Evidence map›Paper›PMID 32606272›Full record

ArticleThe Korean journal of pain2020

Diffusion tensor imaging of the C1-C3 dorsal root ganglia and greater occipital nerve for cervicogenic headache.

Lang Wang, Jiang Shen, Sushant Das, Hanfeng Yang

Open access · diamondAbstract read
In one paragraph

Article in The Korean journal of pain, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

8 citing papers in PubMed, 13 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

4 authors at 3 institutions in 1 country.

Lang WangDepartment of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-0115-5173
Jiang ShenDepartment of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-0253-4252
Sushant DasNorth Sichuan Medical College, Nanchong, China.ORCID https://orcid.org/0000-0001-5128-4953
Hanfeng YangDepartment of Pain, Affiliated Hospital of North Sichuan Medical College, Nanchong, China.ORCID https://orcid.org/0000-0003-4527-127X
West China Medical Center of Sichuan University · CNAffiliated Hospital of North Sichuan Medical College · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies showed neurography and tractography of the greater occipital nerve (GON). The purpose of this study was determining diffusion tensor imaging (DTI) parameters of bilateral GONs and dorsal root ganglia (DRG) in unilateral cervicogenic headache as well as the grading value of DTI for severe headache. The correlation between DTI parameters and clinical characteristics was evaluated.

methodsThe fractional anisotropy (FA) and apparent diffusion coefficient (ADC) values in bilateral GONs and cervical DRG (C2 and C3) were measured. Grading values for headache severity was calculated using a receiver operating characteristics curve. The correlation was analyzed with Pearson's coefficient.

resultsThe FA values of the symptomatic side of GON and cervical DRG (C2 and C3) were significantly lower than that of the asymptomatic side (all the

conclusionsDTI parameters in the symptomatic side of the C2 and C3 DRG and GON were significantly changed. The FA value of the C2 DRG can grade headache severity. DTI parameters of the GON significantly correlated with HI.

Indexed as

Cervical VertebraeChronic PainDiffusion Tensor ImagingGangliaHeadacheMagnetic Resonance ImagingROC CurveSensitivity and Specificity.Spinal

Identifiers

PMID32606272
PMCPMC7336345
OpenAlexW3039675509

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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.