Evidence map›Paper›PMID 26843965›Full record

ReviewJournal of advanced research2016

Identification of rheumatoid arthritis biomarkers based on single nucleotide polymorphisms and haplotype blocks: A systematic review and meta-analysis.

Mohamed N Saad, Mai S Mabrouk, Ayman M Eldeib, Olfat G Shaker

Open access · goldAbstract readReview
In one paragraph

Review in Journal of advanced research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.0field-weighted citation impact, top 7% 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.

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

18 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Association ofGenetics research · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Strong Association of Polymorphism inAvicenna journal of medical biotechnology
    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 at 2 institutions in 1 country.

Mohamed N SaadBiomedical Engineering Department, Faculty of Engineering, Misr University for Science and Technology, 6th of October City, Egypt.
Mai S MabroukBiomedical Engineering Department, Faculty of Engineering, Misr University for Science and Technology, 6th of October City, Egypt.
Ayman M EldeibSystems and Biomedical Engineering Department, Faculty of Engineering, Cairo University, Giza, Egypt.
Olfat G ShakerMedical Biochemistry and Molecular Biology Department, Faculty of Medicine, Cairo University, Cairo, Egypt.
Cairo University · EGMisr University for Science and Technology · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetics of autoimmune diseases represent a growing domain with surpassing biomarker results with rapid progress. The exact cause of Rheumatoid Arthritis (RA) is unknown, but it is thought to have both a genetic and an environmental bases. Genetic biomarkers are capable of changing the supervision of RA by allowing not only the detection of susceptible individuals, but also early diagnosis, evaluation of disease severity, selection of therapy, and monitoring of response to therapy. This review is concerned with not only the genetic biomarkers of RA but also the methods of identifying them. Many of the identified genetic biomarkers of RA were identified in populations of European and Asian ancestries. The study of additional human populations may yield novel results. Most of the researchers in the field of identifying RA biomarkers use single nucleotide polymorphism (SNP) approaches to express the significance of their results. Although, haplotype block methods are expected to play a complementary role in the future of that field.

Indexed as

Haplotype blockLinkage disequilibriumMajor histocompatibility complexRheumatoid arthritisSingle nucleotide polymorphism

Identifiers

PMID26843965
PMCPMC4703421
OpenAlexW1976504162

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.