Evidence map›Paper›PMID 36348477›Full record

Trial reportBMC anesthesiology2022

Perioperative transcutaneous electrical acupoint stimulation (pTEAS) in pain management in major spinal surgery patients.

Xinyuan Wu, Jieling Huang, Yuling Zhang, Luying Chen, Yandong Ji, Wuhua Ma, Yuhui Li

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC anesthesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Article
  5. Article
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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.

Xinyuan WuDepartment of Anaesthesia, The First Affiliated Hospital of Guangzhou University of Chinese medicine, 510405, Guangzhou, China.
Jieling HuangThe First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, 510405, Guangzhou, China.
Yuling ZhangThe First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, 510405, Guangzhou, China.
Luying ChenThe First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, 510405, Guangzhou, China.
Yandong JiThe First Clinical Medical School of Guangzhou University of Chinese Medicine, Guangzhou University of Chinese Medicine, 510405, Guangzhou, China.
Wuhua MaDepartment of Anaesthesia, The First Affiliated Hospital of Guangzhou University of Chinese medicine, 510405, Guangzhou, China.
Yuhui LiDepartment of Anaesthesia, The First Affiliated Hospital of Guangzhou University of Chinese medicine, 510405, Guangzhou, China. liyuhui1531@gzucm.edu.cn.
Guangzhou University of Chinese Medicine · CNFirst Affiliated Hospital of Guangzhou University of Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLumbar disc herniation is seen in 5-15% of patients with lumbar back pain and is the most common spine disorder demanding surgical correction. Spinal surgery is one of the most effective management for these patients. However, current surgical techniques still present complications such as chronic pain in 10-40% of all patients who underwent lumbar surgery, which has a significant impact on patients' quality of life. Research studies have shown that transcutaneous electrical acupoint stimulation (TEAS) may reduce the cumulative dosage of intraoperative anesthetics as well as postoperative pain medications in these patients.

objectiveTo investigate the effect of pTEAS on pain management and clinical outcome in major spinal surgery patients.

methodsWe conducted a prospective, randomized, double-blind study to verify the effect of pTEAS in improving pain management and clinical outcome after major spinal surgery. Patients (n = 90) who underwent posterior lumbar fusion surgery were randomized into two groups: pTEAS, (n = 45) and Control (n = 45). The pTEAS group received stimulation on acupoints Zusanli (ST.36), Sanyinjiao (SP.6), Taichong (LR.3), and Neiguan (PC.6). The Control group received the same electrode placement but with no electrical output. Postoperative pain scores, intraoperative outcome, perioperative hemodynamics, postoperative nausea and vomiting (PONV), and dizziness were recorded.

resultsIntraoperative outcomes of pTEAS group compared with Control: consumption of remifentanil was significantly lower (P < 0.05); heart rate was significantly lower at the end of the operation and after tracheal extubation (P < 0.05); and there was lesser blood loss (P < 0.05). Postoperative outcomes: lower pain visual analogue scale (VAS) score during the first two days after surgery (P < 0.05); and a significantly lower rate of PONV (on postoperative Day-5) and dizziness (on postoperative Day-1 and Day-5) (P < 0.05).

conclusionpTEAS could manage pain effectively and improve clinical outcomes. It could be used as a complementary technique for short-term pain management, especially in patients undergoing major surgeries.

trial registrationChiCTR1800014634, retrospectively registered on 25/01/2018. http://medresman.org/uc/projectsh/projectedit.aspx?proj=183.

Indexed as

Acupuncture PointsPain ManagementDizzinessHumansPostoperative Nausea and VomitingPostoperative PainProspective StudiesQuality of LifeClinical outcomeMajor spinal surgeryPain managementPerioperative transcutaneous electrical acupoint stimulation (pTEAS)

Identifiers

PMID36348477
PMCPMC9641754
OpenAlexW4308592613

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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.