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Temporal Incidence Trends of Pediatric Venous Thromboembolism: A Population-Based Cohort Study

2012· article· en· W2563535457 on OpenAlexaffabout
Christine Sabapathy, Susan R. Kahn, Robert W. Platt, Vicky Tagalakis

Bibliographic record

VenueBlood · 2012
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsMedicineIncidence (geometry)Poisson regressionConfidence intervalRate ratioPopulationPediatricsCohortDemographyRetrospective cohort studyCohort studySurgeryInternal medicineEnvironmental health

Abstract

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Abstract Abstract 1138 Background: Pediatric venous thromboembolism (VTE), although rare, is associated with significant morbidity and mortality. Published incidence rates in this age group vary from 0.07 to 0.49 VTE per 10 000 children/year and there is currently a paucity of studies evaluating temporal incidence trends. Objectives: To describe the age-adjusted incidence rates of pediatric VTE and its trend over time in a large pediatric cohort. Methods: A retrospective cohort of all children (ages 1–17 inclusive) with a first time diagnosis of VTE in the province of Quebec, Canada over an eleven-year period, from January 1st, 1994 to December 31st, 2004, was obtained from a comprehensive administrative hospital database (Med-Echo). Quebec census estimates were used to calculate age-standardized incidence rates (IR) of pediatric VTE. The incidence rate trend was then analyzed over the eleven-year study period using Poisson linear regression. Sex differences in incidence rates at the population level stratified by age group as a confounder as well as baseline characteristics of the cases were also evaluated. Results: In total, 487 incident cases of VTE in children 1–17 years of age were documented during the study period. Based on the estimated provincial census person-years during the study period, the age-standardized IR was 0.29 VTE per 10 000 person-years (95% confidence interval (CI) 0.26–0.31). Females overall had a statistically significant higher VTE incidence rate with an incidence rate ratio of 1.75 (95% CI 1.46–2.11) when controlled for age groups, as compared to males. When analyzed by age group, the age-standardized IRs were as follows: 1–5 year olds 0.04 VTE per 10 000 person-years (95% CI 0.03–0.05); 6–10 year olds 0.03 VTE per 10 000 person-years (95% CI 0.02–0.04); 11–14 year olds 0.06 VTE per 10 000 person-years (95% CI 0.05–0.07); 15–17 year olds 0.16 VTE per 10 000 person-years (95% CI 0.14–0.18). Trend analysis of the age-standardized IRs over the 11-year period showed no significant change in incidence rates whether using time as a continuous (yearly) or categorical variable (time-periods). Conclusions: Pediatric VTE is more frequent than previously described, however the rate is stable. As shown by others, children in their late-teen years have a higher risk of VTE than primary school-aged children. Unlike prior studies, females were more prone to VTE than males. Future studies that address sex differences in the incidence of pediatric VTE are needed to help determine effective primary thromboprophylaxis strategies in children at high risk for VTE. Disclosures: No relevant conflicts of interest to declare.

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 score0.383
Threshold uncertainty score0.761

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.285
Teacher spread0.267 · 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".

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Citations0
Published2012
Admission routes2
Has abstractyes

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