Evidence map›Paper›PMID 35173577›Full record

ArticleFrontiers in neuroscience2022

Transcutaneous Electrical Nerve Stimulation in Rodent Models of Neuropathic Pain: A Meta-Analysis.

Jiapeng Huang, Chunlan Yang, Kehong Zhao, Ziqi Zhao, Yin Chen, Tingting Wang, Yun Qu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

4 citing papers in PubMed, 14 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

7 authors at 2 institutions in 1 country.

Jiapeng HuangDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Chunlan YangDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Kehong ZhaoDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Ziqi ZhaoDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yin ChenDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Tingting WangDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Yun QuDepartment of Rehabilitation Medicine, West China Hospital, Sichuan University, Chengdu, China.
Sichuan University · CNWest China Hospital of Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcutaneous electrical nerve stimulation (TENS) is a non-invasive therapeutic intervention that is typically used for many years to treat chronic pain in patients who are refractory to pain medications. However, evidence of the efficacy of TENS treatment for neuropathic pain is lacking in humans. To further understand the efficacy of TENS under various intervention conditions and illuminate the current circumstance and future research directions, we systematically reviewed animal studies investigating the efficacy of TENS in relieving pain in neuropathic pain rodent models. We searched the Cochrane Library, EMBASE, MEDLINE (via PubMed), and Web of Science and identified 11 studies. Two meta-analyses were performed. The first meta-analysis showed that a single TENS treatment was capable of temporarily ameliorating neuropathic pain when compared to control groups with a significant effect (standardized mean difference: 1.54; 95% CI: 0.65, 2.42;

Indexed as

animal studiesmeta-analysisneuropathic painpain modelstranscutaneous electrical nerve stimulation

Identifiers

PMID35173577
PMCPMC8841820
OpenAlexW4226171516

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.