Evidence map›Paper›PMID 33732294›Full record

ArticleExperimental and therapeutic medicine2021

Knockout of NGAL aggravates tubulointerstitial injury in a mouse model of diabetic nephropathy by enhancing oxidative stress and fibrosis.

Xiaoli Liu, Xincheng Zhao, Xiaoting Duan, Xiaoying Wang, Taoxia Wang, Shuning Feng, Huifang Zhang, Cheng Chen, Guiying Li

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

7 citing papers in PubMed, 13 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

9 authors at 2 institutions in 1 country.

Xiaoli LiuDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Xincheng ZhaoDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Xiaoting DuanDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Xiaoying WangDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Taoxia WangDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Shuning FengDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Huifang ZhangDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Cheng ChenDepartment of Oncology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Guiying LiDepartment of Nephrology, Affiliated Hospital of Hebei University of Engineering, Handan, Hebei 056000, P.R. China.
Hebei University of Engineering · CNAffiliated Hospital of Hebei University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophil gelatinase-associated lipocalin (NGAL), also called lipocalin 2, is considered a promising biomarker for acute and chronic kidney injuries. Several studies have demonstrated that its levels increase in plasma and urine in diabetic nephropathy (DN), and its urine concentration increases upon kidney function deterioration. However, its role in DN progression remains unclear. The current study used

Indexed as

diabetic nephropathyfibrosishistopathological analysisknockdownknockoutneutrophil gelatinase-associated lipocalin

Identifiers

PMID33732294
PMCPMC7903474
OpenAlexW3128308806

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.