Evidence map›Paper›PMID 30784008›Full record

Trial reportJournal of clinical monitoring and computing2020

Intraoperative reduction of vasopressors using processed electroencephalographic monitoring in patients undergoing elective cardiac surgery: a randomized clinical trial.

C Sponholz, C Schuwirth, L Koenig, H Hoyer, S M Coldewey, C Schelenz, T Doenst, A Kortgen, M Bauer

Abstract readRandomized Controlled Trial
PubMed Publisher
In one paragraph

Trial report in Journal of clinical monitoring and computing, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. What is new in hemodynamic monitoring and management?Journal of clinical monitoring and computing · 2022
    Review
  7. 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

9 authors at 1 institution in 1 country.

C SponholzDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany. christoph.sponholz@med.uni-jena.de.ORCID https://orcid.org/0000-0002-1746-7024
C SchuwirthDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
L KoenigDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
H HoyerInstitute of Medical Statistics, Computer Sciences and Data Sciences, Jena University Hospital, Jena, Germany.
S M ColdeweyDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
C SchelenzDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
T DoenstDepartment of Cardiothoracic Surgery, Jena University Hospital, Jena, Germany.
A KortgenDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
M BauerDepartment of Anesthesiology and Intensive Care Medicine, Jena University Hospital, Jena, Germany.
Jena University Hospital · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intraoperative vasopressor and fluid application are common strategies against hypotension. Use of processed electroencephalographic monitoring (pEEG) may reduce vasopressor application, a known risk factor for organ dysfunction, in elective cardiac surgery patients. Randomized single-centre clinical trial at Jena University Hospital. Adult patients operated on cardiopulmonary bypass or off-pump coronary artery bypass grafting were randomised to receive anesthesia with visible or blinded pEEG using Narcotrend™. In blinded-Narcotrend (NT) depth of anesthesia was extrapolated from clinical signs, hemodynamic response and anesthetic concentration, supplemented by target indices between 37 and 64 in the visible-NT group. Intraoperative norepinephrine requirement (primary endpoint), fluid balance, extubation time, delirium occurrence and adverse events were evaluated. Patients of the intent-to-treat population (visible-NT: n = 123, blinded-NT: n = 122) had similar patient and procedural characteristics. Adjusted for type of surgery intraoperative Norepinephrine application was significantly reduced in visible-NT (n = 120, robust mean of cumulative dose 4.71 µg/kg bodyweight) compared to blinded-NT patients (n = 119, 6.14 µg/kg bodyweight) (adjusted robust mean difference 1.71 (95% CI 0.33-3.10) µg/kg bodyweight). Although reduction in patients operated on cardiopulmonary bypass was higher the interaction was not significant in post-hoc subgroup analysis. Intraoperative fluid balance was similar among both groups and strata. Extubation time was non-significantly lower in visible than in blinded-NT group. Overall postoperative delirium risk was 16.4% without differences among the groups. Adverse events-sudden movement/coughing, perspiration or hypertension-occurred more often with visible-NT, while one blinded-NT patient experienced intraoperative awareness. Titration of depth of anesthesia in elective cardiac surgery patients using pEEG allows to reduce application of norepinephrine.

Indexed as

Cardiac Surgical ProceduresAgedAnesthesiaAnesthesiologyBlood PressureCardiopulmonary BypassCatecholaminesCoronary Artery Bypass, Off-PumpElectroencephalographyFemaleHemodynamicsHumansInflammationMaleMiddle AgedNorepinephrineCatecholaminesNorepinephrineVasoconstrictor AgentsAdverse eventsCardiac anesthesiaCatecholaminesNeuromonitoring

Identifiers

PMID30784008
OpenAlexW2918143525

What OpenQuestion holds

Textmetadata
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.