Evidence map›Paper›PMID 29056037›Full record

ReviewThe Korean journal of internal medicine2017

New insights into the genetics of fibromyalgia.

Dong-Jin Park, Shin-Seok Lee

Abstract readReview
In one paragraph

Review in The Korean journal of internal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Dopamine transporter gene (Pain reports · 2026
    Article
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  12. Article
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  14. Article
  15. Genome-wide association study identifiesAnnals of the rheumatic diseases · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. The Search for Biomarkers in Fibromyalgia.Diagnostics (Basel, Switzerland) · 2021
    Review
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.

Dong-Jin ParkDepartment of Rheumatology, Chonnam National University Hospital, Gwangju, Korea.
Shin-Seok LeeDepartment of Rheumatology, Chonnam National University Hospital, Gwangju, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although debate on the concept of fibromyalgia (FM) has been vigorous ever since the classification criteria were first published, FM is now better understood and has become recognized as a disorder. Recently, FM has come to be considered a major health problem, affecting 1% to 5% of the general population. As familial aggregations have been observed among some FM patients, genetic research on FM is logical. In fact, genome-wide association studies and linkage analysis, and studies on candidate genes, have uncovered associations between certain genetic factors and FM. Genetic susceptibility is now considered to influence the etiology of FM. At the same time, novel genetic techniques, such as microRNA analysis, have been used in attempts to improve our understanding of the genetic predisposition to FM. In this article, we review recent advances in, and continuing challenges to, the identification of genes contributing to the development of, and symptom severity in, FM.

Indexed as

FibromyalgiaGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansFibromyalgiaGenesPolymorphismSusceptibility

Identifiers

PMID29056037
PMCPMC5668398

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.