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Record W3095296804 · doi:10.3389/fped.2020.558000

Neonatal Adverse Outcomes of Induction and Expectant Management in Fetal Growth Restriction: A Systematic Review and Meta-Analysis

2020· review· en· W3095296804 on OpenAlexaboutno aff
Ting Li, Yixiao Wang, Zhijing Miao, Yu Lin, Yu Xiang, Kaipeng Xie, Hongjuan Ding

Bibliographic record

VenueFrontiers in Pediatrics · 2020
Typereview
Languageen
FieldMedicine
TopicBirth, Development, and Health
Canadian institutionsnot available
FundersGovernment of Jiangsu ProvinceNatural Science Foundation of Jiangsu ProvinceNational Natural Science Foundation of China
KeywordsMedicineMeta-analysisFetal growthObstetricsExpectant managementAdverse effectFetusIntrauterine growth restrictionIntensive care medicinePregnancyInternal medicineGestation

Abstract

fetched live from OpenAlex

Background and objective: Fetal growth restriction (FGR) is a pathological condition in which the fetus can not reach its expected growth potential. When it is diagnosed as suspected FGR, it remains an unsolved problem whether to direct induction or continue expectant management. In order to effectively reduce the incidence of neonatal adverse outcomes, we aimed to evaluate the appropriate method in which could have lower incidence of neonatal adverse outcomes. Methods: We searched relevant literatures through PubMed, Web of Science and Cochrane Library from inception to Jan. 10, 2020. We defined induction as experimental group and expectant management as control group. Pooled odds ratios (OR) with 95% confidence intervals (CI) was calculated using random-effects models owing to the heterogeneous. Furthermore, we conducted a sensitivity analysis to explore the robustness of included literature. We use the Newcastle-Ottawa scale (NOS) to evaluate available studies quality. And we applied the funnel plot to describe the publication bias. Also according to the study method, sample size, area, and NOS score to perform a subgroup analysis to further evaluate the significance between induction and expectant management. Results: Our study included a total of 8 articles with 6706 patients, which consisted of 4 randomized controlled trial (RCT), 3 retrospective cohort studies and 1 prospective cohort study. The total pooled OR and 95% CI between the induction group and the expected management group was 1.38 (95% CI, 0.84-2.28) in the random model. The heterogeneity is I2 = 84%, P < 0.01. Sensitivity analysis showed that omitting any one of these studies, the neonatal adverse outcomes in induction vs expectant management still present similar. The funnel plot and linear regression equation showed that was no publication bias in our study (P = 0.75). Subgroup analysis showed that no significant difference was observed in study method, sample size, area, and NOS score (all P > 0.05). Conclusion: Regardless of whether induction or expectant management of FGR, the neonatal adverse outcomes showed no obvious difference. More studies are supposed to conduct, and confounding factors are needed to take into consideration to elucidate the significance of two measures on suspected FGR.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.963
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.321
Teacher spread0.272 · 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

Citations6
Published2020
Admission routes1
Has abstractyes

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