Evidence map›Paper›PMID 33387218›Full record

SynthesisInternational urology and nephrology2021

Relationship between chronic kidney disease and adverse outcomes of coronavirus disease 2019: a meta-analysis based on adjusted risk estimates.

Wenwei Xiao, Jie Xu, Xuan Liang, Li Shi, Peihua Zhang, Yadong Wang, Haiyan Yang

Abstract readMeta-Analysis
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in International urology and nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Meta-Analysis of Atrial Fibrillation in Patients With COVID-19.The American journal of cardiology · 2021
    Pooled it
  2. Article
  3. Article
  4. Review
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

7 authors.

Wenwei XiaoDepartment of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Jie XuDepartment of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Xuan LiangDepartment of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Li ShiDepartment of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Peihua ZhangDepartment of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China.
Yadong WangDepartment of Toxicology, Henan Center for Disease Control and Prevention, Zhengzhou, 450016, China.
Haiyan YangDepartment of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou, 450001, China. yhy@zzu.edu.cn.

Funding

National Natural Science Foundation of China 81973105
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

COVID-19PandemicsRenal Insufficiency, ChronicComorbidityHumansPrognosisRisk FactorsSARS-CoV-2

Identifiers

PMID33387218
PMCPMC7775836

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.