Evidence map›Paper›PMID 35488145›Full record

ReviewInternational urology and nephrology2022

Research progress on the relationship between IS and kidney disease and its complications.

Yan Gao, Ye Li, Xueting Duan, Qian Wang, Haisong Zhang

Abstract readReview
PubMed Publisher
In one paragraph

Review in International urology and nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Yan Gao *Department of Nephrology, Affiliated Hospital of Hebei University, No. 212 Yuhuadonglu, Baoding, 071000, People's Republic of China.
Ye Li *Department of Nephrology, Affiliated Hospital of Hebei University, No. 212 Yuhuadonglu, Baoding, 071000, People's Republic of China.
Xueting DuanDepartment of Nephrology, Affiliated Hospital of Hebei University, No. 212 Yuhuadonglu, Baoding, 071000, People's Republic of China.
Qian WangDepartment of Nephrology, Affiliated Hospital of Hebei University, No. 212 Yuhuadonglu, Baoding, 071000, People's Republic of China. 1269073829@qq.com.
Haisong ZhangDepartment of Nephrology, Affiliated Hospital of Hebei University, No. 212 Yuhuadonglu, Baoding, 071000, People's Republic of China. HaisongZhang_1337@126.com.
Affiliated Hospital of Hebei University · CNHebei University · CN

Funding

The project of introducing overseas students of Hebei province C20210357
6 · The paper itself

Abstract

Indoxyl sulphate (IS) a representative uraemic toxin in the blood of patients with chronic kidney disease (CKD). Its accumulation may be closely related to CKD and the increasing morbidity and mortality of the disease's related complications. Timely and effective detection of the IS level and efficient clearance of IS may effectively prevent the progression of CKD and its related complications. Therefore, this article summarizes the research progress of IS related, including IS in CKD and its associated complications including chronic kidney disease, chronic kidney disease with cardiovascular disease, renal anemia, bone mineral metabolic disease and neuropsychiatric disorders, looking for IS accurate rapid detection methods, and explore the efficient treatment to reduce blood levels of indole phenol sulphate.

Indexed as

IndicanRenal Insufficiency, ChronicHumansPhenolsSulfatesUremic ToxinsIndicanPhenolsSulfatesUremic ToxinsChronic kidney diseaseComplicationIndoxyl sulphateResearch progress

Identifiers

PMID35488145
OpenAlexW4225129460

What OpenQuestion holds

Textmetadata
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.