Evidence map›Paper›PMID 32566257›Full record

ArticleCell death discovery2020

Metformin effectively treats

Yili Fang, Fang Li, Chenyang Qi, Xing Mao, Feng Wang, Zhonghua Zhao, Jian-Kang Chen, Zhigang Zhang, Huijuan Wu

Open access · goldAbstract read
In one paragraph

Article in Cell death discovery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

14 citing papers in PubMed, 18 citations in OpenAlex.

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  14. Metformin: A Novel Weapon Against Inflammation.Frontiers in pharmacology · 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

9 authors at 3 institutions in 2 countries.

Yili Fang *Department of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.ORCID 0000-0002-8771-3059
Fang Li *Department of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.
Chenyang QiDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.
Xing MaoDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.
Feng WangDepartment of Nephrology, Shanghai 6th People's Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, 200032 PR China.
Zhonghua ZhaoDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.
Jian-Kang ChenDepartment of Cellular Biology & Anatomy, Medical College of Georgia, Augusta University, Augusta, GA 30912 USA.
Zhigang ZhangDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.
Huijuan WuDepartment of Pathology, School of Basic Medical Science, Fudan University, Shanghai, 200032 PR China.
Shanghai Medical College of Fudan University · CNAugusta University · USShanghai Jiao Tong University · CN

Funding

Mechanisms Underlying the Susceptibility and Severity of Acute Kidney InjuryR01DK114328 · NIDDK · AUGUSTA UNIVERSITY · PI CHEN, JIAN-KANG · 2017 to 2021
$1.7M
Mechanism of Compensatory Renal HypertrophyR01DK083575 · NIDDK · VANDERBILT UNIVERSITY · PI CHEN, JIAN-KANG · 2011 to 2015
$1.7M
NIDDK NIH HHS R01 DK083575NIDDK NIH HHS R01 DK114328
6 · The paper itself

Abstract

Tuberous sclerosis complex (TSC) is characterized by hamartomatous lesions in multiple organs, with most patients developing polycystic kidney disease and leading to a decline of renal function. TSC is caused by loss-of-function mutations in either

Indexed as

Experimental models of diseasePolycystic kidney disease

Identifiers

PMID32566257
PMCPMC7295815
OpenAlexW3034223807

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.