Evidence map›Paper›PMID 39762970›Full record

ArticlePerioperative medicine (London, England)2025

Assessing the use of the Index of Consciousness (IoC) as a monitoring tool for the sedative effects of ciprofol during general anesthesia induction: a prospective observational study.

Yanhong Yu, Hao Wang, Liguo Wei, Yifan Gao, Nuo Yan, Jing Chu, Hong Li

Registry-linked trialAbstract read
In one paragraph

Article in Perioperative medicine (London, England), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07713355 (Impact of Multimodal Brain Monitoring Under General Anesthesia on Postoperative Outcomes in Elderly Patients Undergoing Major Abdominal Surgery), which is not on this 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.

NCT07713355 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

Impact of Multimodal Brain Monitoring Under General Anesthesia on Postoperative Outcomes in Elderly Patients Undergoing Major Abdominal Surgery: A Multicenter, Prospective, Single-blind, Randomized Controlled Study

TypeinterventionalSponsorXuanwu Hospital, BeijingRan2026 to 2028Enrolled368ConditionsAnesthesia, General, Major Abdominal SurgeriesArmsMultimodal brain monitoring guided anesthesia, Bispectral Index(BIS) monitoring guided anesthesia
3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Anesthesia depth prediction from drug infusion history using hybrid AI.BMC medical informatics and decision making · 2025
    Article
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

7 authors.

Yanhong Yu *Department of Anesthesia, Characteristic Medical Center of Chinese People's Armed Police Force (PAP), Tianjin, China.
Hao Wang *Department of Intensive Care Unit, Tianjin Hospital, Tianjin, China.
Liguo Wei *Department of Anesthesia, The Second Hospital of Tianjin Medical University, Tianjin, China.
Yifan GaoDepartment of Anesthesia, Characteristic Medical Center of Chinese People's Armed Police Force (PAP), Tianjin, China.
Nuo YanDepartment of Anesthesia, Characteristic Medical Center of Chinese People's Armed Police Force (PAP), Tianjin, China.
Jing ChuDepartment of Anesthesia, Tianjin Medical University General Hospital Airport Site, Tianjin, China. chujing@hotmail.com.
Hong LiDepartment of Anesthesia, Characteristic Medical Center of Chinese People's Armed Police Force (PAP), Tianjin, China. fch6161@sina.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe investigated the consistency and accuracy of the Index of Consciousness (IoC) and the Bispectral Index (BIS) in monitoring the sedative effect of ciprofol during the induction of general anesthesia. There is extensive literature that reports good consistency and correlations between the IoC1 and the BIS in reflecting the sedation levels induced by propofol and sevoflurane but not by ciprofol.

objectiveThe aim was to compare the consistency and accuracy of the IoC and BIS in monitoring the sedative effect of ciprofol during the induction of general anesthesia.

methodsWe conducted a prospective observational study. A total of 130 patients aged 18 to 65 years who underwent noncardiac or noncranial elective surgery under general anesthesia were included. All patients were diligently monitored for both the BIS and IoC. IoC1 and BIS values were recorded at eight specific time points (T1 to T8) during the induction of general anesthesia. Bland‒Altman analysis was conducted to assess the consistency between the IoC1 and BIS, including the calculation of mean differences and 95% limits of agreement (LOAs). Receiver operating characteristic (ROC) curves were utilized to evaluate the predictive accuracy of the IoC1 for loss of responsiveness.

resultsThe mean difference in the BIS and IoC1 values from T1 to T8 between the two measurement methods was - 0.4308 (95% LOA ranging from - 19.47 to 18.61). There was no significant difference between the IoC1 and BIS (P = 0.6664). The areas under the curve (AUCs) for the IoC1 and BIS in predicting loss of responsiveness were 0.9821 (95% CI 0.9741 to 0.9900) and 0.9855 (95% CI 0.9789 to 0.9922), respectively. The optimal threshold values were 91.5 (sensitivity 94.6%, specificity 96.0%) and 82.5 (sensitivity 99.2%, specificity 93.7%).

conclusionThe IoC1 is highly consistent with the BIS in the assessment of the sedative effects of ciprofol during general anesthesia induction. The IoC is effective in monitoring the sedative effects of ciprofol when responsiveness disappears. The IoC is an effective monitoring tool for monitoring the sedative effects of ciprofol-induced general anesthesia.

trial registrationChiCTR2400086320.

Indexed as

Analgesia levelBISBland–Altman analysisCiprofolIndex of consciousnessInduction of general anesthesiaIoC1ROCSedation level

Identifiers

PMID39762970
PMCPMC11702019

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Registered trials

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.