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Record W6992052603

Investigating the causal impact of gestational diabetes on youth-onset hypertension in offspring

2024· dissertation· en· W6992052603 on OpenAlexafffund

Bibliographic record

VenueMspace (University of Manitoba) · 2024
Typedissertation
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsUniversity of ManitobaHealth Sciences CentreManitoba Health
FundersChildren's Hospital Research Institute of Manitoba
KeywordsGestational diabetesDiabetes mellitusOffspringIncidence (geometry)EpidemiologyPregnancyType 2 diabetesGestational hypertension
DOInot available

Abstract

fetched live from OpenAlex

Hypertension is the second most common pediatric chronic disease worldwide. Previous work suggests that an individual’s risk for hypertension could begin in utero. Early seminal studies demonstrated a link between exposure to malnutrition in utero and elevated risk for cardiometabolic abnormalities in the offspring. In the 21st century, studies revealed that hyperglycemia, pre-pregnancy diabetes, and gestational diabetes were all associated with markers of offspring cardiovascular health including increased blood pressure. However, it was not clear whether these associations represented a causal effect. Additionally, it is unclear the extent to which trends in gestational diabetes incidence have changed over time. This thesis was designed to fill these knowledge gaps. First, I conducted a descriptive study of gestational diabetes incidence to assess trends over time and among high-risk groups. Second, to investigate the causal impact of gestational diabetes on youth-onset hypertension among offspring, I conducted a triangulation study. Triangulation in epidemiology refers to conducting multiple studies, all designed to assess the same research question, that have differing limitations, risk of bias, and assumptions. For this thesis I conducted (1) an exact-matched study, (2) a negative exposure control study, and (3) a discordant sibling-matched study. Results showed that diagnosis of gestational diabetes has increased markedly over the last several decades with high-risk groups experiencing the highest rates and lower risk groups experiencing the highest increase in rates. Additionally, the evidence suggests that it is unlikely that exposure to gestational diabetes confers a direct independent increased risk for the development of youth-onset hypertension. Collectively, the work completed for this thesis demonstrates the importance of exploring causal factors that may simultaneously contribute to the cause of both elevated gestational diabetes and elevated youth-onset hypertension.

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)0.006
metaresearch head score (Gemma)0.025
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 score0.008
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.034
GPT teacher head0.259
Teacher spread0.224 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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