Evidence map›Paper›PMID 42040596›Full record

ReviewFrontiers in medicine2026

Optimizing the timing of painless gastroscope insertion: integrating advanced monitoring tools to enhance safety and efficacy: a narrative review.

Chunyan Li, Hongmei Zhou, Shuai Kang, Yipan Wu, Li Hu, Yun Xiong

Abstract readReview
In one paragraph

Review 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Trial
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.

Chunyan Li *Department of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Hongmei Zhou *Department of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Shuai KangDepartment of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Yipan WuDepartment of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Li HuDepartment of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.
Yun XiongDepartment of Anesthesiology, The Second Affiliated Hospital of Jiaxing University, Jiaxing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Painless gastroscopy demonstrates significant improvement in patient comfort and examination compliance, which might indicate that the procedure has become commonly used in clinical practice. However, the critical step of accurately determining insertion timing could present challenges, given that unified standards and objective criteria appear to be lacking. Moreover, improper timing of insertion may increase patient discomfort and the risk of procedural complications while potentially affecting diagnostic accuracy. Traditionally, the eyelash reflex, respiratory patterns, blood pressure, heart rate, and other vital sign changes have been observed by clinicians to assist in judging optimal insertion time. Nevertheless, these indicators show limitations in sensitivity and specificity. Given that rapid advances in anesthesia monitoring technologies have occurred, advanced tools such as the Bispectral Index (BIS), capnography, perfusion index (PI), and ultrasound measurement of vocal cord angles could demonstrate gradual application in assessing insertion timing for painless gastroscopy. Thus, relevant literature may be systematically reviewed in this article. Furthermore, the theoretical foundations and clinical applications of these monitoring indicators might be deeply analyzed. Therefore, the findings could provide clinicians with scientific, objective, and effective methods for evaluating insertion timing, which may enhance safety and efficacy of painless gastroscopy procedures.

Indexed as

artificial intelligenceinsertion timingpainless gastroscopyperfusion indexsedation monitoringultrasound vocal cord assessment

Identifiers

PMID42040596
PMCPMC13106056

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.