Evidence map›Paper›PMID 28705378›Full record

ArticleThe American journal of cardiology2017

Reliability of Cardiovascular Risk Calculators to Estimate Accurately the Risk of Cardiovascular Disease in Patients With Sarcoidosis.

Patompong Ungprasert, Eric L Matteson, Cynthia S Crowson

Open access · greenAbstract readMulticenter Study
In one paragraph

Article in The American journal of cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Assessing severity of cardiac sarcoid: Is SUV the answer?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2020
    Article
  5. 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

3 authors at 2 institutions in 2 countries.

Patompong UngprasertDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, Minnesota; Division of Rheumatology, Department of Medicine, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand. Electronic address: P.Ungprasert@gmail.com.
Eric L MattesonDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, Minnesota; Division of Epidemiology, Department of Health Sciences Research, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.
Cynthia S CrowsonDivision of Rheumatology, Department of Internal Medicine, Mayo Clinic College of Medicine and Science, Rochester, Minnesota; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic College of Medicine and Science, Rochester, Minnesota.
Mayo Clinic · USMahidol University · TH

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
Rochester Epidemiology ProjectR01AG034676 · NIA · MAYO CLINIC ROCHESTER · PI ROCCA, WALTER A, ST SAUVER, JENNIFER LYNN · 2010 to 2019
$9.5M
NCATS NIH HHS UL1 TR000135NIA NIH HHS R01 AG034676
6 · The paper itself

Abstract

Chronic inflammation is an independent risk factor for cardiovascular disease (CVD), but most risk calculators, including the Framingham risk score (FRS) and the American College of Cardiology (ACC)/American Heart Association (AHA) risk score do not account for it. These calculators underestimate cardiovascular risk in patients with rheumatoid arthritis and systemic lupus erythematosus. To date, how these scores perform in the estimation of CVD risk in patients with sarcoidosis has not been assessed. In this study, the FRS and the ACC/AHA risk score were calculated for a previously identified cohort of patients with incident cases of sarcoidosis in Olmsted County, Minnesota, United States, from 1989 to 2013 as well as their gender- and age-matched comparators. The standardized incidence ratio (SIR) was estimated as the ratio of the predicted and observed numbers of CVD events. All CVD events were identified by diagnosis codes and were verified by individual medical record reviews. The predicted number of CVD events among 188 cases by FRS was 11.8 and the observed number of CVD events was 34, which corresponded to an SIR of 2.88 (95% confidence interval 2.06 to 4.04). FRS underestimated the risk of CVD events in patients with sarcoidosis by gender, age and severity of sarcoidosis. The predicted number of CVD events among cases by ACC/AHA risk score was 4.6 and the observed number of CVD events was 19, corresponding to an SIR of 4.11 (95% confidence interval 2.62 to 6.44). In conclusion, the FRS and the ACC/AHA risk score underestimate the risk of CVD in patients with sarcoidosis.

Indexed as

AdultAgedCardiovascular DiseasesFemaleHumansIncidenceMaleMiddle AgedMinnesotaReproducibility of ResultsRetrospective StudiesRisk AssessmentRisk FactorsSarcoidosis

Identifiers

PMID28705378
PMCPMC5564423
OpenAlexW2625119523

What OpenQuestion holds

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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.