Evidence map›Paper›PMID 42333677›Full record

ReviewThe Journal of international medical research2026

Depth of anesthesia monitoring: Current evidence, clinical impact, and future directions.

Huisen Yu, Bin Gao, Yuanyuan Li

Abstract readReview
In one paragraph

Review in The Journal of international medical research, 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

3 authors.

Huisen YuHuantai County People's Hospital, China.
Bin GaoHuantai County People's Hospital, China.
Yuanyuan LiHuantai County People's Hospital, China.ORCID 0009-0003-2320-5287

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depth of anesthesia monitoring has become an important component of modern anesthetic practice. Electroencephalography-based technologies, such as the bispectral index, entropy, and Narcotrend, allow clinicians to assess the level of consciousness more objectively and guide anesthetic titration more precisely. This narrative review summarizes current evidence on the relationship between depth of anesthesia monitoring and major perioperative complications. Available evidence suggests that maintaining an appropriate depth of anesthesia reduces the risk of intraoperative awareness, hypotension associated with excessively deep anesthesia, postoperative delirium, and cognitive dysfunction. Electroencephalography-guided anesthesia appears particularly beneficial in older patients, individuals with cardiovascular disease, and other high-risk populations. Although several limitations remain, including algorithm variability and differential sensitivity to anesthetic agents, the integration of multimodal monitoring, brain network analysis, and artificial intelligence is expected to improve the accuracy and individualization of anesthesia management in the future.

Indexed as

AnesthesiaIntraoperative AwarenessMonitoring, IntraoperativeConsciousness MonitorsElectroencephalographyHumansbispectral indexDepth of anesthesiaelectroencephalographyintraoperative awarenessperioperative complicationspostoperative delirium

Identifiers

PMID42333677
PMCPMC13305578

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.