Evidence map›Paper›PMID 37159675›Full record

ArticleNeuropsychiatric disease and treatment2023

Acupuncture for Major Depressive Disorder: A Data Mining-Based Literature Study.

Mingqi Tu, Sangsang Xiong, Shengxia Lv, Xiaoting Wu, Hantong Hu, Renjie Hu, Jianqiao Fang, Xiaomei Shao

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
–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

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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The efficacy and cerebral mechanism of intradermal acupuncture for major depressive disorder: a multicenter randomized controlled trial.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2025
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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

8 authors.

Mingqi Tu *Key Laboratory for Research ofAcupuncture Treatment and Transformation of Emotional Diseases, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.ORCID 0000-0002-6048-8111
Sangsang Xiong *Key Laboratory for Research ofAcupuncture Treatment and Transformation of Emotional Diseases, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.ORCID 0000-0002-3140-6025
Shengxia Lv *The School of Basic Medical Sciences, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.ORCID 0000-0002-8242-8013
Xiaoting WuKey Laboratory for Research ofAcupuncture Treatment and Transformation of Emotional Diseases, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Hantong HuThe Third Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.ORCID 0000-0001-8759-5083
Renjie HuThe First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Jianqiao FangKey Laboratory for Research ofAcupuncture Treatment and Transformation of Emotional Diseases, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.
Xiaomei ShaoKey Laboratory for Research ofAcupuncture Treatment and Transformation of Emotional Diseases, Key Laboratory of Acupuncture and Neurology of Zhejiang Province, The Third Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, People's Republic of China.ORCID 0000-0002-1637-1178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Acupuncture has a long history of treating major depressive disorder (MDD), yet the acupoint selection of acupuncture for MDD varies greatly. This study aimed to explore the characteristics and principles of acupuncture for MDD by analyzing clinical trials of acupuncture for MDD using data mining techniques. Methods: In this study, clinical trials of acupuncture for MDD were retrieved and relevant data were extracted, and then the data were analyzed by data mining techniques. In addition, association rule mining, network analysis and hierarchical cluster analysis were used to determine the correlation between different acupoints. Results: The results revealed that GV20, LR3, PC6, SP6 and GV29 were used most frequently; acupoints in the Yang meridian were used more often than those in the Yin meridian, with the most applied acupoints in the Governor Vessel; the percentage of specific acupoints applied was 69.39%, with the most applied being five-shu points; the frequency of acupoints used was highest in the lower limbs, while the head, face, and neck had the most acupoints used; GV29 combined with GV20 were the most used acupoint groups; the core acupoints used for MDD were GV20, PC6 and SP36; there were 5 acupoint groups according to the cluster analysis. The most used acupuncture method was manual acupuncture; the frequency of treatment was mostly 7 times per week and the duration of treatment was mostly 42 days. Discussion: We discussed the current character of acupuncture treatment on MDD, including the frequency used of acupoints, the property of used acupoints, the acupoint combination, the acupuncture method, and the frequency and duration of treatment. These findings may provide new ideas for the clinical treatment of MDD. However, further clinical/experimental studies are needed to demonstrate the significance of this concept and approach.

Indexed as

acupuncture treatmentassociation rule miningcluster analysisdata mining technologynetwork analysis

Identifiers

PMID37159675
PMCPMC10163884

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.