Evidence map›Paper›PMID 34710575›Full record

Observational studyWorld neurosurgery2022

Are Two-Dimensional Morphometric Measures Reflective of Disease Severity in Adult Chiari I Malformation?

Sumit Thakar, Vidyasagar Kanneganti, Blaise Simplice Talla Nwotchouang, Sara J Salem, Maggie Eppelheimer, Francis Loth, Philip A Allen, Saritha Aryan, Alangar S Hegde

Open access · bronzeAbstract readObservational Study
In one paragraph

Observational study in World neurosurgery, 2022. 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
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

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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

9 authors at 2 institutions in 2 countries.

Sumit ThakarDepartment of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India. Electronic address: sumit.thakar@gmail.com.
Vidyasagar KannegantiDepartment of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India.
Blaise Simplice Talla NwotchouangDepartment of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, Ohio, USA.
Sara J SalemDepartment of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, Ohio, USA.
Maggie EppelheimerDepartment of Biomedical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, Ohio, USA.
Francis LothDepartment of Mechanical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, Ohio, USA; Department of Biomedical Engineering, Conquer Chiari Research Center, The University of Akron, Akron, Ohio, USA.
Philip A AllenDepartment of Psychology, Conquer Chiari Research Center, The University of Akron, Akron, Ohio, USA.
Saritha AryanDepartment of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India.
Alangar S HegdeDepartment of Neurological Sciences, Sri Sathya Sai Institute of Higher Medical Sciences, Bangalore, India.
University of Akron · USSri Sathya Sai Institute of Higher Medical Sciences · IN

Funding

Novel MR Image Processing as an Objective Diagnostic Test for Chiari MalformationR15NS109957 · NINDS · UNIVERSITY OF AKRON · PI ALLEN, PHILIP A. · 2019 to 2019
$469k
NINDS NIH HHS R15 NS109957
6 · The paper itself

Abstract

backgroundTwo-dimensional (2D) morphometric measures have been previously used to diagnose Chiari I malformation (CMI) and distinguish patients from healthy subjects. There is, however, a paucity of literature regarding whether morphometric differences exist across the range of CMI disease severity. We evaluated whether 2D morphometrics demonstrate significant changes across standardized grades of CMI severity in adults.

methodsThis retrospective observational study comprised 76 patients with symptomatic CMI with or without syringomyelia. Patients matched for age, sex, and body mass index were selected from each of the 3 severity grades of the Chiari Severity Index (CSI). The study used 17 2D craniocervical and posterior fossa morphometric variables that were previously found to differentiate patients with CMI from healthy subjects. The measurements were performed on midsagittal T1-weighted magnetic resonance imaging sequences using 2 custom in-house software tools, MorphPro and CerePro, and compared across CSI grades.

resultsAnalysis of variance showed that none of the 17 morphometric variables were significantly different across the 3 CSI grades (P > 0.003). Bayes factor 10 scores ranged from 0.11 to 0.82. Of variables, 9 had Bayes factor 10 scores between 0.10 and 0.30, while 8 had scores between 0.30 and 1. None of the Bayes factor 10 scores provided support for the alternative hypothesis that the morphometric measures differed across the CSI grades.

conclusionsOur study indicated that 2D morphometrics are not reflective of CMI disease severity as indicated by the CSI grading system. The findings of our study support the need for further investigation into whether non-2D morphometric variables can be used as markers of disease severity.

Indexed as

Severity of Illness IndexAdultArnold-Chiari MalformationCohort StudiesFemaleHumansMagnetic Resonance ImagingMaleRetrospective StudiesYoung AdultChiari I malformationChiari severity indexDisease severityMorphometrics

Identifiers

PMID34710575
PMCPMC8692430
OpenAlexW3210367488

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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.