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Record W2013347502 · doi:10.1089/pai.2005.18.201

Birth Cohort Studies on Asthma Development

2005· article· en· W2013347502 on OpenAlexaboutno aff
Tanja Maas, Edward Dompeling, Constant P. van Schayck, Jean Muris, H.J.A.M. Schönberger, Geertjan Wesseling, Thomas A.E. Platts‐Mills, J. André Knottnerus

Bibliographic record

VenuePediatric Asthma Allergy & Immunology · 2005
Typearticle
Languageen
FieldMedicine
TopicAsthma and respiratory diseases
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaMedicineCohortCohort studyEnvironmental healthProspective cohort studyTobacco smokeClinical study designHouse dust miteRandomized controlled trialPediatricsClinical trialAllergenAllergyImmunologyInternal medicine

Abstract

fetched live from OpenAlex

In past decades the prevalence of asthma in children has increased substantially but this trend seems not to have persisted into the twenty-first century. What might have caused the increased prevalence is not well understood. With the expectation that the prevalence may be decreased by reducing exposure to environmental factors, several birth cohort studies are being (or have been) carried out all over the world. Although many studies are still ongoing, decisions on data gathered by these studies will be of great importance for clinical practice. An overview of designs of available studies will be essential in constructing a metaanalysis. We describe the similarities and differences between designs and variable sets of birth cohort studies focusing on the relationship between allergen exposure (solely or in combination with other environmental exposures) and development of childhood asthma. We also evaluate which studies are particularly qualified for inclusion in a meta-analysis relating asthma prevention to environmental exposures. Ongoing birth cohort studies on allergen exposure (solely or in combination with other environmental exposures) in relation to asthma development in children were identified and all available information on study designs was collected and compared. From the 19 studies selected, 13 are prospective cohort studies and 6 are randomized clinical trials (RCTs). All 6 RCTs included children during prenatal life whereas all but 5 prospective cohort studies started after birth. The exposures that almost all studies focus on are house dust mite (HDM) allergens, pet allergens, food allergens, and environmental tobacco smoke (ETS). We concluded that RCTs are the best candidates for inclusion in a meta-analysis (an individual subject data analysis) in the future. Four RCTs we evaluated as being particularly suitable for inclusion in a meta-analysis on the basis of similarities in their study designs: the Isle of Wight Study, the Canadian Allergy and Asthma Project (CAAP), the CAPS Study, and the PREVASC Project. Of these four all recommend multifaceted interventions, and differences in their designs are expected to be overcome by stratification and restriction to homogeneous clusters. (Pediatr Asthma Allergy Immunol 2005; 18[4]:201–215.)

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)0.045
metaresearch head score (Gemma)0.128
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: none
Teacher disagreement score0.045
Threshold uncertainty score0.236

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0450.128
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.019
Bibliometrics0.0050.008
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.015
GPT teacher head0.272
Teacher spread0.257 · 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

Citations6
Published2005
Admission routes1
Has abstractyes

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