born AGA, both sexes in the metformin arm had a lower weight gain trajectory than those in the placebo group (p=0.008) . Treatment and sex did not have an effect on the growth trajectories of children born LGA. In SGA children, in both sexes, SGA children in the metformin group had a lower weight gain trajectory (p=<0.001) and BMI trajectory (p=0.042) than children in the placebo group, and achieved a lower weight than the WHO growth standard at 24 months. Conclusion: Metformin exposure in-utero was associated with lower weight gain trajectories and BMI trajectories in children of both sexes born SGA and lower weight gain trajectory in AGA children. Further follow-up will determine subsequent growth in these children. Disclosure J. Sanchez: None. J. Hamilton: Advisory Panel; Novo Nordisk Canada Inc. Research Support; Mead Johnson & Company, LLC. G. Tomlinson: None. E. Asztalos: None. K. Murphy: None. B. Zinman: Advisory Panel; Abbott Diabetes, Boehringer Ingelheim International GmbH, Eli Lilly and Company, Merck & Co., Inc., Novo Nordisk Canada Inc., Sanofi K.K. D. Simmons: Research Support; Abbott, Hitachi, Ltd., Novo Nordisk. Speaker's Bureau; Sanofi. Other Relationship; Elsevier. A. Haqq: None. I.G. Fantus: None. A. Armson: None. J.F.R. Barrett: None. L.E. Donovan: Other Relationship; Dexcom, Inc., Inner Analytics, Medtronic, Tandem Diabetes Care, Inc. P. Karanicolas: Research Support; Baxter. Y. Jiang: None. S. Tobin: None. K. Mangoff: None. G. Klein: None. D. Feig: Advisory Panel; Novo Nordisk. Research Support; Apotex. Funding Canadian Institutes of Health Research
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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 | 0.001 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".