Evidence map›Paper›PMID 36676652›Full record

ArticleMedicina (Kaunas, Lithuania)2022

The Prevalence and Factors Associated with the Prescription of Opioids for Head/Neck Pain after Elective Craniotomy for Tumor Resection/Vascular Repair: A Retrospective Cohort Study.

Wei-Yun Wang, Varadaraya Satyanarayan Shenoy, Christine T Fong, Andrew M Walters, Laligam Sekhar, Michele Curatolo, Monica S Vavilala, Abhijit V Lele

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in Medicina (Kaunas, Lithuania), 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
0.9field-weighted citation impact, top 25% 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, 5 citations in OpenAlex.

  1. Article
  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

8 authors at 1 institution in 1 country.

Wei-Yun WangDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98104, USA.
Varadaraya Satyanarayan ShenoyDepartment of Neurological Surgery, University of Washington, Seattle, WA 98104, USA.ORCID 0000-0001-5981-5093
Christine T FongDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98104, USA.
Andrew M WaltersDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98104, USA.
Laligam SekharDepartment of Neurological Surgery, University of Washington, Seattle, WA 98104, USA.
Michele CuratoloDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98104, USA.
Monica S VavilalaDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98104, USA.
Abhijit V LeleDepartment of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA 98104, USA.ORCID 0000-0002-6956-538X
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objective: There is no report of the rate of opioid prescription at the time of hospital discharge, which may be associated with various patient and procedure-related factors. This study examined the prevalence and factors associated with prescribing opioids for head/neck pain after elective craniotomy for tumor resection/vascular repair. Methods: We performed a retrospective cohort study on adults undergoing elective craniotomy for tumor resection/vascular repair at a large quaternary-care hospital. We used univariable and multivariable analysis to examine the prevalence and factors (pre-operative, intraoperative, and postoperative) associated with prescribing opioids at the time of hospital discharge. We also examined the factors associated with discharge oral morphine equivalent use. Results: The study sample comprised 273 patients with a median age of 54 years [IQR 41,65], 173 females (63%), 174 (63.7%) tumor resections, and 99 (36.2%) vascular repairs. The majority (n = 264, 96.7%) received opioids postoperatively. The opiate prescription rates were 72% (n = 196/273) at hospital discharge, 23% (19/83) at neurosurgical clinical visits within 30 days of the procedure, and 2.4% (2/83) after 30 days from the procedure. The median oral morphine equivalent (OME) at discharge use was 300 [IQR 175,600]. Patients were discharged with a median supply of 5 days [IQR 3,7]. On multivariable analysis, opioid prescription at hospital discharge was associated with pre-existent chronic pain (adjusted odds ratio, aOR 1.87 [1.06,3.29], p = 0.03) and time from surgery to hospital discharge (compared to patients discharged within days 1−4 postoperatively, patients discharged between days 5−12 (aOR 0.3, 95% CI [0.15; 0.59], p = 0.0005), discharged at 12 days and later (aOR 0.17, 95% CI [0.07; 0.39], p < 0.001)). There was a linear relationship between the first 24 h OME (p < 0.001), daily OME (p < 0.001), hospital OME (p < 0.001), and discharge OME. Conclusions: This single-center study finds that at the time of hospital discharge, opioids are prescribed for head/neck pain in as many as seven out of ten patients after elective craniotomy. A history of chronic pain and time from surgery to discharge may be associated with opiate prescriptions. Discharge OME may be associated with first 24-h, daily OME, and hospital OME use. Findings need further evaluation in a large multicenter sample. The findings are important to consider as there is growing interest in an early discharge after elective craniotomy.

Indexed as

Chronic PainNeoplasmsOpiate AlkaloidsAdultAnalgesics, OpioidDrug PrescriptionsFemaleHeadacheHumansMorphineNeck PainPatient DischargePostoperative PainPrevalenceRetrospective StudiesAnalgesics, OpioidMorphineOpiate Alkaloidsanalgesiacraniotomylength of stayopioidspain

Identifiers

PMID36676652
PMCPMC9864119
OpenAlexW4312175824

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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.