Evidence map›Paper›PMID 41334498›Full record

ArticleJSLS : Journal of the Society of Laparoendoscopic Surgeons

Predictors of Perioperative Opioid Use in Hysterectomy Patients.

Azra Shivji, Samantha Benlolo, John G Hanlon, Lindsay Shirreff, Heinrich Husslein, Eliane M Shore

Abstract read
In one paragraph

Article in JSLS : Journal of the Society of Laparoendoscopic Surgeons. 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
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.

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

6 authors.

Azra ShivjiDepartment of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada. (Dr. Shivji).
Samantha BenloloDepartment of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada. (Dr. Shivji).
John G HanlonDepartment of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada. (Dr. Shivji).
Lindsay ShirreffDepartment of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada. (Dr. Shivji).
Heinrich HussleinDepartment of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada. (Dr. Shivji).
Eliane M ShoreDepartment of Obstetrics and Gynecology, University of Toronto, Toronto, Ontario, Canada. (Dr. Shivji).

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: Little is known about predictors of opioid use in the acute postoperative phase after hysterectomy. Inadequate pain support during this time can result in increased postoperative complications, and persistent postoperative pain. Objective is to determine predictors of increased opioid use in the acute perioperative phase (intraoperatively and 1 hour and 24 hours postoperatively). Methods: A prospective cohort study involving 200 participants undergoing nonurgent hysterectomy via laparoscopic, vaginal, abdominal, or robotic approaches at an academic tertiary hospital in Toronto, Canada. Data collected included demographics, preoperative validated pain questionnaire scores, pain scores at 1 and 24 hours postoperatively, and analgesic medications used. Nonparametric statistical methods and multivariate analyses were used to examine the association between clinical predictors and opioid use. Opioid use was converted into morphine equivalent dose (MED). Results: Pain sensitivity questionnaire (PSQ) score and body mass index were strongly associated with increased intraoperative MED. Twenty-four-hour postoperative opioid use was negatively correlated to age. Multivariate analysis identified PSQ total score and open hysterectomy as predictors of higher intraoperative MED. The number of preoperative pain medications, open hysterectomy, and PSQ total score were significant predictors of total MED requirements. One additional pain medication and one additional total PSQ point were associated with an increase in total MED of 10.76 and 5.17 mg, respectively. Conclusions: This study is the first step in identifying clinical predictors of increased opioid requirements in the first 24 hours postoperatively. These predictors can inform patient-tailored management plans to ensure adequate pain support and appropriate opioid use.

Indexed as

Analgesics, OpioidHysterectomyPostoperative PainAdultAgedFemaleHumansMiddle AgedPain MeasurementProspective StudiesSurveys and QuestionnairesAnalgesics, OpioidHysterectomyOpioid usePain scoresPerioperative analgesiaPostoperative pain

Identifiers

PMID41334498
PMCPMC12668372

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.