Evidence map›Paper›PMID 39618863›Full record

ArticleReviews in cardiovascular medicine2024

Predictive Value of Coronary Calcifications for Future Cardiac Events in Asymptomatic Patients with Severe Chronic Kidney Disease.

Martin Greif, Korbinian Lackermair, Matthias Wessely, Franz von Ziegler, Alexander Becker

Abstract read
In one paragraph

Article in Reviews in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Martin GreifDepartment of Cardiology, Ludwig-Maximilians-University, 80539 Munich, Germany.ORCID https://orcid.org/0000-0001-8541-6766
Korbinian LackermairDepartment of Cardiology, Ludwig-Maximilians-University, 80539 Munich, Germany.ORCID https://orcid.org/0000-0002-6009-960X
Matthias WesselyDepartment of Cardiology, Ludwig-Maximilians-University, 80539 Munich, Germany.ORCID https://orcid.org/0000-0002-2939-7078
Franz von ZieglerDepartment of Cardiology, Ludwig-Maximilians-University, 80539 Munich, Germany.ORCID https://orcid.org/0000-0002-8614-398X
Alexander BeckerDepartment of Cardiology, Ludwig-Maximilians-University, 80539 Munich, Germany.ORCID https://orcid.org/0000-0003-2357-9660

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronary calcification is a well-established risk factor for cardiovascular events. This retrospective study sought to determine the predictive value of coronary calcification in a specific group of patients with chronic kidney disease. Methods: We included 1094 asymptomatic patients (724 males, 370 females, age 62 ± 9.3 years) referred for cardiological examination. Patents were divided into two groups depending on their renal function. Coronary calcification was determined with a multi-slice computer tomography (CT) scanner. For quantification of coronary calcification the Agatston score was calculated. Over a mean follow up period of 6.2 ± 1.3 years we observed the rate of cardiovascular events (185 events, 61 myocardial infarctions, 103 revascularizations, 21 cardiac deaths). Results: The calcium score was significantly higher in patients with severe kidney disease (glomerular filtration rate (GFR) ≤30 mL/min/1.72 m Conclusions: We could demonstrate that risk prediction with the calcium score is possible in patients with severe chronic kidney disease even if the calcium score overestimates the risk for future cardiovascular events compared to patients with normal to moderate reduced renal function.

Indexed as

cardiovascular riskchronic kidney diseasecoronary calcificationpredictive valuerisk reduction

Identifiers

PMID39618863
PMCPMC11607485

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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.