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Record W4412572492 · doi:10.1002/uog.29286

Association between borderline amniotic fluid levels and adverse perinatal outcome: systematic review and meta‐analysis

2025· review· en· W4412572492 on OpenAlexaboutno aff
Inshirah Sgayer, Rajarshi Kayal, Nadir Ganem, M. Wolf, L. Löwenstein, Marwan Odeh

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2025
Typereview
Languageen
FieldMedicine
TopicPregnancy and preeclampsia studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOligohydramniosObstetricsAmniotic fluid indexFetal distressMeconiumOdds ratioApgar scoreMeta-analysisNeonatal intensive care unitAmniotic fluidPregnancyGynecologyBirth weightFetusPediatricsInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVES: The aim of the present study was to evaluate adverse perinatal outcomes in low-risk singleton pregnancies with borderline oligohydramnios. METHODS: A comprehensive literature search was conducted for observational cohort studies that compared perinatal outcomes in low-risk singleton pregnancies between those with borderline oligohydramnios, defined as an amniotic fluid index (AFI) of 5.1-8.0 cm, and those with a normal AFI. EMBASE, MEDLINE and Web of Science databases were searched for studies published from inception to July 2024. The quality of the studies was assessed using the Newcastle-Ottawa Scale. Meta-analyses were performed using a random-effects model to calculate pooled proportions and 95% CIs for each outcome in both groups. The outcomes assessed included overall Cesarean delivery (CD), CD owing to fetal distress, 5-min Apgar score < 7, low birth weight (LBW), admission to the neonatal intensive care unit (NICU), meconium-stained amniotic fluid, meconium aspiration syndrome, non-reassuring fetal heart rate during labor, operative vaginal delivery and neonatal death. RESULTS: The search yielded 6902 results, of which eight met the inclusion criteria for the meta-analysis. From these eight studies, 799 singleton pregnancies with borderline oligohydramnios and 1512 singleton pregnancies with normal AFI were analyzed. Analysis revealed an association of borderline oligohydramnios with increased risks of overall CD (odds ratio (OR), 2.20 (95% CI, 1.70-2.84); P < 0.01), CD owing to fetal distress (OR, 2.70 (95% CI, 1.70-4.30); P < 0.01), 5-min Apgar score < 7 (OR, 2.18 (95% CI, 1.38-3.44); P < 0.01), LBW (OR, 2.32 (95% CI, 1.27-4.25); P < 0.01) and NICU admission (OR, 2.63 (95% CI, 1.63-4.24); P < 0.01), compared with normal AFI. A sensitivity analysis that included only term pregnancies revealed significantly higher risks of overall CD, CD owing to fetal distress, LBW and NICU admission in those with borderline oligohydramnios compared to those with normal AFI. Among the pregnancies in which AFI was measured within 1 week before delivery, the risks of overall CD and CD owing to fetal distress were significantly higher. CONCLUSIONS: We report an association of borderline oligohydramnios with adverse perinatal outcomes among low-risk singleton pregnancies. The increased risks of these perinatal outcomes highlight the need for more frequent monitoring in pregnancies with borderline oligohydramnios. Further research is required to understand the potential benefits and risks of early labor induction and to develop specific guidelines for managing borderline oligohydramnios. © 2025 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.

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)0.009
metaresearch head score (Gemma)0.026
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.026
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.027
Bibliometrics0.0050.007
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.347
Teacher spread0.293 · 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 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
Published2025
Admission routes1
Has abstractyes

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