Evidence map›Paper›PMID 33101545›Full record

ArticleDisease markers2020

Association of

Muhammad Muaaz Aslam, Peter John, Kang-Hsien Fan, Attya Bhatti, Eleanor Feingold, F Yesim Demirci, M Ilyas Kamboh

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. 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

7 authors at 2 institutions in 2 countries.

Muhammad Muaaz AslamAtta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.ORCID https://orcid.org/0000-0003-1817-7894
Peter JohnAtta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Kang-Hsien FanDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Attya BhattiAtta-ur-Rahman School of Applied Biosciences, National University of Sciences and Technology, Islamabad, Pakistan.
Eleanor FeingoldDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
F Yesim DemirciDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
M Ilyas KambohDepartment of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.ORCID https://orcid.org/0000-0002-3453-1438
University of Pittsburgh · USNational University of Sciences and Technology · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveCopy number variation (CNV) is a structural variation in the human genome that has been associated with multiple clinical phenotypes. B cells are important components of rheumatoid arthritis- (RA-) mediated immune response; hence, CNV in the regulators of B cells (such as VPREB1) can influence RA susceptibility. In this study, we aimed to explore the association of CNV in the

methodsA total of 1,106 subjects (616 RA cases, 490 healthy controls) were selected from three rheumatology centers in Pakistan.

resultsA significant association between >2

conclusionCNV > 2 of

Indexed as

DNA Copy Number VariationsAdultArthritis, RheumatoidCase-Control StudiesFemaleGenetic Predisposition to DiseaseHumansImmunoglobulin Light Chains, SurrogateMaleMiddle AgedPakistanImmunoglobulin Light Chains, SurrogateVPREB1 protein, human

Identifiers

PMID33101545
PMCPMC7568136
OpenAlexW3091832136

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.