Evidence map›Paper›PMID 35206926›Full record

ReviewHealthcare (Basel, Switzerland)2022

Cardiovascular Risk Prediction Parameters for Better Management in Rheumatic Diseases.

Abhinav Sharma, Ruxandra Christodorescu, Ahmad Agbariah, Daniel Duda-Seiman, Diala Dahdal, Dana Man, Nilima Rajpal Kundnani, Octavian Marius Cretu, Simona Dragan

Open access · goldAbstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Esophageal ulcer associated with mild hemophilia A: case report.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    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

9 authors at 2 institutions in 1 country.

Abhinav SharmaDepartment Cardiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-0865-0054
Ruxandra ChristodorescuDepartment 5 Internal Medicine, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0001-8267-5404
Ahmad AgbariahGeneral Medicine, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-7092-3156
Daniel Duda-SeimanDepartment Cardiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Diala DahdalGeneral Medicine, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Dana ManDepartment Cardiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Nilima Rajpal KundnaniDepartment of Functional Sciences, Physiology, Center of Immuno-Physiology and Biotechnologies (CIFBIOTEH), "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-2824-7182
Octavian Marius CretuDepartment of Surgery-I, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.
Simona DraganDepartment Cardiology, "Victor Babes" University of Medicine and Pharmacy, 300041 Timisoara, Romania.ORCID 0000-0002-3892-0211
Victor Babeș University of Medicine and Pharmacy Timișoara · ROArad County Clinical Hospital · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The early detection of cardiovascular disease (CVD) serves as a key element in preventive cardiology. The risk of developing CVD in patients with rheumatic disease is higher than that of the general population. Thus, the objective of this narrative review was to assess and describe updated risk-prediction parameters for CVD in patients suffering from rheumatic diseases, and, additionally, to evaluate therapeutic and risk management possibilities. The processes of recognizing CVD risk factors in rheumatic diseases, establishing diagnoses, and discovering CV risk assessments are currently displeasing in clinical practice; they have a limited clinical impact. A large number of references were found while screening PUBMED, Scopus, and Google scholar databases; the 47 most relevant references were utilized to build up this study. The selection was limited to English language full text articles, RCTs, and reviews published between 2011 and 2021. Multiple imaging techniques, such as ECG, ultrasound, and cIMT, as well as biomarkers like osteoprotegerin cytokine receptor and angiopoietin-2, can be beneficial in both CV risk prediction and in early subclinical diagnosis. Physical exercise is an essential non-pharmacological intervention that can maintain the health of the cardiovascular system and, additionally, influence the underlying disease. Lipid-lowering drugs (methotrexate from the non-biologic DMARDs family as well as biologic DMARDs such as anti-TNF) were all associated with a lower CV risk; however, anti-TNF medication can decrease cardiac compliance and promote heart failure in patients with previously diagnosed chronic HF. Although they achieved success rates in reducing inflammation, glucocorticoids, NSAIDs, and COX-2 inhibitors were correlated with an increased risk of CVD. When taking all of the aforementioned points into consideration, there appears to be a dire need to establish and implement CVD risk stratification models in rheumatic patients.

Indexed as

rheumatic diseasesrisk stratification

Identifiers

PMID35206926
PMCPMC8872463
OpenAlexW4210886580

What OpenQuestion holds

Textmetadata
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.