Evidence map›Paper›PMID 41458184›Full record

ArticleJournal of pain research2025

Opioid-Free Anesthesia Alleviates Postoperative Nausea and Vomiting in Patients Undergoing Laparoscopic Cholecystectomy: Study Protocol for a Randomized, Controlled Trial.

Ying Li, Dandan Hao, Xiuru Qi, Bijia Song

Abstract read
In one paragraph

Article in Journal of pain research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ying LiDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Dandan HaoDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Xiuru QiDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.
Bijia SongDepartment of Anesthesiology, Beijing Friendship Hospital, Capital Medical University, Beijing, 100050, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Postoperative nausea and vomiting (PONV) remains a prevalent complication following laparoscopic cholecystectomy, often linked to perioperative opioid use. This randomized controlled trial aims to evaluate the efficacy of opioid-free anesthesia (OFA) in reducing PONV incidence and improving postoperative recovery quality compared to conventional opioid-based anesthesia (OBA). Methods/Analysis: This study is a prospective randomized, controlled clinical trial with a concealed allocation of patients scheduled to undergo elective laparoscopic cholecystectomy 1:1 to receive either a standard anesthesia protocol or an OFA. A total of 96 patients were recruited in the study. Primary outcomes include the Rhodes Index of Nausea and Vomiting and the incidence of nausea and vomiting at 6 and 24 hours postoperatively. Ethics and Dissemination: This trial has been approved by the Institutional Review Board of Beijing Friendship Hospital of China Capital University. The trial study protocol was approved on April 16, 2025, with an anticipated patient recruitment period of 12 months. The ethical approval number was BFHHZS20250091. The trial started recruiting patients after registered on the Chinese Clinical Trial Registry. Trial Registration Number: CTR2500102278; Pre-results.

Indexed as

laparoscopic cholecystectomyopioid anesthesiaopioid-free anesthesiapostoperative nausea and vomiting

Identifiers

PMID41458184
PMCPMC12743479

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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.