Meta analysis of the risk factors of recurrent wheezing in infants
Bibliographic record
Abstract
Objective To analyze the relevant risk factors of recurrent wheezing(≥3 attacks) in the first 3 years of life. Methods Wheezing, respiratory sounds, risk factorwere used as key words to retrieve papers in Chinese literature databases including Sinomed, Wanfang and Weipu databases.The same strategy was used to retrieve English papers in English literature databases including PubMed, Cochrane library and EMbase.Time range was from 31th May 2004 to 1rd June 2014.The execution of quality evaluation of the included documents was in compliance with Newcastle-Ottawa Scale and cross-sectional study standard recommended by Agency for Healthcare Research and Quality.The evidence quality evaluation was conducted with GRADEpro and followed by the Meta analysis with RevMan 5.2. Results A total of 13 studies were included in this Meta-analysis.Several factors were related to recurrent wheezing episodes, including risk factors such as maternal smoking during pregnancy (OR=1.47, 95%CI: 1.30-1.66), asthma in parents(OR=1.94, 95%CI: 1.72-2.19), family history of atopy(OR=1.94, 95%CI: 1.72-2.19), male(OR=1.42, 95%CI: 1.19-1.69), history of eczema(OR=2.36, 95%CI: 1.69-3.30), colds(>6 times)(OR=2.02, 95%CI: 1.54-2.64), history of bronchopneumonia(OR=1.85, 95%CI: 1.46-2.34), exposure to cigarette smoking(OR=2.30, 95%CI: 1.68-3.14), daycare attendance(OR=2.27, 95%CI: 1.97-2.60); Education received by the mother >12 years (OR=0.80, 95%CI: 0.70-0.92) was the protective factor. Conclusions The risk factors of recurrent wheezing(≥3 attacks) in the first 3 years of life are maternal smoking during pregnancy, asthma in parents, family history of atopy, male, history of eczema, colds(>6 times), history of bronchopneumonia, exposure to cigarette smoking and daycare attendance.The protective factor is education received by the mother≥12 years.The prerequisite in precaution of infants recurrent wheezing is to ensure the utmost avoidance of hazardous factors and reinforcement of protective factors. Key words: Recurrent wheezing; Risk factor; Infant; Meta analysis
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.029 |
| Meta-epidemiology (narrow) | 0.006 | 0.002 |
| Meta-epidemiology (broad) | 0.024 | 0.068 |
| Bibliometrics | 0.009 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".