Evidence map›Paper›PMID 33221948›Full record

ArticleWorld journal of surgery2021

Opioid Dependence After Lung Cancer Resection: Institutional Analysis of State Prescription Drug Database.

Nick C Levinsky, Matthew M Byrne, Dennis J Hanseman, Alexander R Cortez, Julian Guitron, Sandra L Starnes, Robert M Van Haren

Abstract read
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In one paragraph

Article in World journal of surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.9field-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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

7 authors at 3 institutions in 1 country.

Nick C LevinskyDepartment of Surgery, University of Cincinnati, Cincinnati, OH, USA.
Matthew M ByrneCollege of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Dennis J HansemanDepartment of Surgery, University of Cincinnati, Cincinnati, OH, USA.
Alexander R CortezDepartment of Surgery, University of Cincinnati, Cincinnati, OH, USA.
Julian GuitronDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati, 231 Albert Sabin Way ML-0558, Medical Sciences Building, Room 2472, Cincinnati, OH, USA.
Sandra L StarnesDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati, 231 Albert Sabin Way ML-0558, Medical Sciences Building, Room 2472, Cincinnati, OH, USA.
Robert M Van HarenDivision of Thoracic Surgery, Department of Surgery, University of Cincinnati, 231 Albert Sabin Way ML-0558, Medical Sciences Building, Room 2472, Cincinnati, OH, USA. vanharrm@ucmail.uc.edu.
University of Cincinnati · USSabin Vaccine Institute · USUniversity of Cincinnati Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe national opioid epidemic is a public health crisis. Thoracic surgery has also been associated with high incidence of new persistent opioid use. Our purpose was to describe the incidence and predictors of opioid use after lung cancer resection.

methodsRetrospective review of lung cancer resections from 2015 to 2018 was performed using the Ohio Automated Rx Reporting System. Opioid dosing was recorded as milligram morphine equivalents (MME). Patients were stratified by preoperative opioid use. Chronic preoperative opioid users (opioid dependent) filled > 120 days supply of opioid pain medication in the 12 months prior to surgery; intermittent opioid users filled < 120 days. Chronic postoperative opioid users continued monthly use after 180 days postoperatively.

results137 patients underwent resection. 16.1% (n = 22) were opioid dependent preoperatively, 29.2% (n = 40) were intermittent opioid users, and 54.7% (n = 75) were opioid naïve. Opioid dependent patients had higher daily inpatient opioid use compared to intermittent users and opioid naïve (43[30.0-118.1] MME vs 17.9[3.5-48.8] MME vs 8.8[2.1-25.0] MME, p < 0.001). Twenty-six percent (n = 35) of all patients were opioid users beyond 180 days postoperatively. Variables associated with opioid use > 180 days were: chronic preoperative opioid use (OR 23.8, p < 0.01), daily inpatient opioid requirement (1.02, p < 0.01), and neoadjuvant chemotherapy (28.2, p < 0.01).

conclusionsA quarter of patients are opioid dependent after lung cancer resection. This is due to both preexisting and new persistent opioid use. Improved strategies are needed to prevent chronic pain and opioid dependence after lung cancer resection.

Indexed as

Lung NeoplasmsOpioid-Related DisordersPrescription DrugsAnalgesics, OpioidHumansPostoperative PainRetrospective StudiesAnalgesics, OpioidPrescription Drugs

Identifiers

PMID33221948
OpenAlexW3107697052

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.