Evidence map›Paper›PMID 41924742›Full record

Trial reportFrontiers in medicine2026

ED

Xu-Ming Zhu, Xiao-Yong Wei, Qian-Yu Guo, Pei-Pei Hao, Le-Ting Ji, Chang-Sheng Li

Erratum issuedAbstract 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. An erratum has been issued. 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

5 · Who and what money

Authors and funding

6 authors.

Xu-Ming ZhuDepartment of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Xiao-Yong WeiDepartment of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Qian-Yu GuoDepartment of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Pei-Pei HaoDepartment of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Le-Ting JiDepartment of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Chang-Sheng LiDepartment of Anesthesiology, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Children's minds are immature, making them more susceptible to severe anxiety when separated from their parents before surgery. Alleviating preoperative anxiety in children is essential for providing comfort-oriented healthcare. Remimazolam is a novel ultra-short-acting benzodiazepine. Existing studies have identified the effective dose for 50% of patients (ED Methods: From April to August 2025, pediatric patients undergoing elective surgery under general anesthesia were enrolled and stratified into two age groups: a younger group (YG, aged 1 to <4 years) and an older group (OG, aged 4-6 years inclusive). We employed the biased coin design (BCD) to determine target doses, defining a positive response as effective relief of preoperative anxiety [Parent Separation Anxiety Scale (PSAS) score < 3]. The initial dose for the first patient was 0.2 mg/kg. For subsequent pediatric patients, the dose was adjusted by increasing or decreasing by 0.05 mg/kg based on sedation response of the previous case. Isotonic regression and bootstrapping methods were used to estimate the ED Results: Eighty children completed the study, 40 in YG group and 40 in OG group. Statistical analysis indicated that the ED Conclusion: The ED Clinical Trial Registration: https://www.chictr.org.cn/bin/project/edit?pid=252632, identifier ChiCTR2500098747.

Indexed as

biased coin designchildrenintravenous drippreoperative anxietyremimazolam

Identifiers

PMID41924742
PMCPMC13036471

What OpenQuestion holds

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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.