Evidence map›Paper›PMID 24496233›Full record

SynthesisScientific reports2014

A systematic review and meta-analysis of Baihui (GV20)-based scalp acupuncture in experimental ischemic stroke.

Wen-wen Wang, Cheng-long Xie, Lin Lu, Guo-qing Zheng

Abstract readMeta-AnalysisSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 9 pooled it
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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

67 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  19. Heliyon · 2024
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7 more citing papers are in PubMed but not listed here.

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.

Wen-wen Wang1] Department of Neurology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China [2].
Cheng-long Xie1] Department of Neurology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China [2].
Lin LuDepartment of Neurology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China.
Guo-qing ZhengDepartment of Neurology, the Second Affiliated Hospital of Wenzhou Medical University, Wenzhou 325027, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acupuncture for stroke has been used in China for over 2,000 years and nowadays is increasingly practiced elsewhere in the world. However, previous studies had conflicting findings on the results of acupuncture. Here, we conducted a systematic review and meta-analysis to assess the current evidence for the effect of Baihui (GV20)-based scalp acupuncture in animal models of focal cerebral ischemia. Six databases from the inception of each database up to June 2013 were electronically searched. Primary outcomes were infarct size and neurobehavioral outcome. Ultimately, 54 studies involving 1816 animals were identified describing procedures. Meta-analysis results showed that twelve studies reported significant effects of Baihui (GV20)-based scalp acupuncture for improving infarct volume compared with middle cerebral artery occlusion group (P < 0.01), and thirty-two studies reported significant effects of Baihui (GV20)-based scalp acupuncture for improving the neurological function score when compared with the control group (P < 0.01). In conclusion, Baihui (GV20)-based scalp acupuncture could improve infarct volume and neurological function score and exert potential neuroprotective role in experimental ischemic stroke.

Indexed as

Acupuncture PointsAcupuncture TherapyAnimalsBrainBrain IschemiaDisease Models, AnimalInfarction, Middle Cerebral ArteryMedicine, Chinese TraditionalRatsScalpStrokeTreatment Outcome

Identifiers

PMID24496233
PMCPMC5379241

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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.