Evidence map›Paper›PMID 37993532›Full record

Trial reportScientific reports2023

Prediction of blood pressure changes during surgical incision using the minimum evoked current of vascular stiffness value under sevoflurane anesthesia.

Daiki Shorin, Satoshi Kamiya, Ryuji Nakamura, Ayaka Ishibashi, Noboru Saeki, Toshio Tsuji, Yasuo M Tsutsumi

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in Scientific reports, 2023. 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, top 69% of its field
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, 0 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Daiki Shorin *Department of Anesthesiology and Critical Care, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima, 734-8551, Japan.
Satoshi Kamiya *Department of Anesthesiology and Critical Care, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima, 734-8551, Japan.
Ryuji NakamuraDepartment of Anesthesiology and Critical Care, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima, 734-8551, Japan. r-nacamura@hiroshima-u.ac.jp.
Ayaka IshibashiDepartment of Anesthesiology and Critical Care, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima, 734-8551, Japan.
Noboru SaekiDepartment of Anesthesiology and Critical Care, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima, 734-8551, Japan.
Toshio TsujiGraduate School of Advanced Science and Engineering, Hiroshima University, Hiroshima, Japan.
Yasuo M TsutsumiDepartment of Anesthesiology and Critical Care, Hiroshima University Hospital, 1-2-3 Kasumi, Minami, Hiroshima, 734-8551, Japan.
Hiroshima University Hospital · JPHiroshima University · JP

Funding

Japan Society for the Promotion of Science 21K08923Japan Society for the Promotion of Science 23K15598
6 · The paper itself

Abstract

Necessary and sufficient opioids should be administered for safe and stable anesthesia. However, opioid sensitivity varies among individuals. We previously reported that sympathetic responses to nociceptive stimuli under propofol anesthesia could be predicted by measuring the minimum evoked current of the vascular stiffness value (MEC

Indexed as

AnesthesiaAnesthetics, InhalationMethyl EthersPropofolSurgical WoundVascular StiffnessAnalgesics, OpioidAnesthetics, IntravenousBlood PressureHumansSevofluraneAnalgesics, OpioidAnesthetics, InhalationAnesthetics, IntravenousMethyl EthersPropofolSevoflurane

Identifiers

PMID37993532
PMCPMC10665398
OpenAlexW4388900963

What OpenQuestion 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 OpenQuestion graph.