Evidence map›Paper›PMID 35084670›Full record

ReviewCurrent cardiology reports2022

Contemporary Review of Risk Scores in Prediction of Coronary and Cardiovascular Deaths.

Jose B Cruz Rodriguez, Khan O Mohammad, Haider Alkhateeb

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Trial
  2. Article
  3. 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.

Jose B Cruz RodriguezDivision of Cardiovascular Diseases, Department of Internal Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA. jcruzrodriguez@health.ucsd.edu.ORCID 0000-0002-2022-6141
Khan O MohammadDepartment of Internal Medicine, Dell Seton Medical Center, at The University of Texas, Austin, TX, USA.
Haider AlkhateebDivision of Cardiovascular Diseases, Department of Internal Medicine, Texas Tech University Health Sciences Center, El Paso, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewExplore the current literature supporting risk stratification scores for prediction of coronary and cardiovascular disease deaths. RECENT

findingsAccurate risk prediction remains the foundation of management choice in primary prevention. When applied to new populations, the calibration of a predictive model will deteriorate, although discrimination changes minimally. One of the approaches with better performance and validation is the initial use of pooled cohort equation to identify low and high-risk patients, followed by coronary artery calcium scoring in those with borderline to intermediate risk. It is important to utilize a risk stratification tool that has been validated in a patient population that resembles the one used to develop the original tool to maintain adequate calibration. It is likely that the future of mortality risk prediction will develop in combined clinical risk predictors and cardiovascular imaging, such coronary artery calcium (CAC) scoring that renders the highest predictive accuracy.

Indexed as

Coronary Artery DiseaseVascular CalcificationCalciumCoronary AngiographyCoronary VesselsHumansPredictive Value of TestsRisk AssessmentRisk FactorsCalciumCardiovascular diseaseCoronary artery diseaseMortalityRiskScore

Identifiers

What OpenQuestion holds

Textmetadata
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.