Evidence map›Paper›PMID 28851961›Full record

SynthesisScientific reports2017

Acupuncture for behavioral changes of experimental depressive disorder: a systematic review and meta-analysis.

Ren-Zhong Kou, Hong Chen, Mei-Ling Yu, Tian-Cheng Xu, Shu-Ping Fu, Sheng-Feng Lu

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

6 authors.

Ren-Zhong KouThe No.2 Clinical Medicine College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Hong ChenThe No.2 Clinical Medicine College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Mei-Ling YuThe No.2 Clinical Medicine College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Tian-Cheng XuThe No.2 Clinical Medicine College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Shu-Ping FuThe No.2 Clinical Medicine College, Nanjing University of Chinese Medicine, Nanjing, 210023, China.
Sheng-Feng LuThe No.2 Clinical Medicine College, Nanjing University of Chinese Medicine, Nanjing, 210023, China. lushengfeng@njucm.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acupuncture is considered to be a promising alternative therapy for depression. Nevertheless, up to now, it remains controversial on the effects exerted by acupuncture on behavioral changes in depression models. Consequently, it's necessary to develop a systematic review and meta-analysis to assess the effect of acupuncture for model rats of depression. Ultimately, 90 studies involving 1861 models were identified. Behavioral indicators including the number of crossings (NC) and the number of rearings (NR) in open field test (OFT), the capacity of sucrose intake (CSI) and the rate of sucrose intake (RSI) in sucrose intake test (SIT), final weight (FW) and gain weight (GW) were employed as main outcomes in depression model rats. The pooled results showed that acupuncture had not less effect than western medicine on improving NC, NR, FW, GW, RSI (P > 0.05). However, the CSI improvement was poorer compared with west medicine (P < 0.05). In conclusion, acupuncture has not less effect on behavior changes than western medicine, including improving NC, NR, RSI, FW and GW in depression models.

Indexed as

Acupuncture TherapyAnimalsBehavior TherapyDepressive DisorderDisease Models, AnimalRatsTreatment Outcome

Identifiers

PMID28851961
PMCPMC5575352

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.