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Record W2908159319 · doi:10.2337/dc18-2021

Hyperglycemia and Adverse Pregnancy Outcome Follow-up Study (HAPO FUS): Maternal Glycemia and Childhood Glucose Metabolism

2019· article· en· W2908159319 on OpenAlexaff
Denise Scholtens, Alan Kuang, Lynn P. Lowe, Jill Hamilton, Jean M. Lawrence, Yael Lebenthal, Wendy J. Brickman, Peter Clayton, Ronald C.W., David R. McCance, Wing Hung Tam, Patrick M. Catalano, Barbara Linder, Alan R. Dyer, William L. Lowe, Boyd E. Metzger, Chaicharn Deerochanawong, Thadchanan Tanaphonpoonsuk, Sukeeta Binratkaew Uraiwan Chotigeat, Wanee Manyam, Martinette Forde, André Greenidge, Kathleen Neblett, Paula Michele Lashley, Desiree Walcott, Katie Corry, Loraine Francis, Jo-anne Irwin, Anne Langan, Maureen Mousavi, Ian Young, Jennifer Gutierrez, Jennifer Jimenez, David A. Sacks, Harpreet S. Takhar, Elizabeth Tanton, Jennifer Howard, Jami L. Josefson, Lauren A. Miller, Jacqui Bjaloncik, Ajuah Davis, Michaela B. Koontz, Larraine Presley, Shoi Smith, Amanda Tyhulski, Albert Martin Li, Risa Ozaki, Michelle S. Wong, Cindy Siu Man Yuen, Aysha Habib Khan, Avni Vyas, Michael Maresh, Hadasse Benzaquen, Naama Glickman, Alona Hamou, Orna Hermon, Orit Horesh, Yael Keren, Shlomit Shalitin, Kristina Cordeiro, Hahn Y. Nguyen, Shawna Steele, Fei Chen, Wenyu Huang, M. Ángeles Jiménez, Michael Nodzenski, Anna C. Reisetter, Octavious Talbot, Paul Yim, David B. Dunger, Alicia Thomas, Mary Horlick, Aynur Ünalp–Arida, Gilman D. Grave

Bibliographic record

VenueDiabetes Care · 2019
Typearticle
Languageen
FieldMedicine
TopicGestational Diabetes Research and Management
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
FundersNational Center for Advancing Translational SciencesEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute for Health and Care Research
KeywordsMedicineDiabetes mellitusPregnancyCarbohydrate metabolismEndocrinologyAdverse effectOutcome (game theory)Internal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: This study examined associations of maternal glycemia during pregnancy with childhood glucose outcomes in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) cohort. RESEARCH DESIGN AND METHODS: HAPO was an observational international investigation that established associations of maternal glucose with adverse perinatal outcomes. The HAPO Follow-up Study included 4,832 children ages 10-14 years whose mothers had a 75-g oral glucose tolerance test (OGTT) at ∼28 weeks of gestation. Of these, 4,160 children were evaluated for glucose outcomes. Primary outcomes were child impaired glucose tolerance (IGT) and impaired fasting glucose (IFG). Additional outcomes were glucose-related measures using plasma glucose (PG), A1C, and C-peptide from the child OGTT. RESULTS: Maternal fasting plasma glucose (FPG) was positively associated with child FPG and A1C; maternal 1-h and 2-h PG were positively associated with child fasting, 30 min, 1-h, and 2-h PG, and A1C. Maternal FPG, 1-h, and 2-h PG were inversely associated with insulin sensitivity, whereas 1-h and 2-h PG were inversely associated with disposition index. Maternal FPG, but not 1-h or 2-h PG, was associated with child IFG, and maternal 1-h and 2-h PG, but not FPG, were associated with child IGT. All associations were independent of maternal and child BMI. Across increasing categories of maternal glucose, frequencies of child IFG and IGT, and timed PG measures and A1C were higher, whereas insulin sensitivity and disposition index decreased. CONCLUSIONS: Across the maternal glucose spectrum, exposure to higher levels in utero is significantly associated with childhood glucose and insulin resistance independent of maternal and childhood BMI and family history of diabetes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.009
GPT teacher head0.257
Teacher spread0.248 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations308
Published2019
Admission routes1
Has abstractyes

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