Evidence map›Paper›PMID 33569432›Full record

ArticleAnnals of translational medicine2021

Renal tubular injury induced by glyphosate combined with hard water: the role of cytosolic phospholipase A2.

Ruojing Wang, Jing Chen, Fan Ding, Lin Zhang, Xuan Wu, Yi Wan, Jianying Hu, Xiaoyan Zhang, Qing Wu

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 16 citations in OpenAlex.

  1. 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 2 institutions in 1 country.

Ruojing WangSchool of Public Health and Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China.
Jing ChenDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Fan DingSchool of Public Health and Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China.
Lin ZhangSchool of Public Health and Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China.
Xuan WuSchool of Public Health and Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China.
Yi WanLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Jianying HuLaboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, China.
Xiaoyan ZhangDepartment of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China.
Qing WuSchool of Public Health and Key Laboratory of Public Health Safety of the Ministry of Education, Fudan University, Shanghai, China.
Fudan University · CNPeking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe combined effects of glyphosate and hard water on chronic kidney disease of unknown etiology (CDKu) have attracted much interest, but the mechanisms remain unknown. Cytoplasmic phospholipase A

methods

resultsAdministration of glyphosate in mice resulted in elevated levels of β2-microglobulin (β

conclusionsThese findings suggested that hard water combined with glyphosate can induce renal tubular injury in mice, and this may involve mitogen-activated protein kinases (MAPK)/cytosolic phospholipase A

Indexed as

calcium sensitive receptorcytosolic phospholipase A2Glyphosatehard waterrenal tubule

Identifiers

PMID33569432
PMCPMC7867956
OpenAlexW3125916530

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.