Evidence map›Paper›PMID 34948643›Full record

ArticleInternational journal of environmental research and public health2021

Diagnostic Accuracy of Magnetic Resonance Imaging for Sagittal Cervical Spine Alignment: A Retrospective Cohort Study.

Chahyun Oh, Chan Noh, Jieun Lee, Sangmin Lee, Boohwi Hong, Youngkwon Ko, Chaeseong Lim, Sun Yeul Lee, Yoon-Hee Kim

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Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

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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

6 citing papers in PubMed.

  1. Observational
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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.

Chahyun OhDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.ORCID 0000-0001-8344-4245
Chan NohDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.
Jieun LeeDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.
Sangmin LeeDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.
Boohwi HongDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.ORCID 0000-0003-2468-9271
Youngkwon KoDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.
Chaeseong LimDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.ORCID 0000-0002-2356-8999
Sun Yeul LeeDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.
Yoon-Hee KimDepartment of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Although radiography performed on the subject in an upright position is considered the standard method for assessing sagittal cervical alignment, it is frequently determined, or reported, based on MRI performed on the subject in a supine position. (2) Methods: Cervical alignment observed in both imaging modalities was assessed using four methods: the C2-7 Cobb angle, the absolute rotation angle (ARA), Borden's method, and the sagittal vertical axis (SVA). Cervical alignment was determined (lordosis, kyphosis, and straight) based on radiography. Then, the diagnostic cut-off values for the MRI images and their corresponding diagnostic accuracies were assessed. (3) Results: The analysis included 142 outpatients. The determined diagnostic cut-off values for lordosis, using three measurements (Cobb angle, ARA, and Borden's method), were -8.5°, -12.5°, and 3.5 mm, respectively, and the cut-off values for kyphosis were -4.5°, 0.5°, and -1.5 mm, respectively. The cut-off value for SVA > 40 mm was 19.5 mm. The Cobb angle, ARA, and Borden's method, on MRI, showed high negative predictive values for determining kyphosis. The SVA on MRI measurements also showed high negative predictive values for determining >40 mm. (4) Conclusions: MRI measurements may be predictive of cervical alignment, especially for the exclusion of kyphosis and SVA > 40 mm. However, caution is needed in the other determinations using MRI, as their accuracies are limited.

Indexed as

KyphosisLordosisCervical VertebraeHumansMagnetic Resonance ImagingRetrospective Studiescervical spinemagnetic resonance imagingradiographyspinal curvatures

Identifiers

PMID34948643
PMCPMC8702200

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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.