Evidence map›Paper›PMID 36754878›Full record

ArticleWorld journal of urology2023

Impact of preexisting opioid dependence on morbidity, length of stay, and inpatient cost of urological oncological surgery.

Sohrab Arora, Chandler Bronkema, Sami E Majdalany, Nicholas Corsi, Ivan Rakic, Austin Piontkowski, Akshay Sood, Matthew J Davis, Daniele Modonutti, Giacomo Novara and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in World journal of urology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

12 authors at 4 institutions in 2 countries.

Sohrab AroraVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Chandler BronkemaVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Sami E MajdalanyVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Nicholas CorsiVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Ivan RakicVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Austin PiontkowskiVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Akshay SoodVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Matthew J DavisVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Daniele ModonuttiVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA.
Giacomo NovaraDepartment of Oncological and Surgical Sciences, Urology Clinic, University of Padova, Padua, Italy.
Craig G RogersVattikuti Urology Institute, Henry Ford Hospital, 2799 W Grand Blvd, Detroit, MI, 48202-2689, USA.
Firas AbdollahVattikuti Center for Outcomes Research, Analytics and Evaluation, Henry Ford Hospital, Detroit, MI, USA. fabdoll1@hfhs.org.
Henry Ford Hospital · USWayne State University · USUniversity of Padua · ITThe University of Texas MD Anderson Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the incidence of preexisting opioid dependence in patients undergoing elective urological oncological surgery. In addition, to quantify the impact of preexisting opioid dependence on outcomes and cost of common urologic oncological procedures at a national level in the USA.

methodsWe used the National Inpatient Sample (NIS) to study 1,609,948 admissions for elective partial/radical nephrectomy, radical prostatectomy, and cystectomy procedures. Trends of preexisting opioid dependence were studied over 2003-2014. We use multivariable-adjusted analysis to compare opioid-dependent patients to those without opioid dependence (reference group) in terms of outcomes, namely major complications, length of stay (LOS), and total cost.

resultsThe incidence of opioid dependence steadily increased from 0.6 per 1000 patients in 2003 to 2 per 1000 in 2014. Opioid-dependent patients had a significantly higher rate of major complications (18 vs 10%; p < 0.001) and longer LOS (4 days (IQR 2-7) vs 2 days (IQR 1-4); p < 0.001), when compared to the non-opioid-dependent counterparts. Opioid dependence also increased the overall cost by 48% (adjusted median cost $18,290 [IQR 12,549-27,715] vs. $12,383 [IQR 9225-17,494] in non-opioid-dependent, p < 0.001). Multivariable analysis confirmed the independent association of preexisting opioid dependence with major complications, length of stay in 4th quartile, and total cost in 4th quartile.

conclusionsThe incidence of preexisting opioid dependence before elective urological oncology is increasing and is associated with adverse outcomes after surgery. There is a need to further understand the challenges associated with opioid dependence before surgery and identify and optimize these patients to improve outcomes.

Indexed as

InpatientsOpioid-Related DisordersAnalgesics, OpioidHumansIncidenceLength of StayMalePostoperative ComplicationsRetrospective StudiesAnalgesics, OpioidCostNational inpatient sampleOpioid dependenceSurgeryUrologic neoplasms

Identifiers

PMID36754878
OpenAlexW4319455776

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.