Evidence map›Paper›PMID 34556963›Full record

ArticleAnnals of neurosciences2020

The Spectrum of Congenital Central Nervous System Anomalies Among Stillborn: An Autopsy Based Study.

S P Vinutha, D Narayanappa, G V Manjunath, M S Sujatha, M C Sapna Patel, Deepa Bhat

Open access · diamondAbstract read
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Article in Annals of neurosciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact, top 77% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 4 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

S P VinuthaDepartment of Anatomy, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.ORCID https://orcid.org/0000-0002-6993-6566
D NarayanappaDepartment of Pediatrics, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
G V ManjunathDepartment of Pathology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
M S SujathaDepartment of Obstetrics and Gynecology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
M C Sapna PatelDepartment of Pathology, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
Deepa BhatDepartment of Anatomy, JSS Medical College, JSS Academy of Higher Education and Research, Mysuru, Karnataka, India.
JSS Academy of Higher Education and Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCongenital central nervous system (CNS) anomalies are the structural or functional abnormalities of the brain and spinal cord that occur during the intrauterine developmental process. PURPOSE: The present study aims to detect the prevalence of congenital CNS anomalies among stillborn fetuses, the association between congenital anomalies and maternal factors, and also the association between autopsy and ultrasound findings.

methodsThis study was conducted on 50 stillborn fetuses, obtained from the Department of Obstetrics and Gynecology at JSS Medical College and Hospital, Mysuru. The fetuses were fixed in 10% formalin and autopsies were performed as per the standard fetal autopsy protocol. The congenital CNS anomalies were studied in detail.

resultsCNS anomalies were the most common congenital anomalies observed. Out of the total 50 stillborn fetuses studied, CNS anomalies were found in 17 fetuses and their occurrence was more common among male stillborn than females. Meningomyelocele was the most common anomaly, followed by anencephaly. The other anomalies documented were meningocele, encephalocele, meningoencephalocele, agenesis of the corpus callosum, craniorachischisis, bifid cerebellum with hypoplastic vermis, holoprosencephaly, and sirenomelia.Fisher's exact test showed a significant association between maternal hypothyroidism and congenital CNS anomalies (

conclusionThe fetal autopsy is the single most directly evident investigation, which gives information that changes or significantly improves the clinical diagnosis. A multidisciplinary holistic approach toward pregnancy will help to detect any kind of abnormality in the fetus and thus to take a timely decision toward the management.

Indexed as

central nervous systemCongenital anomaliesfetal autopsystillbornultrasonography

Identifiers

PMID34556963
PMCPMC8455018
OpenAlexW3135866563

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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.