Evidence map›Paper›PMID 42529108›Full record

Trial reportFrontiers in medicine2026

Effect of tegileridine pretreatment on fentanyl-induced cough during general anesthesia induction: a randomized controlled trial.

Shaojie Zhang, Jun Hu, Yajuan Zhao, Hongyi Xiao, Yonghao Hou, Huiwen Zheng

Abstract readClinical Trial
In one paragraph

Trial report in Frontiers in medicine, 2026. 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

6 authors.

Shaojie ZhangDepartment of Anesthesiology, Weifang People's Hospital, Weifang, China.
Jun HuDepartment of Anesthesiology, Weifang People's Hospital, Weifang, China.
Yajuan ZhaoDepartment of Anesthesiology, Weifang People's Hospital, Weifang, China.
Hongyi XiaoDepartment of Anesthesiology, Weifang People's Hospital, Weifang, China.
Yonghao HouDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Huiwen ZhengDepartment of Obstetrics, Weifang Maternal and Child Health Hospital, Weifang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fentanyl-induced cough (FIC) is a common adverse reaction during anesthetic induction. Although usually transient, FIC may increase intracranial, intraocular, and intra-abdominal pressures and cause serious complications. Tegileridine (SHR8554), a G-protein-biased μ-opioid receptor agonist, may modulate opioid-induced cough, although the underlying mechanism remains unproven. This study evaluated whether tegileridine pretreatment reduces FIC. Methods: In this prospective, randomized, double-blind, placebo-controlled trial, 232 adults scheduled for elective surgery under general anesthesia were screened, and 216 were randomized to receive tegileridine 0.5 mg diluted to 5 mL (Group T) or 5 mL normal saline (Group C). The study drug was injected intravenously over 10 s immediately before rapid fentanyl injection (4 μg·kg Results: FIC occurred in 31 of 108 patients in Group C and 12 of 108 patients in Group T (28.7% vs. 11.1%; χ Conclusion: Tegileridine 0.5 mg pretreatment reduced the incidence and severity of FIC without evidence of immediate hemodynamic instability. Further active-comparator, dose-finding, and broader safety studies are required before routine clinical adoption. Clinical trial registration: https://www.chictr.org.cn/searchproj.html, identifier: ChiCTR2500115512.

Indexed as

biased μ-opioid receptor agonistfentanyl-induced coughgeneral anesthesiarandomized controlled trialtegileridine

Identifiers

PMID42529108
PMCPMC13416515

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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.