Evidence map›Paper›PMID 41868214›Full record

ArticleFrontiers in medicine2026

Electroacupuncture for the prevention of acute gastrointestinal injury in patients with sepsis undergoing mechanical ventilation (EAGISM): a protocol for an open-label randomized controlled trial.

Jian Xu, Ting-Ting Xie, Jun-Xuan Wu, Ding-Wei Deng, Jing Huang, Yi Yu, Bo-Jun Zheng, Ke-Rui Wu, Jian Li

Abstract read
In one paragraph

Article in Frontiers in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Review
  2. Review
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

9 authors.

Jian XuDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Ting-Ting XieThe Second Clinical School of Medicine, Guangzhou University of Chinese Medicine, Guangzhou, Guangdong Province, China.
Jun-Xuan WuDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Ding-Wei DengDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jing HuangDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Yi YuDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Bo-Jun ZhengDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Ke-Rui WuDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.
Jian LiDepartment of Critical Care Medicine, Guangdong Provincial Hospital of Chinese Medicine, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Septic acute gastrointestinal injury (S-AGI) plays a vital role in the initiation and progression of sepsis. Electroacupuncture (EA) is utilized for the treatment and prevention of S-AGI due to its positive impact on gastrointestinal function. However, there is a lack of rigorous trials examining the effectiveness and safety of EA in this context. Thus, a randomized controlled trial (RCT) at a single center has been designed to thoroughly assess the efficacy and safety of EA as an adjunctive therapy for preventing the incidence of S-AGI in patients with sepsis. Methods: A total of 200 mechanically ventilated patients aged ≥18 years with a clinical diagnosis of sepsis will be recruited from the Guangdong Provincial Hospital of Chinese Medicine in China. Patients will be randomly assigned in a 1:1 ratio to either the EA group or the control group. All patients in the control group will receive conventional drug therapy for S-AGI, while patients in the EA group will receive a combination of EA and conventional drug therapy. Only blood test assessors and statisticians will be blinded to the group assignment. The primary outcome is the incidence of S-AGI at day 10. Secondary outcomes include the severity grading of S-AGI, gastric retention, abdominal circumference, intra-abdominal pressure, frequency of bowel sounds, number of days tolerating the daily feeding target, proportion of patients receiving erythromycin and/or metoclopramide due to feeding intolerance, number of patients receiving one or more rectal laxatives due to constipation, plasma prealbumin levels, incidence rate of persistent inflammation, immunosuppression, and catabolism syndrome (PICS), number of days on invasive mechanical ventilation, length of stay in the intensive care unit (ICU), 7-day mortality rate, 28-day mortality rate, and adverse events (AEs). Discussion: The results of this study will provide substantial evidence regarding the efficacy of electroacupuncture in preventing S-AGI in patients with sepsis. Clinical trial registration: http://www.chictr.org.cn, Identifier ChiCTR2300078141.

Indexed as

acupunctureacute gastrointestinal injuryprotocolrandomized controlled trialsepsis

Identifiers

PMID41868214
PMCPMC13001113

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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.