Evidence map›Paper›PMID 21371010›Full record

ReviewBritish journal of pharmacology2011

Predictive validity of behavioural animal models for chronic pain.

Odd-Geir Berge

Abstract readReview
In one paragraph

Review in British journal of pharmacology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

77 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Opioid-sparing effect of cannabinoids for analgesia: an updated systematic review and meta-analysis of preclinical and clinical studies.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    Pooled it
  3. Pooled it
  4. Opioid-Sparing Effect of Cannabinoids: A Systematic Review and Meta-Analysis.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2017
    Pooled it
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  8. Human Dorsal Root Ganglia Neuronal Cell Line to Study Nociceptive Signaling: A New Pipeline for Pain Therapy.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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17 more citing papers are in PubMed but not listed here.

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

1 author.

Odd-Geir BergeAstraZeneca R&D, CNS&Pain IMed, Södertälje, Sweden. odd-geir.berge@astrazeneca.com

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rodent models of chronic pain may elucidate pathophysiological mechanisms and identify potential drug targets, but whether they predict clinical efficacy of novel compounds is controversial. Several potential analgesics have failed in clinical trials, in spite of strong animal modelling support for efficacy, but there are also examples of successful modelling. Significant differences in how methods are implemented and results are reported means that a literature-based comparison between preclinical data and clinical trials will not reveal whether a particular model is generally predictive. Limited reports on negative outcomes prevents reliable estimate of specificity of any model. Animal models tend to be validated with standard analgesics and may be biased towards tractable pain mechanisms. But preclinical publications rarely contain drug exposure data, and drugs are usually given in high doses and as a single administration, which may lead to drug distribution and exposure deviating significantly from clinical conditions. The greatest challenge for predictive modelling is, however, the heterogeneity of the target patient populations, in terms of both symptoms and pharmacology, probably reflecting differences in pathophysiology. In well-controlled clinical trials, a majority of patients shows less than 50% reduction in pain. A model that responds well to current analgesics should therefore predict efficacy only in a subset of patients within a diagnostic group. It follows that successful translation requires several models for each indication, reflecting critical pathophysiological processes, combined with data linking exposure levels with effect on target.

Indexed as

Behavioral ResearchBehavior, AnimalDisease Models, AnimalAnimalsChronic PainForecastingHumansMiceRatsReproducibility of Results

Identifiers

PMID21371010
PMCPMC3229757

What OpenQuestion holds

Textmetadata
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.