Evidence map›Paper›PMID 26376691›Full record

Trial reportBMC pharmacology & toxicology2015

Linking altered central pain processing and genetic polymorphism to drug efficacy in chronic low back pain.

Andreas Siegenthaler, Jürg Schliessbach, Pascal H Vuilleumier, Peter Juni, Hanns U Zeilhofer, Lars Arendt-Nielsen, Michele Curatolo

Registry-linked trialOpen access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in BMC pharmacology & toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01179828 (Linking Altered Central Pain Processing and Genetic Polymorphism to Drug Efficacy in Chronic Low Back Pain), which is not on this map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 20% 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.

NCT01179828 phase3completednot on this map

Linking Altered Central Pain Processing and Genetic Polymorphism to Drug Efficacy in Chronic Low Back Pain

TypeinterventionalSponsorInsel Gruppe AG, University Hospital BernRan2010 to 2015Enrolled150ConditionsLow Back PainArmsOxycodone 15mg, Clobazam, Imipramine, Tolterodine
3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
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  5. Review
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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 6 institutions in 3 countries.

Andreas SiegenthalerChronic Pain Management, Lindenhof Hospital, Lindenhof Group Bern, Bern, Switzerland. andreas.siegenthaler@lindenhofgruppe.ch.
Jürg SchliessbachUniversity Department of Anesthesiology and Pain Therapy, Inselspital Bern, Bern, Switzerland. juerg.schliessbach@insel.ch.
Pascal H VuilleumierUniversity Department of Anesthesiology and Pain Therapy, Inselspital Bern, Bern, Switzerland. pascal.vuilleumier@insel.ch.
Peter JuniInstitute of General Practice BIHAM, Faculty of Medicine, University of Bern, Bern, Switzerland. peter.juni@biham.unibe.ch.
Hanns U ZeilhoferInstitute of Pharmacology and Toxicology, University of Zurich, Zurich, Switzerland. zeilhofer@pharma.uzh.ch.
Lars Arendt-NielsenCentre of Sensory Motor Interaction, University of Aalborg, Aalborg, Denmark. lan@hst.aau.dk.
Michele CuratoloCentre of Sensory Motor Interaction, University of Aalborg, Aalborg, Denmark. curatolo@uw.edu.com.
University Hospital of Bern · CHAalborg University · DKSeattle University · USStiftung Lindenhof Bern · CHUniversity of Bern · CHUniversity of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInability to predict the therapeutic effect of a drug in individual pain patients prolongs the process of drug and dose finding until satisfactory pharmacotherapy can be achieved. Many chronic pain conditions are associated with hypersensitivity of the nervous system or impaired endogenous pain modulation. Pharmacotherapy often aims at influencing these disturbed nociceptive processes. Its effect might therefore depend on the extent to which they are altered. Quantitative sensory testing (QST) can evaluate various aspects of pain processing and might therefore be able to predict the analgesic efficacy of a given drug. In the present study three drugs commonly used in the pharmacological management of chronic low back pain are investigated. The primary objective is to examine the ability of QST to predict pain reduction. As a secondary objective, the analgesic effects of these drugs and their effect on QST are evaluated. METHODS/

designIn this randomized, double blinded, placebo controlled cross-over study, patients with chronic low back pain are randomly assigned to imipramine, oxycodone or clobazam versus active placebo. QST is assessed at baseline, 1 and 2 h after drug administration. Pain intensity, side effects and patients' global impression of change are assessed in intervals of 30 min up to two hours after drug intake. Baseline QST is used as explanatory variable to predict drug effect. The change in QST over time is analyzed to describe the pharmacodynamic effects of each drug on experimental pain modalities. Genetic polymorphisms are analyzed as co-variables. DISCUSSION: Pharmacotherapy is a mainstay in chronic pain treatment. Antidepressants, anticonvulsants and opioids are frequently prescribed in a "trial and error" fashion, without knowledge however, which drug suits best which patient. The present study addresses the important need to translate recent advances in pain research to clinical practice. Assessing the predictive value of central hypersensitivity and endogenous pain modulation could allow for the implementation of a mechanism-based treatment strategy in individual patients.

trial registrationClinicaltrials.gov, NCT01179828.

Indexed as

Clinical ProtocolsPolymorphism, GeneticAdolescentAdultAgedAnalgesicsBenzodiazepinesChronic PainClobazamCross-Over StudiesDouble-Blind MethodFemaleHumansImipramineLow Back PainMaleAnalgesicsBenzodiazepinesClobazamImipramineOxycodone

Identifiers

PMID26376691
PMCPMC4574129
OpenAlexW2146997949

What OpenQuestion holds

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LicenceCC BY
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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.