Evidence map›Paper›PMID 40385060›Full record

ArticleAmerican journal of translational research2025

Electroacupuncture for recovery of gastrointestinal function after laparoscopic hysterectomy surgery: a prospective, randomized, controlled trial.

Zhi-Man Huang, Yong Wang, Mu-Chu Ni, Li Deng, Yong-Zhou Wang

Abstract read
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Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

2 citing papers in PubMed.

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4 · The record

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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

5 authors.

Zhi-Man HuangDepartment of Gynaecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University Luzhou 646000, Sichuan, China.
Yong WangDepartment of Anesthesiology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University Luzhou 646000, Sichuan, China.
Mu-Chu NiDepartment of Gynaecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University Luzhou 646000, Sichuan, China.
Li DengDepartment of Gynaecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University Luzhou 646000, Sichuan, China.
Yong-Zhou WangDepartment of Gynaecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University Luzhou 646000, Sichuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to evaluate the effectiveness and feasibility of electroacupuncture (EA) in improving gastrointestinal peristalsis after laparoscopic surgery.

methodsThis was a single-center, two-arm, prospective randomized trial in which patients were randomly allocated in a 1:1 ratio into two groups after surgery at the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, China. Members of both groups consented to standard postoperative treatment, and the intervention group received EA treatment starting 3-5 hours after surgery, as well as in the morning and afternoon on the first postoperative day. Defecation and flatus times were the co-primary outcomes.

resultsAmong 88 patients who completed the outcome measurements, 43 patients were allocated to the intervention group and 45 to the control group. The mean (SD) time to first flatus was 36.4 (8.0) hours and 42.2 (8.5) hours in the intervention and control groups, respectively (HR 1.9, 95% CI, 1.2-2.9; P < 0.001). The mean (SD) time to first defecation was 46.0 (8.0) hours and 51.3 (9.4) hours in the intervention and control groups, respectively (HR 1.9, 95% CI, 1.2-3.0; P = 0.01). The Visual Analogue Scale (VAS) pain scores and Intake, Feeling nauseated, Emesis, Examination, and Duration of symptoms (I-FEED) scores were significantly lower in the intervention group compared to the control group (P < 0.001).

conclusionEA demonstrates promising effects in accelerating the recovery of GI function and has potential for widespread adoption across diverse healthcare systems globally. However, its exact mechanism requires further in-depth research.

Indexed as

clinical trialElectroacupunctureenhanced recovery after surgerygynecological surgerylaparoscopypostoperative gastrointestinal dysfunction

Identifiers

PMID40385060
PMCPMC12082527

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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.