Socio-demographic risk factors of ventilator-associated pneumonia in neonates:A Meta-analysis
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Bibliographic record
Abstract
Objective To provide the evidences for the early-warning strategies of ventilator-associated pneumonia (VAP) in neonates,we systematically reviewed all related studies and analyzed the socio-demographic risk factors of VAP in neonates.Methods We retrieved all related studies in CNKI,Wanfang,VIP,CBM,Pubmed and Embase and evaluated their risk of bias by Newcastle-Ottawa Scale and analyzed all data by Meta-analysis.Results There were 21 case-control studies involving 3 546 neonates and 1 201 VAP patients and 6 socio-demographic risk factors of VAP in neonates being included.The odds ratio of deaths had significant differences between VAP and non VAP group (OR=2.98).Five studies involving 1 031 neonates were included,the average hospitalization days was significantly different between VAP and non-VAP group (MD=9.33).The average gestational age was significandy different between VAP and non-VAP group (MD =-3.05) and the odds ratio of VAP was significantly different between ≤ 37 w group and ＞37 w group (OR=2.62),between 32～37 w group and ＞37 w group (OR=2.37) and between ＜32 w group and 32～37 w group (OR=2.72).Nineteen studies involving 3 238 neonates were included,the average weight was significantly different between VAP and non-VAP group (MD=-0.58) and the odds ratio of VAP was significantly different between＜2.5 kg and ≥2.5 kg group(OR=3.75),between 1.5～2.5 kg and ＞2.5 kg group (OR=2.42) and between ＜1.5 kg and 1.5～2.5 kg group (OR=3.02).Conclusions In neonates,VAP is an important cause of death which prolongs hospitalization and increases economic burden.Our study confirms that the gestational age (≤37 w) and weight(＜2.5 kg) increase the risk of VAP and all neonates with lower weight and smaller gestational age have higher risk of VAP.Therefore,the weight and gestational age are important risk and early-warning factors. Key words: Neonates; Ventilator-associated pneumonia; Socio-demographic risk factors; Meta-analysis
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it