Evidence map›Paper›PMID 22351080›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2012

Genomic methods for clinical and translational pain research.

Dan Wang, Hyungsuk Kim, Xiao-Min Wang, Raymond Dionne

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2012. 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
–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

2 citing papers in PubMed.

  1. Review
  2. Current challenges in translational pain research.Trends in pharmacological sciences · 2012
    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

4 authors.

Dan WangNational Institute of Nursing Research, National Institutes of Health, Bethesda, MD, USA.
Hyungsuk Kim
Xiao-Min Wang
Raymond Dionne

Funding

Genomic Approaches for Elucidating Novel Targets for Pain and Symptom ManagementZIANR000015 · NINR · NATIONAL INSTITUTE OF NURSING RESEARCH · PI KIM, HYUNG SUK · 2009 to 2021
$20.2M
Intramural NIH HHS ZIA NR000015
6 · The paper itself

Abstract

Pain is a complex sensory experience for which the molecular mechanisms are yet to be fully elucidated. Individual differences in pain sensitivity are mediated by a complex network of multiple gene polymorphisms, physiological and psychological processes, and environmental factors. Here, we present the methods for applying unbiased molecular-genetic approaches, genome-wide association study (GWAS), and global gene expression analysis, to help better understand the molecular basis of pain sensitivity in humans and variable responses to analgesic drugs.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansPainPhenotypePolymorphism, Single Nucleotide

Identifiers

PMID22351080
PMCPMC3512083

What OpenQuestion holds

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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.