Evidence map›Paper›PMID 30508991›Full record

ArticlePain physician2018

Exploring the Role of Chronic Pain Clinics: Potential for Opioid Reduction.

Amol Patwardhan, Ryan Matika, Janalee Gordon, Brian Singer, Michelle Salloum, Mohab Ibrahim

Open access · bronzeAbstract read
In one paragraph

Article in Pain physician, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
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 at 1 institution in 1 country.

Amol PatwardhanDepartment of Anesthesiology, University of Arizona, Tucson, AZ; Department of Pharmacology, University of Arizona, Tucson, AZ.
Ryan MatikaDepartment of Anesthesiology, University of Arizona, Tucson, AZ.
Janalee GordonDepartment of Anesthesiology, University of Arizona, Tucson, AZ.
Brian SingerUniversity of Arizona College of Medicine, Tucson, AZ.
Michelle SalloumUniversity of Arizona College of Medicine, Tucson, AZ.
Mohab IbrahimDepartment of Anesthesiology, University of Arizona, Tucson, AZ; Department of Pharmacology, University of Arizona, Tucson, AZ.
University of Arizona · US

Funding

Mechanism of intrathecal Contulakin-G induced analgesia without motor blockK08NS104272 · NINDS · UT SOUTHWESTERN MEDICAL CENTER · PI PATWARDHAN, AMOL M · 2018 to 2022
$987k
NINDS NIH HHS K08 NS104272
6 · The paper itself

Abstract

backgroundThe management of chronic nonmalignant pain with high-dose opioids has partially contributed to the current opioid epidemic, with some responsibility shared by chronic pain clinics. Traditionally, both primary care providers and patients used chronic pain clinics as a source for continued medical management of patients on high-dose opioids, often resulting in tolerance and escalating doses. Although opioids continue to be an important component of the management of some chronic pain conditions, improvement in function and comfort must be documented. Pain clinics are ideally suited for reducing opioid usage while improving pain and function with the use of a multimodal approach to pain management. We assessed whether the application of multimodal treatment directed by pain specialists in a pain clinic provides for improved function and reduced dosages of opioid analgesics.

objectiveWe evaluated the role of a pain clinic staffed by fellowship-trained pain physicians in reducing pain and opioid use in chronic nonmalignant pain patients. STUDY

designThis study used a retrospective design.

settingThe research took place in an outpatient pain clinic in a tertiary referral center/teaching hospital.

methodsOf 1268 charts reviewed, 296 patients were on chronic opioids at the time of first evaluation. After a thorough evaluation, the patients were treated with nonopioid pharmacotherapy and interventional pain procedures as necessary. The data utilized from patients' latest follow-up visit included current pain level using the Numerical Rating Scale (NRS-11), opioid usage, and various functional parameters.

resultsNRS-11 scores decreased by 33.8% from 6.8 (± 0.1)/10 to 4.5 (± 0.2)/10. The pain frequency and number of pain episodes improved by 36.8 ± 2 and 36.2 ± 2.1, respectively. Additionally, the ability to sleep, work, and perform chores significantly improved. Total opioid use decreased by about 55.4% from 53.8 ± 4 to about 24 ± 2.8 MME/patient/day. LIMITATION: This study is not a randomized prospective controlled study. The patients analyzed are still getting therapy and their pain status may change. Some opioids are underrepresented in the analyzed cohort. Finally, this study lacks in-depth stratification by type of pain, age, gender, and duration of opioid use.

conclusionChronic pain clinics can play a pivotal role in reducing opioid usage while improving pain and function in patients on chronic opioids. We wish to emphasize the importance of allocating resources toward nonopioid treatments that may improve the function and well-being of patients. KEY WORDS: Pain clinic, pain management, multimodal pain management, chronic pain, opioid reduction, improved pain, improved functional capacity.

Indexed as

Pain ClinicsAdultAgedAmbulatory Care FacilitiesAnalgesics, Non-NarcoticAnalgesics, OpioidChronic PainCohort StudiesFemaleHumansMaleMiddle AgedOpioid-Related DisordersPain ManagementProspective StudiesRetrospective StudiesAnalgesics, Non-NarcoticAnalgesics, Opioid

Identifiers

PMID30508991
PMCPMC8998783
OpenAlexW2947163671

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.