Evidence map›Paper›PMID 37106261›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023

The Edmonton Classification System for Cancer Pain in Patients with Bone Metastasis: a descriptive cohort study.

Merlina Sulistio, Natalie Ling, Tara Finkelstein, Hoong Jiun Tee, Alexandra Gorelik, David Kissane, Natasha Michael

Open access · hybridAbstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. 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
2.1field-weighted citation impact, top 14% 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, 6 citations in OpenAlex.

  1. Article
  2. Mechanisms of Cancer-Induced Bone Pain.Journal of pain research · 2025
    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

7 authors at 3 institutions in 1 country.

Merlina SulistioSupportive, Psychosocial and Palliative Care Research Department, Cabrini Health, 181-183 Wattletree Rd, Mlavern, VIC, 3144, Australia. msulistio@cabrini.com.au.
Natalie LingFaculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
Tara FinkelsteinFaculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia.
Hoong Jiun TeeSupportive, Psychosocial and Palliative Care Research Department, Cabrini Health, 181-183 Wattletree Rd, Mlavern, VIC, 3144, Australia.
Alexandra GorelikMonash-Cabrini Department of Musculoskeletal Health and Clinical Epidemiology, Cabrini Health, Malvern, VIC, Australia.
David KissaneSupportive, Psychosocial and Palliative Care Research Department, Cabrini Health, 181-183 Wattletree Rd, Mlavern, VIC, 3144, Australia.
Natasha MichaelSupportive, Psychosocial and Palliative Care Research Department, Cabrini Health, 181-183 Wattletree Rd, Mlavern, VIC, 3144, Australia.
Monash University · AUThe University of Notre Dame Australia · AUSt Vincent's Hospital Melbourne · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe describe the prevalence of the Edmonton Classification System for Cancer Pain (ECS-CP) features in patients with bone metastasis and cancer-induced bone pain (CIBP) and the relationship between ECS-CP features, pain intensity, and opioid consumption.

methodsWe assessed ECS-CP features and recoded pain mechanisms and opioid use in adult patients with bone metastasis. Validated measures were used to assess pain intensity, incident pain, psychological distress, addictive behavior, and cognition.

resultsAmong 147 eligible patients, 95.2% completed the assessment. Mean participant age was 73.2 years, the majority female (52.1%) with breast cancer occurring most commonly (25.7%). One or more ECS-CP features were present in 96.4% and CIBP in 75.7% of patients. The median average and worst pain scores were 3 and 6, respectively. Neuropathic pain was the most prevalent pain mechanism (45.0%) and was associated with breakthrough pain frequency (p=0.014). Three-quarters had incident pain, which was strongly associated with a higher average and worst pain scores (3.5 and 7, p<0.001 for both), background oral morphine equivalent daily dose (26.7mg, p=0.005), and frequency of daily breakthrough analgesia (1.7 doses/day, p=0.007). Psychological distress (n=90, 64.3%) was associated with a significantly higher average pain score (4, p=0.009) and a slightly higher worst pain score (7, p=0.054). Addictive behaviour and cognitive dysfunction were relatively uncommon (18.6% and 12.9%, respectively).

conclusionThere is a need to promote standardized assessment and classification of pain syndromes such as CIBP. The ECS-CP may allow us to consider CIBP in a systematic manner and develop personalized pain interventions appropriate to the pain profile.

trial registrationRetrospectively registered in ANZCTR ACTRN12622000853741 (16/06/2022).

Indexed as

Bone NeoplasmsBreakthrough PainCancer PainNeoplasmsAdultAgedAnalgesics, OpioidCohort StudiesFemaleHumansAnalgesics, OpioidBone painOpioidPain controlSymptom assessment

Identifiers

PMID37106261
PMCPMC10140090
OpenAlexW4367171871

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.