ArticleCancers2021
Multidimensional Statistical Technique for Interpreting the Spontaneous Breakthrough Cancer Pain Phenomenon. A Secondary Analysis from the IOPS-MS Study.
Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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.
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.
Who cites it
16 citing papers in PubMed.
- Relationship between morphine rescue dose and respiratory safety during breakthrough cancer pain in lung cancer patients treated with high-dose opioids.American journal of cancer research · 2026Article
- A scoping review of breakthrough cancer pain: Multidimensional patient needs and influencing factors.Asia-Pacific journal of oncology nursing · 2025Review
- A rapid systematic review of breakthrough pain definitions and descriptions.British journal of pain · 2024Article
- The influence of ambient environmental factors on breakthrough Cancer pain: insights from remote health home monitoring and a proposed data analytic approach.BMC palliative care · 2024Article
- Assessing Gender Differences for Non-Predictable Breakthrough Cancer Pain Phenomenon: A Secondary Analysis from IOPS-MS Study.Journal of pain research · 2024Article
- Two-year Opioid Prescription Trends in Local Sanitary Agency Naples 3 South, Campania Region, Italy. Descriptive Analyses and AI-based Translational Perspectives.Translational medicine @ UniSa · 2024Article
- Utilizing an artificial intelligence framework (conditional generative adversarial network) to enhance telemedicine strategies for cancer pain management.Journal of anesthesia, analgesia and critical care · 2023Article
- Fentanyl in cancer pain management: avoiding hasty judgments and discerning its potential benefits.Drugs in context · 2023Review
- High-rate breakthrough cancer pain and tumour characteristics - literature review and case series.Drugs in context · 2023Review
- Multidisciplinary approach, continuous care and opioid management in cancer pain: case series and review of the literature.Drugs in context · 2023Article
- Bayesian Network Analysis for Prediction of Unplanned Hospital Readmissions of Cancer Patients with Breakthrough Cancer Pain and Complex Care Needs.Healthcare (Basel, Switzerland) · 2022Article
- Different Machine Learning Approaches for Implementing Telehealth-Based Cancer Pain Management Strategies.Journal of clinical medicine · 2022Article
- Management of Metastatic Disease in Campania (MAMETIC): An Observational Multicenter Retrospective and Prospective Trial on Palliative Radiotherapy in an Italian Region. Study Protocol.Journal of pain research · 2022Article
- Relationship between breakthrough cancer pain, background cancer pain and analgesic treatment - case series and review of the literature.Drugs in context · 2022Review
- Open Issues and Practical Suggestions for Telemedicine in Chronic Pain.International journal of environmental research and public health · 2021Review
- Implementation of a Hybrid Care Model for Telemedicine-based Cancer Pain Management at the Cancer Center of Naples, Italy: A Cohort Study.In vivo (Athens, Greece)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Breakthrough cancer pain (BTcP) is a temporary exacerbation of pain that "breaks through" a phase of adequate pain control by an opioid-based therapy. The non-predictable BTcP (NP-BTcP) is a subtype of BTcP that occurs in the absence of any specific activity. Since NP-BTcP has an important clinical impact, this analysis is aimed at characterizing the NP-BTcP phenomenon through a multidimensional statistical technique. This is a secondary analysis based on the Italian Oncologic Pain multiSetting-Multicentric Survey (IOPS-MS). A correlation analysis was performed to characterize the NP-BTcP profile about its intensity, number of episodes per day, and type. The multiple correspondence analysis (MCA) determined the identification of four groups (phenotypes). A univariate analysis was performed to assess differences between the four phenotypes and selected covariates. The four phenotypes represent the hierarchical classification according to the status of NP-BTcP: from the best (phenotype 1) to the worst (phenotype 4). The univariate analysis found a significant association between the onset time >10 min in the phenotype 1 (37.3%)' vs. the onset > 10 min in phenotype 4 (25.8%) (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.