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Record W6992708305

Maternal use of medication and childhood leukemia

2000· dissertation· en· W6992708305 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2000
Typedissertation
Languageen
FieldSocial Sciences
TopicSMEs Development and Digital Marketing
Canadian institutionsnot available
Fundersnot available
KeywordsPregnancyOffspringChildhood leukemiaAcute lymphocytic leukemiaConditional logistic regressionLogistic regressionDrugRelative riskRisk factor
DOInot available

Abstract

fetched live from OpenAlex

This thesis explored the association between maternal use of medication during pregnancy and risk of childhood acute lymphocytic leukemia (ALL); specifically, whether use of antibiotics, analgesics, anti-nauseas and/or illicit drugs were associated with an increased risk of ALL in the offspring. All cases of ALL, aged 0--14, diagnosed in Quebec during the period 1994--1997 were identified and matched to population-based controls by age and sex. With an overall response rate of 87%, this resulted in nearly 160 case-control pairs. Information was obtained from parents via telephone interviews, and analyzed using conditional logistic regression. Overall use of medication did not increase risk of childhood ALL (OR = 1.15, 95% CI = 0.66--1.99). Increased risks were observed for illicit drug use in the year prior to birth (OR = 2.44, 95% CI = 0.66--9.00), and for the offspring of women who used pain medication during delivery (OR = 1.88, 95% CI = 1.05--3.31); however, the latter increase was seen for male children only (OR = 3.43, 95% CI = 1.45--8.10).

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.930
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.017
GPT teacher head0.250
Teacher spread0.233 · 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 teacher head, not a consensus.

Study designOther design
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
Published2000
Admission routes1
Has abstractyes

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