Evidence map›Paper›PMID 32974348›Full record

ArticleFrontiers in cell and developmental biology2020

SNX9 Inhibits Cell Proliferation and Cyst Development in Autosomal Dominant Polycystic Kidney Disease via Activation of the Hippo-YAP Signaling Pathway.

Ai-Wen Shen, Li-Li Fu, Lu Lin, Bo Sun, Dong-Xu Song, Wu-Tao Wang, Yi-Hao Wang, Pei-Ran Yin, Sheng-Qiang Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cell and developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-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

6 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

9 authors at 5 institutions in 1 country.

Ai-Wen ShenDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Li-Li FuDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Lu LinDivision of Nephrology, Department of Medicine, The 5th Hospital of Sun Yat-sen University1, Zhuhai, China.
Bo SunDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Dong-Xu SongDepartment of Nephrology, Second People's Hospital of Fuyang City, Fuyang, China.
Wu-Tao WangDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Yi-Hao WangDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Pei-Ran YinDepartment of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Sheng-Qiang YuDepartment of Nephrology, Changzheng Hospital, Naval Medical University, Shanghai, China.
Second Military Medical University · CNShanghai Changzheng Hospital · CNSoochow University · CNFifth Affiliated Hospital of Sun Yat-sen University · CNFuyang Second People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is a complex process, involving the alteration of multiple genes and signaling pathways, and the pathogenesis of ADPKD remains largely unknown. Here, we demonstrated the suppressive role of sorting nexin 9 (SNX9) during ADPKD development. Sorting nexin 9 expression was detected in the kidney tissues of ADPKD patients, for the first time, and SNX9 expression was also detected in

Indexed as

ADPKD: autosomal dominant polycystic kidney diseaseHippo-Yes associated pathwaysignaling mechanismSNX9: sorting nexin 9the Hippo-YAP signaling pathwaytherapy

Identifiers

PMID32974348
PMCPMC7472854
OpenAlexW3081401593

What OpenQuestion holds

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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.