Evidence map›Paper›PMID 35229185›Full record

ArticlePediatric radiology2022

Zika virus congenital microcephaly severity classification and the association of severity with neuropsychomotor development.

Nathalia Bianchini Esper, Alexandre Rosa Franco, Ricardo Bernardi Soder, Rodrigo Cerqueira Bomfim, Magda Lahorgue Nunes, Graciane Radaelli, Katherine Bianchini Esper, Aline Kotoski, Willian Pripp, Felipe Kalil Neto and 6 more

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In one paragraph

Article in Pediatric radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Clinical, Neuroimaging and Video Electroencephalography Findings in Children With Congenital Zika Syndrome: An Analysis From a Neurorehabilitation Centre.International journal of developmental neuroscience : the official journal of the International Society for Developmental Neuroscience · 2026
    Article
  3. Review
  4. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 3 institutions in 2 countries.

Nathalia Bianchini EsperBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Alexandre Rosa FrancoCenter for the Developing Brain, Child Mind Institute, New York, NY, USA.
Ricardo Bernardi SoderBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Rodrigo Cerqueira BomfimImaging Diagnostics - DIRAD, Arthur Ramos Memorial Hospital, Maceió, Brazil.
Magda Lahorgue NunesBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Graciane RadaelliBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Katherine Bianchini EsperSchool of Technology, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Aline KotoskiSchool of Medicine, Neurosciences, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Willian PrippSchool of Technology, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Felipe Kalil NetoBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Luciana Schermann AzambujaBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Nathália Alves MathiasGraduate Program in Pediatrics, School of Medicine, Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Porto Alegre, Brazil.
Danielle Irigoyen da CostaBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Mirna Wetters PortuguezBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Jaderson Costa da CostaBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil. jcc@pucrs.br.
Augusto BuchweitzBrain Institute of Rio Grande do Sul (BraIns), Pontifícia Universidade Católica do Rio Grande do Sul (PUCRS), Avenue Ipiranga, 6690, Building 63, Porto Alegre, 90610-000, Brazil.
Pontifícia Universidade Católica do Rio Grande do Sul · BRInstituto do Cérebro · BRChild Mind Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundZika virus infection during pregnancy is linked to birth defects, most notably microcephaly, which is associated with neurodevelopmental delays.

objectiveThe goals of the study were to propose a method for severity classification of congenital microcephaly based on neuroradiologic findings of MRI scans, and to investigate the association of severity with neuropsychomotor developmental scores. We also propose a semi-automated method for MRI-based severity classification of microcephaly. MATERIALS AND

methodsWe conducted a cross-sectional investigation of 42 infants born with congenital Zika infection. Bayley Scales of Infant and Toddler Development III (Bayley-III) developmental evaluations and MRI scans were carried out at ages 13-39 months (mean: 24.8 months; standard deviation [SD]: 5.8 months). The severity score was generated based on neuroradiologist evaluations of brain malformations. Next, we established a distribution of Zika virus-microcephaly severity score including mild, moderate and severe and investigated the association of severity with neuropsychomotor developmental scores. Finally, we propose a simplified semi-automated procedure for estimating the severity score based only on volumetric measures.

resultsThe results showed a correlation of r=0.89 (P<0.001) between the Zika virus-microcephaly severity score and the semi-automated method. The trimester of infection did not correlate with the semi-automated method. Neuropsychomotor development correlated with the severity classification based on the radiologic readings and semi-automated method; the more severe the imaging scores, the lower the neuropsychomotor developmental scores.

conclusionThese severity classification methods can be used to evaluate severity of microcephaly and possible association with developmental consequences. The semi-automated methods thus provide an alternative for predicting severity of microcephaly based on only one MRI sequence.

Indexed as

MicrocephalyPregnancy Complications, InfectiousZika VirusZika Virus InfectionChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMagnetic Resonance ImagingPregnancyBrainCongenital microcephalyDevelopmentInfantsMagnetic resonance imagingZika virus

Identifiers

PMID35229185
OpenAlexW4214776039

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.