Evidence map›Paper›PMID 40951596›Full record

ArticleKidney international supplements2025

China Kidney Disease Network (CK-NET) 2017-2018 Annual Data Report.

Luxia Zhang, Ming-Hui Zhao, Li Zuo, Hong Zhang, Yue Wang, Haibo Wang, Feng Yu, Chao Yang, Bixia Gao, CK-NET Work Group

Abstract read
In one paragraph

Article in Kidney international supplements, 2025. 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
–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

6 citing papers in PubMed.

  1. Article
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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

10 authors.

Luxia ZhangRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, China.
Ming-Hui ZhaoRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, China.
Li ZuoDepartment of Nephrology, Peking University People's Hospital, Beijing, China.
Hong ZhangRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, China.
Yue WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Haibo WangResearch Centre of Big Data and Artificial Intelligence for Medicine, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, Guangdong, China.
Feng YuDepartment of Nephrology, Peking University International Hospital, Beijing, China.
Chao YangRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, China.
Bixia GaoRenal Division, Department of Medicine, Peking University First Hospital; Peking University Institute of Nephrology, Beijing, China.
CK-NET Work Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID40951596
PMCPMC12432876

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.