Evidence map›Paper›PMID 30242544›Full record

ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2019

Optimizing cancer pain management in resource-limited settings.

Sam H Ahmedzai, Mary Jocylyn Bautista, Kamel Bouzid, Rachel Gibson, Yuddi Gumara, Azza Adel Ibrahim Hassan, Seiji Hattori, Dorothy Keefe, Durval Campos Kraychete, Dae Ho Lee and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

11 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
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

13 authors at 9 institutions in 11 countries.

Sam H AhmedzaiNational Institute of Health Research Clinical Research Network for Cancer, Leeds, UK.
Mary Jocylyn BautistaBenavides Cancer Institute, University of Santo Tomas Hospital, Manila, Philippines.
Kamel BouzidMedical Oncology Department, Pierre & Marie Curie Center, Algiers, Algeria.
Rachel GibsonDivision of Health Sciences, University of South Australia, Adelaide, Australia.
Yuddi GumaraNational Cancer Center Dharmais Hospital, Jakarta, Indonesia.
Azza Adel Ibrahim HassanSupportive & Palliative Care Section, Medical Oncology Department, National Center for Cancer Care and Research, Hamad Medical Corporation, Doha, Qatar.
Seiji HattoriDepartment of Cancer Pain Management, The Cancer Institute Hospital of JFCR, Tokyo, Japan.
Dorothy KeefeDepartment of Medicine, Faculty of Health Sciences, University of Adelaide, Adelaide, Australia.
Durval Campos KraycheteCollege of Medicine, Federal University of Bahia, Salvador, Bahia, Brazil.
Dae Ho LeeDepartment of Oncology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Kazuo TamuraGeneral Medical Research Center, Fukuoka University School of Medicine, Fukuoka, Japan.
Jie Jun WangDepartment of Oncology, Shanghai Changzheng Hospital, Second Military Medical University, No. 64 He Tian Road, Shanghai, 200070, People's Republic of China. jiejunw19@163.com.
CAncer Pain management in Resource-limited settings (CAPER) Working Group
Second Military Medical University · CNUlsan College · KRUniversity of Santo Tomas Hospital · PHUniversity of South Australia · AUDharmais Cancer Hospital · IDNational Center for Cancer Care and Research · QANIHR Research Delivery Network · GBThe Cancer Institute Hospital · JPUniversidade Federal da Bahia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdequate cancer pain management (CPM) is challenging in resource-limited settings, where current international guideline recommendations are difficult to implement owing to constraints such as inadequate availability and accessibility of opioids, limited awareness of appropriate opioid use among patients and clinicians, and lack of guidance on how to translate the best evidence into clinical practice. The multinational and multidisciplinary CAncer Pain managEment in Resource-limited settings (CAPER) Working Group proposes a two-step initiative to bridge clinical practice gaps in CPM in resource-limited settings.

methodsA thorough review of the literature, a steering committee meeting in February 2017, and post-meeting teleconference discussions contributed to the development of this initiative. As a first step, we developed practical evidence-based CPM algorithms to support healthcare providers (HCPs) in tailoring treatment according to availability of and access to resources. The second part of the initiative proposes a framework to support an effective implementation of the CPM algorithms that includes an educational program, a pilot implementation, and an advocacy plan.

resultsWe developed CPM algorithms for first-line use, breakthrough cancer pain, opioid rotation, and refractory cancer pain based on the National Comprehensive Cancer Network guidelines and expert consensus. Our proposed educational program emphasizes the practical elements and illustrates how HCPs can provide optimal CPM according to evidence-based guidelines despite varied resource limitations. Pilot studies are proposed to demonstrate the effectiveness of the algorithms and the educational program, as well as for providing evidence to support a draft advocacy document, to lobby policymakers to improve availability and accessibility of analgesics in resource-limited settings.

conclusionsThese practical evidence-informed algorithms and the implementation framework represent the first multinational step towards achieving optimal CPM in resource-limited settings.

Indexed as

Cancer PainHumansPain ManagementAlgorithmAnalgesicCancer painEducationImplementationResource-limited

Identifiers

PMID30242544
PMCPMC6499735
OpenAlexW2890773116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.