Evidence map›Paper›PMID 37127615›Full record

SynthesisBMC nephrology2023

Incidence of thromboembolism in children with primary nephrotic syndrome: a systematic review and metaanalysis.

Zhen Wang, Han-Yun Tang, Qiang Lin, Xiao-Zhong Li

Open access · goldAbstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in BMC nephrology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors at 3 institutions in 2 countries.

Zhen WangDepartment of Renal Immunology, Children's Hospital of Soochow University, Soochow, JiangSu, China.
Han-Yun TangDepartment of Renal Immunology, Children's Hospital of Soochow University, Soochow, JiangSu, China.
Qiang LinDepartment of Renal Immunology, Children's Hospital of Soochow University, Soochow, JiangSu, China.
Xiao-Zhong LiDepartment of Renal Immunology, Children's Hospital of Soochow University, Soochow, JiangSu, China. wangzhenszetyy@126.com.
Soochow University · CNSoochow University · TWThe Fourth People's Hospital of Zibo City · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the incidence of thromboembolism in children with primary nephrotic syndrome with Meta-analysis.

methodsRelevant studies published from January 1, 1980 to December 31, 2021 were retrieved from Pubmed, Web of science, Cochrane library, China National Knowledge Infrastructure (CNKI), China Science and Technology Journal Database(VIP) and Wangfang Database. Quality evaluation of the literatures included was conducted according to Agency for Healthcare Research and Quality(AHRQ) assessment tool, followed by data extraction and Meta-analysis with software RevMan 5.3.

resultsA total of seven studies involving 3675 subjects were included. The overall prevalence was 4.9% with 95% CI of 2.83 to 7.05.However, a significant heterogeneity (P < 0.001) was observed with I

conclusionChildren with nephrotic syndrome are prone to thromboembolism, and it may lead to disability or death, therefore prevention measures is critical to decreasing the prevalence of thromboembolism.

Indexed as

Nephrotic SyndromeThromboembolismChildChinaHumansIncidencePrevalenceChildrenPrevalencePrimary nephrotic syndromeThromboembolism

Identifiers

PMID37127615
PMCPMC10150676
OpenAlexW4367624021

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.