Evidence map›Paper›PMID 35277136›Full record

ArticleBMC anesthesiology2022

Predictive factors of postoperative fentanyl consumption in patients with inflammatory bowel disease: a retrospective cohort study.

Sayaka Tsuboi, Kazumi Kubota, Takahiro Mihara, Masataka Taguri, Gaku Inagawa, Takahisa Goto

Open access · goldAbstract read
In one paragraph

Article in BMC anesthesiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Observational
  2. 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

6 authors at 3 institutions in 1 country.

Sayaka TsuboiDepartment of Biostatistics, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan. stsuboi-cu@umin.ac.jp.
Kazumi KubotaDepartment of Healthcare Information Management, The University of Tokyo Hospital, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
Takahiro MiharaDepartment of Health Data Science, Yokohama City University Graduate School of Data Science, 22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa, 236-0027, Japan.
Masataka TaguriDepartment of Data Science, Yokohama City University Graduate School of Data Science, 22-2 Seto, Kanazawa-ku, Yokohama, Kanagawa, 236-0027, Japan.
Gaku InagawaDepartment of Anesthesia, Yokohama Municipal Citizen's Hospital, 1-1 Mitsuzawa Nishimachi, Kanagawa-ku, Yokohama, Kanagawa, 221-0855, Japan.
Takahisa GotoDepartment of Anesthesiology, Yokohama City University School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
Yokohama City University · JPYokohama Municipal Citizen's Hospital · JPUniversity of Tokyo Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with inflammatory bowel disease (IBD), including Crohn's disease and ulcerative colitis, might present difficulties in achieving postoperative analgesia. Prior studies have suggested that patients with IBD undergoing major abdominal surgery require higher doses of perioperative opioids than do patients without IBD. Considering patients with IBD potentially require high-dose opioids, identifying those requiring higher opioid doses will allow clinicians to optimize the perioperative opioid dose and avoid insufficient pain management or complications of opioid overdose. Therefore, we conducted this study to identify predictive factors that might influence postoperative opioid consumption in patients with IBD.

methodsThis single-center, historical cohort study reviewed the medical records of all patients admitted to the IBD center of our institution for surgery and who used intravenous fentanyl patient-controlled analgesia (PCA) after open abdominal surgery between June 2013 and April 2017. Ultimately, 179 patients were enrolled in the analysis. Variables expected to influence and/or represent pain, analgesia, inflammation, disease condition, and extent of surgery were selected as potential explanatory variables for predicting postoperative opioid consumption. Multivariable linear regression analysis was used to examine the effect of independent variables on postoperative fentanyl consumption.

resultsOf the nine predictive variables selected using the stepwise-selection method, eight were significant. Intraoperative fentanyl consumption, current smoking, ulcerative colitis, administration of biologics during the month before surgery, and the use of supplementary analgesics had a significant increasing effect on postoperative fentanyl consumption, whereas droperidol concentration in the PCA solution, age, and diabetes mellitus had a significant decreasing effect. Preoperative use of opioids was a non-significant variable. The adjusted coefficient of determination was 0.302.

conclusionsIntraoperative fentanyl consumption, current smoking, ulcerative colitis, administration of biologics during the month before surgery, and the use of supplementary analgesics had a significant increasing effect, whereas droperidol concentration in the PCA solution, age, and diabetes mellitus had a significant decreasing effect on postoperative fentanyl consumption. These factors should be considered when adopting postoperative intravenous fentanyl PCA administration for patients with IBD.

trial registrationRegistry: UMIN Clinical Trials Registry. CLINICAL TRIAL NUMBER: UMIN000031198 . Date of registration: February 8, 2018.

Indexed as

Biological ProductsColitis, UlcerativeInflammatory Bowel DiseasesAnalgesia, Patient-ControlledAnalgesicsAnalgesics, OpioidCohort StudiesDroperidolFentanylHumansPostoperative PainRetrospective StudiesAnalgesicsAnalgesics, OpioidBiological ProductsDroperidolFentanylAnalgesiaFentanylInflammatory bowel diseaseOpioidPatient-controlled analgesia

Identifiers

PMID35277136
PMCPMC8915481
OpenAlexW4220659077

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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.