Evidence map›Paper›PMID 37349112›Full record

ArticleNeurology2023

Evaluation of a Clustering Approach to Define Distinct Subgroups of Patients With Migraine to Select Electroacupuncture Treatments.

Jixin Liu, Shilan Quan, Ling Zhao, Kai Yuan, Yanan Wang, Yutong Zhang, Ziwen Wang, Mingsheng Sun, Li Hu

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 15 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 1 institution in 1 country.

Jixin LiuFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Shilan QuanFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Ling ZhaoFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Kai YuanFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Yanan WangFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Yutong ZhangFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Ziwen WangFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Mingsheng SunFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China.
Li HuFrom the Xi'an Key Laboratory of Intelligent Sensing and Regulation of trans-Scale Life Information (J.L., S.Q., K.Y.), School of Life Science and Technology, Xidian University, Shaanxi; Acupuncture and Tuina School (L.Z., Y.W., Y.Z., Z.W., M.S.), Chengdu University of Traditional Chinese Medicine; CAS Key Laboratory of Mental Health (L.H.), Institute of Psychology, Chinese Academy of Sciences; and Department of Psychology (L.H.), University of Chinese Academy of Sciences, Beijing, China. huli@psych.ac.cn.
University of Chinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesThe objective of this study was to propose a clustering approach to identify migraine subgroups and test the clinical usefulness of the approach by providing prognostic information for electroacupuncture treatment selection.

methodsParticipants with migraine without aura (MWoA) were asked to complete a daily headache diary, self-rating depression and anxiety, and quality-of-life questionnaires. Whole-brain functional connectivities (FCs) were assessed on resting-state functional MRI (fMRI). By integrating clinical measurements and fMRI data, partial least squares correlation and hierarchical clustering analysis were used to cluster participants with MWoA. Multivariate pattern analysis was applied to validate the proposed subgrouping strategy. Some participants had an 8-week electroacupuncture treatment, and the response rate was compared between different MWoA subgroups.

resultsIn study 1, a total of 97 participants (age of 28.2 ± 1.0 years, 70 female participants) with MWoA and 77 healthy controls (HCs) (age of 26.8 ± 0.1 years, 61 female participants) were enrolled (dataset 1), and 2 MWoA subgroups were defined. The participants in subgroup 1 had a significantly lower headache frequency (times/month of 4.4 ± 1.1) and significantly higher self-ratings of depression (depression score of 49.5 ± 2.3) when compared with participants in subgroup 2 (times/month of 7.0 ± 0.6 and depression score of 43.4 ± 1.2). The between-group differences of FCs were predominantly related to the amygdala, thalamus, hippocampus, and parahippocampal area. In study 2, 33 participants with MWoA (age of 30.9 ± 2.0 years, 28 female participants) and 23 HCs (age of 29.8 ± 1.1 years, 13 female participants) were enrolled as an independent dataset (dataset 2). The classification analysis validated the effectiveness of the 2-cluster solution of participants with MWoA in datasets 1 and 2. In study 3, 58 participants with MWoA were willing to receive electroacupuncture treatment and were assigned to different subgroups. Participants in different subgroups exhibited different response rates ( DISCUSSION: Our study proposed a novel clustering approach to define distinct MWoA subgroups, which could be useful for refining the diagnosis of participants with MWoA and guiding individualized strategies for pain prophylaxis and analgesia.

Indexed as

ElectroacupunctureMigraine without AuraAdultBrainCluster AnalysisFemaleHeadacheHumansMagnetic Resonance ImagingPain

Identifiers

PMID37349112
PMCPMC10437024
OpenAlexW4381715130

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.