Evidence map›Paper›PMID 33304640›Full record

ArticleKidney international supplements2020

China Kidney Disease Network (CK-NET) 2016 Annual Data Report.

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

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Kidney international supplements, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed, 3 pooled it
10.2field-weighted citation impact, top 1% 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

99 citing papers in PubMed, 3 syntheses or guidelines pooled it, 157 citations in OpenAlex.

  1. Pooled it
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39 more citing papers are in PubMed but not listed here.

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

8 authors at 5 institutions in 1 country.

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.
Yue WangDepartment of Nephrology, Peking University Third Hospital, Beijing, China.
Feng YuRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
Hong ZhangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China.
Haibo WangNational Institute of Health Data Science at Peking University, Beijing, China.
CK-NET Work Group
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University First Hospital · CNPeking University People's Hospital · CNPeking University Third Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Identifiers

PMID33304640
PMCPMC7716083
OpenAlexW3107923716

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.