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Record W4240699104 · doi:10.21203/rs.3.rs-661481/v1

Risk Factors of Early-Onset Neonatal Sepsis A Systematic Review and Meta-Analysis

2021· review· en· W4240699104 on OpenAlexaboutno aff
Qiang Wang, Guoxuan Peng, Lebin Gan, Jianhui Sun, Dalin Wen, Siyuan Huang, Jin Deng, Ling Zeng

Bibliographic record

VenueResearch Square · 2021
Typereview
Languageen
FieldMedicine
TopicNeonatal and Maternal Infections
Canadian institutionsnot available
FundersDepartment of Health of Guizhou ProvinceNational Natural Science Foundation of China
KeywordsMedicineSepsisNeonatal sepsisChorioamnionitisGestational ageMeta-analysisCochrane LibraryRupture of membranesPediatricsPremature rupture of membranesNeonatal resuscitationObstetricsPregnancyInternal medicineEmergency medicineResuscitation

Abstract

fetched live from OpenAlex

Abstract Background: Early-onset neonatal sepsis is a great managerial challenge worldwide. Studying the risk factors of early-onset neonatal sepsis is one of the most significant ways of reducing the incidence of sepsis and the associated health burden. Methods: A literature search strategy was constructed, including PubMed, EMBASE, Web of Science, and the Cochrane Library. All publications until April 30, 2021 were retrieved; the key words were “neonatal sepsis” and “risk factors.” Moreover, the references of the retrieved articles were screened to identify related eligible studies. Data abstraction was performed in accordance with PRISMA guidelines. The Newcastle-Ottawa Scale and Agency for Healthcare Research and Quality scale scores were used to evaluate the quality of the included studies, and the fixed-effects model was used to combine the results. Risk factors related to the occurrence of early-onset neonatal sepsis, the pooled OR, and the 95% CI upper and lower limits were obtained to represent the correlation strength between risk factors and early-onset neonatal sepsis occurrence; the pooled I 2 value was used to determine the heterogeneity of the combined results. Results: We included 21 articles with 44 non-repetitive risk factors, 91985 neonates, and 6627 cases of neonatal sepsis. We identified seven independent risk factors of early-onset neonatal sepsis, including at least three per vaginal examinations during labor and delivery, chorioamnionitis, premature rupture of membranes > 18 h, male fetus, gestational age < 37 weeks, neonatal resuscitation, and central venous catheterization, with the following ORs and 95% CIs: 7.18 (3.51-14.69), 6.56 (3.19-13.49), 2.74 (1.44-5.21), 3.03 (1.94-4.73), 4.08 (2.76-6.03), 2.6 (2.03-3.34), and 3.06 (1.64-5.73), respectively. Conclusions: Our results suggest that frequent per vaginal examination during labor and delivery, chorioamnionitis, premature rupture of membranes (> 18 h), male fetus, gestational age (< 37 weeks), neonatal resuscitation, and central vascular catheterization are independent risk factors of early-onset neonatal sepsis. These findings support the use of empirical antibiotic therapy in neonates with these risk factors.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.725
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0100.005
Bibliometrics0.0010.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.201
GPT teacher head0.477
Teacher spread0.277 · 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 designMeta-analysis
Domainnot available
GenreReview

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
Published2021
Admission routes1
Has abstractyes

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