Evidence map›Paper›PMID 33171965›Full record

ArticleJournal of personalized medicine2020

Association of

Ying-Chun Chen, Mei-Yi Wu, Zhi-Lei Yu, Wan-Hsuan Chou, Yi-Ting Lai, Chih-Chin Kao, Imaniar Noor Faridah, Mai-Szu Wu, Wei-Chiao Chang

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 2 countries.

Ying-Chun ChenMaster Program in Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Mei-Yi WuMaster Program in Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.ORCID 0000-0002-5777-2752
Zhi-Lei YuDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Wan-Hsuan ChouDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Yi-Ting LaiDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Chih-Chin KaoDivision of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.ORCID 0000-0003-3194-2204
Imaniar Noor FaridahDepartment of Clinical Pharmacy, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Mai-Szu WuDivision of Nephrology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan.
Wei-Chiao ChangMaster Program in Clinical Pharmacogenomics and Pharmacoproteomics, School of Pharmacy, Taipei Medical University, Taipei 11031, Taiwan.
Taipei Medical University-Shuang Ho Hospital · TWTaipei Medical University · TWUniversitas Ahmad Dahlan · IDWan Fang Hospital · TW

Funding

Ministry of Science and Technology, Taiwan MOST-105-2628-B-038-001-MY4Ministry of Science and Technology, Taiwan MOST-108-2321-B-038-003Taipei Medical University 106-5807-001-400
6 · The paper itself

Abstract

Diabetic kidney disease (DKD) is the leading cause of morbidity and mortality in patients with diabetes mellitus (DM) and the most common variant of end-stage renal disease (ESRD) globally. The economic burden of ESRD treatment with dialysis is substantial. The incidence and prevalence of ESRD in Taiwan remain the highest worldwide. Therefore, identifying genetic factors affecting kidney function would have valuable clinical implications. We performed microarray experiments and identified that ubiquitin protein ligase E3C (

Indexed as

diabetic kidney diseasegenetic polymorphismUBE3C

Identifiers

PMID33171965
PMCPMC7712123
OpenAlexW3095105818

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.