Evidence map›Paper›PMID 37892749›Full record

ArticleJournal of clinical medicine2023

Anesthesia Management via an Automated Control System for Propofol, Remifentanil, and Rocuronium Compared to Management by Anesthesiologists: An Investigator-Initiated Study.

Osamu Nagata, Yuka Matsuki, Shuko Matsuda, Keita Hazama, Saiko Fukunaga, Hideki Nakatsuka, Fumiyo Yasuma, Yasuhiro Maehara, Shoko Fujioka, Karin Tajima and 5 more

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Trial
  2. Article
  3. Letter to the article by Nagata et al.Journal of anesthesia · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
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

15 authors.

Osamu NagataDepartment of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0002-2988-8977
Yuka MatsukiDepartment of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.ORCID 0000-0003-2949-2574
Shuko MatsudaDepartment of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.
Keita HazamaDepartment of Anesthesiology and Intensive Care Medicine, Hiroshima City Hiroshima Citizens Hospital, Hiroshima 730-8518, Japan.
Saiko FukunagaDepartment of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School, Kurashiki 701-0192, Japan.
Hideki NakatsukaDepartment of Anesthesiology and Intensive Care Medicine, Kawasaki Medical School, Kurashiki 701-0192, Japan.
Fumiyo YasumaDepartment of Anesthesiology, Center Hospital of the National Center for Global Health and Medicine, Tokyo 162-8655, Japan.
Yasuhiro MaeharaDepartment of Anesthesiology, Center Hospital of the National Center for Global Health and Medicine, Tokyo 162-8655, Japan.ORCID 0000-0003-3677-0720
Shoko FujiokaDepartments of Anesthesiology, The Jikei University School of Medicine, Tokyo 105-8461, Japan.
Karin TajimaDepartments of Anesthesiology, The Jikei University School of Medicine, Tokyo 105-8461, Japan.
Ichiro KondoDepartments of Anesthesiology, The Jikei University School of Medicine, Tokyo 105-8461, Japan.
Itaru GinozaDepartment of Anesthesiology, University of the Ryukyu, Okinawa 903-0213, Japan.
Misuzu HayashiDepartment of Anesthesiology, University of the Ryukyu, Okinawa 903-0213, Japan.
Manabu KakinohanaDepartment of Anesthesiology, University of the Ryukyu, Okinawa 903-0213, Japan.
Kenji ShigemiDepartment of Anesthesiology and Reanimatology, University of Fukui, Fukui 910-1193, Japan.

Funding

the Japan Agency for Medical Research and Development (AMED) JP22hk0102081
6 · The paper itself

Abstract

backgroundWe previously developed an automated total intravenous anesthesia control system that uses new closed-loop system algorithms to administer propofol, remifentanil, and rocuronium based on the bispectral index and train-of-four data. We recently improved this automated control system by adding a safety mechanism and using a modified monitoring device.

methodsPatients scheduled for elective surgery were randomly assigned to closed-loop feedback control (automatic group) or the manual administration of propofol, remifentanil, and rocuronium (manual group). The proportion of time during which the proper management of three-agent anesthesia was maintained during surgery was determined as the primary endpoint.

resultsThe proportion of time during which the three components of sedation, analgesia, and muscle relaxation were adequately controlled was 87.21 ± 12.79% in the automatic group, which was non-inferior to the proportion of 65.19 ± 20.16% in the manual group (

conclusionOur three-agent automated control system, which features an improved muscle relaxation monitor and safety mechanism added to the basic control algorithms, maintained sedation, analgesia, and muscle relaxation appropriately in a manner non-inferior to anesthesiologists without compromising safety.

Indexed as

anesthesiaautomated control systemclosed-loop controlpropofolremifentanilrocuronium

Identifiers

PMID37892749
PMCPMC10607889

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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.