ArticlePain and therapy2018
Pain Intensity Factors Changing Breakthrough Pain Prevalence in Patients with Advanced Cancer: A Secondary Analysis of a Cross-Sectional Observational International Study.
Article in Pain and therapy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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.
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Who cites it
4 citing papers in PubMed, 9 citations in OpenAlex.
- Breakthrough and Episodic Cancer Pain from a Palliative Care Perspective.Current oncology (Toronto, Ont.) · 2023Article
- Article
- An in-hospital clinical care pathway with integrated decision support for cancer pain management reduced pain intensity and needs for hospital stay.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2020Article
- Episodic Cancer Pain: Patient Reporting, Prevalence, and Clinicodemographic Associations at Initial Cancer Pain Clinic Assessment.Pain research & management · 2020Article
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
introductionDifferent definitions of breakthrough pain (BTP) influence the observed BTP prevalence. This study examined BTP prevalence variability due to use of different cutoffs for controlled background pain, different assessment periods for background pain, and difference between worst and average pain intensity (PI).
methodsCancer patients from the EPCRC-CSA study who reported flare-ups of pain past 24 h were potential BTP cases. BTP prevalence was calculated for different cutoffs for background PI on numeric rating scales (NRS 0-10) for the past week, past 48 and past 24 h period. Furthermore, BTP cases were categorized based on the difference between maximum and average PI past 24 h (range, 0 to > 2 points, NRS 0-10).
resultsOf 696 respondents, 302 patients (43.4%) reported pain flares the past 24 h. The BTP prevalence when using a defined background PI ≤ 4 for the past week was 19.8%. This number varied for different defined cutoffs for background PI. Actual background PI and BTP prevalence also varied between the assessment periods "past week", "past 48 h", and "past 24 h" (PI 4.0, 3.6, and 3.4; BTP prevalence 19.8, 22.7, and 24.9% for background PI ≤ 4). For patients with background PI ≤ 4 past week, 105 had a difference between maximum and average PI ≥ one point and 48 had a difference > two points.
conclusionsThe reported BTP prevalence is dependent on the cutoff for background PI in the BTP definition, population background PI during the assessment period, and defined cutoff for the difference between worst and average PI.
fundingNTNU, Norwegian University of Science and Technology.
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