Evidence map›Paper›PMID 31980841›Full record

ArticleInternational urogynecology journal2020

Opioid prescription use in patients with interstitial cystitis.

Jacqueline Zillioux, Matthew Clements, C William Pike, David Rapp

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Article in International urogynecology journal, 2020. 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
1.7field-weighted citation impact, top 17% 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, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Jacqueline ZilliouxDepartment of Urology, University of Virginia, PO Box 800422, Charlottesville, VA, USA. jmz7ga@virginia.edu.ORCID 0000-0002-9170-3056
Matthew ClementsDepartment of Urology, University of Virginia, PO Box 800422, Charlottesville, VA, USA.
C William PikeDepartment of Urology, University of Virginia, PO Box 800422, Charlottesville, VA, USA.
David RappDepartment of Urology, University of Virginia, PO Box 800422, Charlottesville, VA, USA.
University of Virginia · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisThe opioid epidemic is a recent focus of national initiatives to reduce opioid misuse and related addiction. As interstitial cystitis (IC) is a chronic pain state at risk for narcotic use, we sought to assess opioid prescription use in patients with IC.

methodsData were accessed from the Virginia All Payers Claims Database. We identified female patients diagnosed with IC from 2011 to 2016 using International Classification of Disease codes. A patient identifier was used to link diagnoses with outpatient prescription claims for opioids using generic product identifiers. We then analyzed opioid prescriptions within 30 days of a claim with a diagnosis of IC.

resultsA total of 6,884 patients with an IC diagnosis were identified. The median number of IC claims per patient was 2 (IQR 1 to 4). Mean patient age was 47.8. Twenty-eight percent of patients received at least 1 opioid prescription, with a median of 2 (IQR 1, 4) per patient. Among those receiving opioids, 185 (9.5%) had more than 10 opioid prescriptions, with a maximum of 129. The most common prescriptions were hydrocodone (n = 2,641, 32.3%), oxycodone (n = 2,545, 31.2%), and tramadol (n = 1,195, 14.6%). There was a decline in opioid prescriptions per month for IC, although the rate per IC diagnosis remained stable.

conclusionsA significant number of patients with IC are treated with opioids. Although the overall number of opioid prescriptions associated with IC had declined, the prescription rate per IC diagnosis had not. As part of the national initiative to reduce opioid use, our data suggest that IC treatment strategies should be examined.

Indexed as

Cystitis, InterstitialOpioid-Related DisordersAnalgesics, OpioidDrug PrescriptionsFemaleHumansPractice Patterns, Physicians'Analgesics, OpioidInterstitial cystitisOpioidPrescribing

Identifiers

PMID31980841
OpenAlexW3001457884

What OpenQuestion holds

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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.