Cargando…

Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis

OBJECTIVE: The aim of this study was to assess the accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome. DATA SOURCES: Medline (via Pubmed), PubMed, Scopus, Web of Science, and Google Scholar from inception to March 2022. Two researchers independently screened study titles and...

Descripción completa

Detalles Bibliográficos
Autores principales: Herrera, Tania T., Cubilla-Batista, Idalina, Goodridge, Amador, Pereira, Tiago V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556817/
https://www.ncbi.nlm.nih.gov/pubmed/36250095
http://dx.doi.org/10.3389/fmed.2022.962765
_version_ 1784807157376483328
author Herrera, Tania T.
Cubilla-Batista, Idalina
Goodridge, Amador
Pereira, Tiago V.
author_facet Herrera, Tania T.
Cubilla-Batista, Idalina
Goodridge, Amador
Pereira, Tiago V.
author_sort Herrera, Tania T.
collection PubMed
description OBJECTIVE: The aim of this study was to assess the accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome. DATA SOURCES: Medline (via Pubmed), PubMed, Scopus, Web of Science, and Google Scholar from inception to March 2022. Two researchers independently screened study titles and abstracts for eligibility. STUDY ELIGIBILITY CRITERIA: Observational studies with Zika virus-infected pregnant women were included. The index tests included ultrasound and/or magnetic resonance imaging. The reference standard included (1) Zika infection-related perinatal death, stillbirth, and neonatal death within the first 48 h of birth, (2) neonatal intensive care unit admission, and (3) clinically defined adverse perinatal outcomes. SYNTHESIS METHODS: We extracted 2 × 2 contingency tables. Pooled sensitivity and specificity were estimated using the random-effects bivariate model and assessed the summary receiver operating characteristic (ROC) curve. Risk of bias was assessed using QUADAS 2 tool. The certainty of the evidence was evaluated with grading of recommendations. RESULTS: We screened 1,459 references and included 18 studies (2359 pregnant women, 347 fetuses with confirmed Zika virus infection). Twelve studies (67%) were prospective cohorts/case series, and six (37%) were retrospective cohort/case series investigations. Fourteen studies (78%) were performed in endemic regions. Ten studies (56%) used prenatal ultrasound only, six (33%) employed ultrasound and fetal MRI, and two studies (11%) used prenatal ultrasound and postnatal fetal MRI. A total of six studies (ultrasound only) encompassing 780 pregnant women (122 fetuses with confirmed Zika virus infection) reported relevant data for meta-analysis (gestation age at which ultrasound imagining was captured ranged from 16 to 34 weeks). There was large heterogeneity across studies regarding sensitivity (range: 12 to 100%) and specificity (range: 50 to 100%). Under a random-effects model, the summary sensitivity of ultrasound was 82% (95% CI, 19 to 99%), and the summary specificity was 97% (71 to 100%). The area under the ROC curve was 97% (95% CI, 72 to 100%), and the summary diagnostic odds ratio was 140 (95% CI, 3 to 7564, P < 0.001). The overall certainty of the evidence was “very low”. CONCLUSION: Ultrasound may be useful in improving the diagnostic accuracy of Zika virus infection in pregnancy. However, the evidence is still substantially uncertain due to the methodological limitations of the available studies. Larger, properly conducted diagnostic accuracy studies of prenatal imaging for the diagnosis of congenital Zika syndrome are warranted. SYSTEMATIC REVIEW REGISTRATION: Identifier [CRD42020162914].
format Online
Article
Text
id pubmed-9556817
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-95568172022-10-14 Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis Herrera, Tania T. Cubilla-Batista, Idalina Goodridge, Amador Pereira, Tiago V. Front Med (Lausanne) Medicine OBJECTIVE: The aim of this study was to assess the accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome. DATA SOURCES: Medline (via Pubmed), PubMed, Scopus, Web of Science, and Google Scholar from inception to March 2022. Two researchers independently screened study titles and abstracts for eligibility. STUDY ELIGIBILITY CRITERIA: Observational studies with Zika virus-infected pregnant women were included. The index tests included ultrasound and/or magnetic resonance imaging. The reference standard included (1) Zika infection-related perinatal death, stillbirth, and neonatal death within the first 48 h of birth, (2) neonatal intensive care unit admission, and (3) clinically defined adverse perinatal outcomes. SYNTHESIS METHODS: We extracted 2 × 2 contingency tables. Pooled sensitivity and specificity were estimated using the random-effects bivariate model and assessed the summary receiver operating characteristic (ROC) curve. Risk of bias was assessed using QUADAS 2 tool. The certainty of the evidence was evaluated with grading of recommendations. RESULTS: We screened 1,459 references and included 18 studies (2359 pregnant women, 347 fetuses with confirmed Zika virus infection). Twelve studies (67%) were prospective cohorts/case series, and six (37%) were retrospective cohort/case series investigations. Fourteen studies (78%) were performed in endemic regions. Ten studies (56%) used prenatal ultrasound only, six (33%) employed ultrasound and fetal MRI, and two studies (11%) used prenatal ultrasound and postnatal fetal MRI. A total of six studies (ultrasound only) encompassing 780 pregnant women (122 fetuses with confirmed Zika virus infection) reported relevant data for meta-analysis (gestation age at which ultrasound imagining was captured ranged from 16 to 34 weeks). There was large heterogeneity across studies regarding sensitivity (range: 12 to 100%) and specificity (range: 50 to 100%). Under a random-effects model, the summary sensitivity of ultrasound was 82% (95% CI, 19 to 99%), and the summary specificity was 97% (71 to 100%). The area under the ROC curve was 97% (95% CI, 72 to 100%), and the summary diagnostic odds ratio was 140 (95% CI, 3 to 7564, P < 0.001). The overall certainty of the evidence was “very low”. CONCLUSION: Ultrasound may be useful in improving the diagnostic accuracy of Zika virus infection in pregnancy. However, the evidence is still substantially uncertain due to the methodological limitations of the available studies. Larger, properly conducted diagnostic accuracy studies of prenatal imaging for the diagnosis of congenital Zika syndrome are warranted. SYSTEMATIC REVIEW REGISTRATION: Identifier [CRD42020162914]. Frontiers Media S.A. 2022-09-29 /pmc/articles/PMC9556817/ /pubmed/36250095 http://dx.doi.org/10.3389/fmed.2022.962765 Text en Copyright © 2022 Herrera, Cubilla-Batista, Goodridge and Pereira. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Medicine
Herrera, Tania T.
Cubilla-Batista, Idalina
Goodridge, Amador
Pereira, Tiago V.
Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis
title Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis
title_full Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis
title_fullStr Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis
title_full_unstemmed Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis
title_short Diagnostic accuracy of prenatal imaging for the diagnosis of congenital Zika syndrome: Systematic review and meta-analysis
title_sort diagnostic accuracy of prenatal imaging for the diagnosis of congenital zika syndrome: systematic review and meta-analysis
topic Medicine
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9556817/
https://www.ncbi.nlm.nih.gov/pubmed/36250095
http://dx.doi.org/10.3389/fmed.2022.962765
work_keys_str_mv AT herrerataniat diagnosticaccuracyofprenatalimagingforthediagnosisofcongenitalzikasyndromesystematicreviewandmetaanalysis
AT cubillabatistaidalina diagnosticaccuracyofprenatalimagingforthediagnosisofcongenitalzikasyndromesystematicreviewandmetaanalysis
AT goodridgeamador diagnosticaccuracyofprenatalimagingforthediagnosisofcongenitalzikasyndromesystematicreviewandmetaanalysis
AT pereiratiagov diagnosticaccuracyofprenatalimagingforthediagnosisofcongenitalzikasyndromesystematicreviewandmetaanalysis