Evidence map›Paper›PMID 38721282›Full record

ArticleTranslational andrology and urology2024

Porous Se@SiO

Chen Ye, Lin Zhao, Jiaying Miao, Chengyu Gong, Yuangui Chen, Shengfei Qin, Nicholas N Tadros, Stefan Aufderklamm, Wenli Jiang, Guoying Deng and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Translational andrology and urology, 2024. 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
–field-weighted citation impact
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.

  1. Review
  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

11 authors.

Chen Ye *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
Lin Zhao *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
Jiaying Miao *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
Chengyu GongDepartment of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Naval Medical University, Shanghai, China.
Yuangui ChenDepartment of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.
Shengfei QinDepartment of Urology, Shanghai Fourth People's Hospital, School of Medicine, Tongji University, Shanghai, China.
Nicholas N TadrosDivision of Urology, Southern Illinois University, Springfield, IL, USA.
Stefan AufderklammDepartment of Urology, Eberhard-Karls University Tübingen, Tübingen, Germany.
Wenli Jiang *Department of Biochemistry and Molecular Biology, College of Basic Medical Sciences, Naval Medical University, Shanghai, China.
Guoying Deng *Trauma Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shaoxiong Ming *Department of Urology, Shanghai Changhai Hospital, Naval Medical University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nephrolithiasis seriously affects people's health with increasing prevalence and high recurrence rates. However, there is still a lack of effective interventions for the clinical prevention of kidney stones. Hyperoxaluria-induced renal tubular epithelial cell (TEC) injury is a known key factor in kidney stone formation. Thus, developing new drugs to inhibit the hyperoxaluria-induced TEC injury may be the best way. Methods: We synthesized the Se@SiO Results: The CCK-8 assays showed that Se@SiO Conclusions: Se@SiO

Indexed as

antioxidanthyperoxaluriakidney stoneSe@SiO2 nanocomposites (Se@SiO2 NPs)

Identifiers

PMID38721282
PMCPMC11074679

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.