Evidence map›Paper›PMID 30947615›Full record

ArticleJournal of the American Heart Association2019

Albuminuria as a Predictor of Cardiovascular Outcomes in Patients With Acute Myocardial Infarction.

Yejin Mok, Shoshana H Ballew, Yingying Sang, Morgan E Grams, Josef Coresh, Marie Evans, Peter Barany, Johan Ärnlöv, Juan-Jesus Carrero, Kunihiro Matsushita

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 9% 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it, 40 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

10 authors at 2 institutions in 2 countries.

Yejin Mok1 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Shoshana H Ballew1 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Yingying Sang1 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Morgan E Grams1 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Josef Coresh1 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Marie Evans2 Division of Renal Medicine Department of Clinical Science, Intervention and Technology Karolinska Institutet Huddinge Sweden.
Peter Barany2 Division of Renal Medicine Department of Clinical Science, Intervention and Technology Karolinska Institutet Huddinge Sweden.
Johan Ärnlöv3 Division of Family Medicine and Primary Care Department of Neurobiology, Care Science and Society (NVS) Karolinska Institutet Huddinge Sweden.
Juan-Jesus Carrero5 Department of Medical Epidemiology and Biostatistics Karolinska Institutet Stockholm Sweden.
Kunihiro Matsushita1 Department of Epidemiology Johns Hopkins Bloomberg School of Public Health Baltimore MD.
Johns Hopkins University · USKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background In patients with myocardial infarction ( MI ), reduced kidney function is recognized as an important predictor of poor prognosis, but the impact of albuminuria, a representative measure of kidney damage, has not been extensively evaluated. Methods and Results In the SCREAM (Stockholm Creatinine Measurements) project (2006-2012), we identified 2469 patients with incident MI with dipstick proteinuria measured within a year before MI (427 patients also had urine albumin to creatinine ratio [ ACR ] measured concurrently) and obtained estimates for ACR with multiple imputation in participants with data solely on dipstick proteinuria. We quantified the association of ACR with the post- MI composite and individual outcomes of all-cause mortality, cardiovascular mortality, recurrent MI , ischemic stroke, or heart failure using Cox models and then evaluated the improvement in C statistic. During a median follow-up of 1.0 year after MI , 1607 participants (65.1%) developed the post- MI composite outcome. Higher ACR levels were independently associated with all outcomes except for ischemic stroke. Per 8-fold higher ACR (eg, 40 versus 5 mg/g), the hazard ratio of composite outcome was 1.21 (95% CI , 1.08-1.35). The addition of the ACR improved the C statistic of the post- MI composite by 0.040 (95% CI, 0.030-0.051). Largely similar results were obtained regardless of diabetic status and when ACR or dipstick was separately analyzed without imputation. Conclusions In patients with MI , albuminuria was a potent predictor of subsequent outcomes, suggesting the importance of paying attention to the information on albuminuria, in addition to kidney function, in this high-risk population.

Indexed as

AgedAlbuminuriaCardiovascular DiseasesCause of DeathCreatinineFemaleGlomerular Filtration RateHeart FailureHumansIncidenceMaleMiddle AgedMortalityMyocardial InfarctionPrevalencePrognosisCreatininealbuminuriachronic kidney diseasemyocardial infarctionprognosis

Identifiers

PMID30947615
PMCPMC6507197
OpenAlexW2925840767

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.