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Record W4309575445 · doi:10.1002/uog.26128

Neonatal and long‐term outcomes of infants with congenital cytomegalovirus infection and negative amniocentesis: systematic review and meta‐analysis

2022· review· en· W4309575445 on OpenAlexaboutno aff
Christos Chatzakis, Alexandros Sotiriadis, Konstantinos Dinas, Y. Ville

Bibliographic record

VenueUltrasound in Obstetrics and Gynecology · 2022
Typereview
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMeta-analysisCytomegalovirusAmniocentesisTerm (time)ObstetricsPediatricsPregnancyFetusHerpesviridaePrenatal diagnosisInternal medicineImmunologyVirusViral disease

Abstract

fetched live from OpenAlex

ABSTRACT Objective Cytomegalovirus (CMV) DNA is detectable in the amniotic fluid collected by amniocentesis in cases in which the fetus has been infected. However, cases of congenital neonatal CMV infection with a negative amniocentesis result have also been reported in the literature. The aim of the present study was to compare pregnancies with a negative amniocentesis result to those with a positive amniocentesis result in terms of incidence of fetal insult and long‐term sequelae. Methods Observational studies that included pregnant women with CMV infection who underwent amniocentesis and that reported their results together with neonatal and/or long‐term outcomes of the offspring were included. The risk of bias in included studies was assessed using the Newcastle–Ottawa Scale. The rate of severe symptoms at birth, defined as neurological symptoms or multiorgan involvement at birth, and the rate of severe sensorineural hearing loss (SNHL) and/or neurodevelopmental impairment at follow‐up were the main outcomes of the study. The secondary outcome was the rate of pregnancy termination due to the presence of CMV‐associated central nervous system (CNS) findings or multiorgan involvement on ultrasound/magnetic resonance imaging (MRI). Results Seven studies were included in the systematic review and meta‐analysis. The pooled false‐negative rate of amniocentesis was 8.0% (95% CI, 5.0–13.0%). The pooled rate of severe symptoms at birth was 0.0% (95% CI, 0.0–1.0%; I2 = 0%) in fetuses with a negative amniocentesis result and 22.0% (95% CI, 11.0–38.0%; I2 = 75%) in those with a positive amniocentesis result. The pooled odds ratio (OR) was 0.03 (95% CI, 0.01–0.10; I2 = 0%). The pooled rate of severe SNHL and/or neurodevelopmental impairment at follow‐up in fetuses with a negative amniocentesis result was 0.0% (95% CI, 0.0–1.0%; I2 = 0%) and, in those with a positive amniocentesis result, it was 14.0% (95% CI, 7.0–26.0%; I2 = 64%). The pooled OR was 0.04 (95% CI, 0.01–0.14; I2 = 0%). The pooled rate of pregnancy termination due to the presence of CMV‐associated CNS findings or multiorgan involvement on ultrasound/MRI was 0.0% (95% CI, 0.0–2.0%; I2 = 0%) in fetuses with a negative amniocentesis result and 20.0% (95% CI, 10.0–36.0%; I2 = 82%) in those with a positive amniocentesis result. The pooled OR was 0.03 (95% CI, 0.01–0.08; I2 = 0%). A subgroup analysis including only pregnancies with primary CMV infection and a sensitivity analysis including only prospective studies were carried out, showing very similar results to those of the main analysis. Conclusion A negative amniocentesis result in pregnant women with CMV infection ensures lack of fetal insult and long‐term sequelae to the child, even if transmission has occurred. © 2022 The Authors. 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)0.007
metaresearch head score (Gemma)0.024
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.024
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.028
Bibliometrics0.0050.006
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.056
GPT teacher head0.347
Teacher spread0.290 · 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

Citations33
Published2022
Admission routes1
Has abstractyes

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