Evidence map›Paper›PMID 35178598›Full record

ArticleChild's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery2022

Determination of anatomic level of myelomeningocele by prenatal ultrasound.

Katherine S Barnes, Sumit Singh, Ariana Barkley, Jacob Lepard, Betsy Hopson, Chase R Cawyer, Jeffrey P Blount, Brandon G Rocque

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Article in Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 33% 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, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. Fetal Surgery for Myelomeningocele: Neurosurgical Perspectives.Advances and technical standards in neurosurgery · 2023
    Article
  4. Review
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

8 authors at 2 institutions in 1 country.

Katherine S BarnesDepartment of Pediatrics, University of Alabama at Birmingham, Birmingham, Alabama, USA. katherinebarnes@uabmc.edu.ORCID 0000-0003-2888-7961
Sumit SinghDepartment of Radiology, University of Texas Southwestern, Dallas, Texas, USA.
Ariana BarkleyDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Jacob LepardDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Betsy HopsonDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Chase R CawyerDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Jeffrey P BlountDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Brandon G RocqueDepartment of Neurosurgery, University of Alabama at Birmingham, Birmingham, Alabama, USA.
University of Alabama at Birmingham · USThe University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUltrasound is the primary method for prenatal identification of myelomeningocele and is critical to prognostication and treatment planning. No study has considered the degree of inaccuracy of prenatal US lesion level estimates and anatomic lesion level on postnatal imaging using the weighted kappa coefficient (κw), nor the impact of maternal BMI on agreement. We examined the accuracy of prenatal ultrasound lesion level estimation in a cohort of patients with myelomeningocele using κw and determined whether BMI influenced accuracy.

methodsThe study is a retrospective review including patients born 2011-2019 who had prenatal imaging and primary myelomeningocele closure at a single institution. Lesion levels from prenatal ultrasound and postnatal imaging studies were analyzed for agreement at exact level, within 1 level, and within 2 levels using κw. Maternal BMI was examined for correlation with accuracy.

resultsFifty-seven patients met inclusion criteria. Mean BMI was 31.2. There was no association between maternal BMI and agreement at any level. Lesion level on prenatal ultrasound agreed with postnatal imaging to the exact level in 13 (22.8%) cases, within 1 level in 38 (66.7%) cases, and within 2 levels in 50 (87.7%) cases. Weighted kappa showed moderate agreement at exact level (κ

conclusionWeighted kappa adds confidence for clinical decision making by accounting for accuracy. Prenatal ultrasound is a reliable and accurate method of determining lesion level with near-perfect agreement to postnatal imaging within 2 spinal levels. Maternal BMI may not influence lesion level determination after initial diagnosis.

Indexed as

MeningomyeloceleFemaleHumansPregnancyRetrospective StudiesSpineUltrasonography, PrenatalAccuracyLesion levelMyelomeningoceleRadiology

Identifiers

PMID35178598
OpenAlexW4213198388

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.