Evidence map›Paper›PMID 20428975›Full record

ReviewCurrent pain and headache reports2010

Phenotyping and genotyping neuropathic pain.

Inna Belfer, Feng Dai

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current pain and headache reports, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. A Role for Global DNA Methylation Level andFrontiers in pain research (Lausanne, Switzerland) · 2021
    Article
  4. Article
  5. Challenges of neuropathic pain: focus on diabetic neuropathy.Journal of neural transmission (Vienna, Austria : 1996) · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Observational
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. 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

2 authors.

Inna BelferMolecular Epidemiology of Pain Program, Department of Anesthesiology, University of Pittsburgh, 3550 Terrace St, Scaife Hall A-1310, Pittsburgh, PA 15261, USA. belferi@upmc.edu
Feng Dai

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite ongoing efforts, neither effective treatments nor mechanistic understanding of the pathogenesis of human neuropathic pain exists. Genetic association studies may point to the novel molecules that mediate neuropathic pain, facilitating its understanding and management. Several studies used a candidate gene approach to elucidate genetic contribution to neuropathic pain phenotypes; however, the data is limited and inconsistent. Possible reasons include: sample heterogeneity, underpowered study design, population admixture, poor phenotyping, genotyping errors, and statistical analytical mistakes. This article summarizes and discusses current strategies to optimize population-based association studies of human neuropathic pain focusing on principles of measuring neuropathic pain phenotypes and genotyping techniques. We also consider advantages and challenges of study designs and statistical analyses.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansNeuralgiaPhenotype

Identifiers

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.