Evidence map›Paper›PMID 30939089›Full record

ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2019

Comparative Efficacy of Therapeutics for Chronic Cancer Pain: A Bayesian Network Meta-Analysis.

Rongzhong Huang, Lihong Jiang, Yu Cao, Hongli Liu, Minsheng Ping, Wei Li, Yu Xu, Jie Ning, Yuqing Chen, Xiaojing Wang

Open access · greenAbstract readComparative StudyNetwork Meta-Analysis
In one paragraph

Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  16. Paracetamol: A Review of Guideline Recommendations.Journal of clinical medicine · 2021
    Review
  17. The effectiveness of various cytotherapeutic strategies for the treatment of ischemic stroke: a Bayesian network meta-analysis of randomized controlled trials.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2020
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Rongzhong Huang1 The First People's Hospital of Yunnan Province, Kunming, People's Republic of China.
Lihong Jiang1 The First People's Hospital of Yunnan Province, Kunming, People's Republic of China.
Yu Cao1 The First People's Hospital of Yunnan Province, Kunming, People's Republic of China.
Hongli Liu2 First Affiliated Hospital, Bengbu Medical College, Bengbu, People's Republic of China.
Minsheng Ping2 First Affiliated Hospital, Bengbu Medical College, Bengbu, People's Republic of China.
Wei Li2 First Affiliated Hospital, Bengbu Medical College, Bengbu, People's Republic of China.
Yu Xu3 Chuangxu Institute of Lifescience, Chongqing, People's Republic of China.
Jie Ning1 The First People's Hospital of Yunnan Province, Kunming, People's Republic of China.
Yuqing Chen2 First Affiliated Hospital, Bengbu Medical College, Bengbu, People's Republic of China.
Xiaojing Wang2 First Affiliated Hospital, Bengbu Medical College, Bengbu, People's Republic of China.
Bengbu Medical College · CNFirst People's Hospital of Yunnan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOpioids are the primary choice for managing chronic cancer pain. However, many nonopioid therapies are currently prescribed for chronic cancer pain with little published evidence comparing their efficacy.

methodsElectronic databases were searched for randomized controlled trials (RCTs) comparing any systemic pharmaceutical intervention and/or combination thereof in treating chronic cancer pain. The primary outcome was global efficacy reported as an odds ratio (OR). The secondary outcome was change in pain intensity reported as a standardized mean difference (SMD).

resultsWe included 81 RCTs consisting of 10,003 patients investigating 11 medication classes. Most RCTs (80%) displayed low risk of bias. The top-ranking classes for global efficacy were nonopioid analgesics (network OR, 0.30; 95% credibility interval [CrI], 0.13 to 0.67), nonsteroidal anti-inflammatory drugs (network OR, 0.44; 95% CrI, 0.22 to 0.90), and opioids (network OR, 0.49; 95% CrI, 0.27 to 0.86), whereas the top-ranked interventions were lidocaine (network OR, 0.04; 95% CrI, 0.01 to 0.18; surface under the cumulative ranking curve analysis [SUCRA] score, 98.1), codeine plus aspirin (network OR, 0.22; 95% CrI, 0.08 to 0.63; SUCRA score, 81.1), and pregabalin (network OR, 0.29; 95% CrI, 0.08 to 0.92; SUCRA score, 73.8). In terms of reducing pain intensity, we found that no class was superior to placebo, whereas the following top-ranked interventions were superior to placebo: ziconotide (network SMD, -24.98; 95% CrI, -32.62 to -17.35; SUCRA score, 99.8), dezocine (network SMD, -13.56; 95% CrI, -23.37 to -3.69; SUCRA score, 93.5), and diclofenac (network SMD, -11.22; 95% CrI, -15.91 to -5.80; SUCRA score, 92.9).

conclusionThere are significant differences in efficacy among current regimens for chronic cancer pain. Our evidence suggests that certain nonopioid analgesics and nonsteroidal anti-inflammatory drugs can serve as effectively as opioids in managing chronic cancer pain.

Indexed as

AdultAgedAnti-Inflammatory Agents, Non-SteroidalAspirinBayes TheoremBridged Bicyclo Compounds, HeterocyclicCancer PainChronic PainCodeineComparative Effectiveness ResearchDiclofenacFemaleHumansLidocaineMaleMiddle AgedAnti-Inflammatory Agents, Non-SteroidalAspirinBridged Bicyclo Compounds, HeterocyclicCodeinedezocineDiclofenacLidocaineomega-ConotoxinsPregabalinTetrahydronaphthalenesziconotide

Identifiers

PMID30939089
PMCPMC6638598
OpenAlexW2928977547

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.