Evidence map›Paper›PMID 37207828›Full record

SynthesisIndian heart journal

Microalbuminuria and mortality in individuals with coronary heart disease: A meta-analysis of a prospective study.

Ericko Govardi, Dicky Yulianda, Faisal Habib, Cennikon Pakpahan

Open access · goldAbstract readMeta-AnalysisReview
In one paragraph

Synthesis in Indian heart journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Ericko GovardiFaculty of Medicine, University of Sumatera Utara, Medan, Indonesia. Electronic address: egovardii@gmail.com.
Dicky YuliandaDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Sumatera Utara, Medan, Indonesia.
Faisal HabibDepartment of Cardiology and Vascular Medicine, Faculty of Medicine, University of Sumatera Utara, Medan, Indonesia.
Cennikon PakpahanDepartment of Biomedicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Universitas Sumatera Utara · IDAirlangga University · ID

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimMicroalbuminuria has been elevated as an outcome predictor in cardiovascular medicine. However, due to the small number of studies investigating the association of microalbuminuria and mortality in the coronary heart disease (CHD) population, the prognosis value of microalbuminuria in CHD remains under debate. The objective of this meta-analysis was to investigate the relationship between microalbuminuria and mortality in individuals with CHD.

methodA comprehensive literature search was performed using Pubmed, EuroPMC, Science Direct, and Google Scholar from 2000 to September 2022. Only prospective studies investigating microalbuminuria and mortality in CHD patients were selected. The pooled effect estimate was reported as risk ratio (RR).

results5176 patients from eight prospective observational studies were included in this meta-analysis. Individuals with CHD have a greater overall risk of all-cause mortality (ACM) [rR = 2.07 (95% CI = 1.70-2.44); p = 0.0003; I

conclusionThis meta-analysis indicates that microalbuminuria is associated with a higher risk of mortality in individuals with CHD. Microalbuminuria can serve as a predictor of poor outcomes in CHD patients.

Indexed as

Coronary DiseaseHeartHumansObservational Studies as TopicPrognosisProspective StudiesRisk FactorsAll-cause mortalityCardiovascular mortalityCoronary heart diseaseMeta-analysisMicroalbuminuria

Identifiers

PMID37207828
PMCPMC10421992
OpenAlexW4376959654

What OpenQuestion holds

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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.