Evidence map›Paper›PMID 32153561›Full record

ArticleFrontiers in immunology2020

Association of Midkine and Pleiotrophin Gene Polymorphisms With Systemic Lupus Erythematosus Susceptibility in Chinese Han Population.

Peng Wang, Yan-Mei Mao, Chan-Na Zhao, Jie-Bing Wang, Xiao-Mei Li, Dong-Qing Ye, Hai-Feng Pan

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 39% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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 3 institutions in 1 country.

Peng WangCenter for Genetic Epidemiology and Genomics, School of Public Health, Medical College of Soochow University, Suzhou, China.
Yan-Mei MaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Chan-Na ZhaoDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Jie-Bing WangDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Xiao-Mei LiDepartment of Rheumatology and Immunology, Anhui Provincial Hospital, Hefei, China.
Dong-Qing YeDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Hai-Feng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Anhui Medical University · CNAnhui Provincial Hospital · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a previous study, we have reported an increased plasma midkine (MK) and pleiotrophin (PTN) concentrations in patients with systemic lupus erythematosus (SLE) and the increase in MK and PTN associated with inflammatory cytokines interleukin (IL)-17 level and some clinical manifestations, suggesting the underlying association of MK and PTN with SLE. This study was conducted to investigate the association between common single-nucleotide polymorphisms (SNPs) in the

Indexed as

AdultAsian PeopleCarrier ProteinsCase-Control StudiesChinaCohort StudiesCytokinesFemaleGene FrequencyGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHealthy VolunteersHumansLupus Erythematosus, SystemicMaleCarrier ProteinsCytokinesMidkinepleiotrophinautoimmune diseasesmidkinepleiotrophinsingle nucleotide polymorphismssystemic lupus erythematosus

Identifiers

PMID32153561
PMCPMC7046794
OpenAlexW3007076677

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.