Evidence map›Paper›PMID 39479072›Full record

ReviewCureus2024

Coronary Artery Calcification in Rheumatoid Arthritis Patients: A Systematic Review.

Stephanie Nagy, Jordan Ditchek, Marc M Kesselman

Abstract readReview
In one paragraph

Review in Cureus, 2024. 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. Review
  2. Review
  3. Review
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.

Stephanie NagyRheumatology, Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Davie, USA.
Jordan DitchekRadiology, Dr. Kiran C. Patel College of Allopathic Medicine, Nova Southeastern University, Davie, USA.
Marc M KesselmanRheumatology, Kiran C. Patel College of Osteopathic Medicine, Nova Southeastern University, Davie, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatoid arthritis (RA) is one of the leading autoimmune causes of inflammatory arthropathy worldwide. The musculoskeletal impacts of RA are well described within the literature. More recently, research efforts have highlighted that inflammation associated with the condition is not solely isolated to the joint synovium. Specifically, data has demonstrated that the cardiovascular system is negatively impacted by inflammation tied to RA, with adverse cardiovascular outcomes considered the leading cause of mortality among patients with RA. One approach to determine the risk for cardiovascular disease (CVD) is computed tomography (CT) coronary angiography, a noninvasive imaging approach that analyzes the calcifications within the coronary vessels. This has increasingly been utilized to analyze plaque burden and vessel obstruction, which is measured using the coronary artery calcium (CAC) score. A total of 305 articles were analyzed, and 11 articles were selected for this review based on inclusion and exclusion criteria. The results indicated that nearly 60% of patients with RA experienced an elevated CAC score. As such, patients with RA likely carry a higher risk for adverse cardiovascular outcomes as compared to their healthy counterparts. Additional research is warranted based on these findings to determine whether the addition of CT coronary angiography and analysis of laboratory markers for CVD, including lipid markers in standard protocols for RA comorbid assessment, would help to reduce adverse cardiovascular complications.

Indexed as

autoimmune diseasescardiovascular diseasecoronary artery calcificationct coronary calcium scorerheumatoid arthritis

Identifiers

PMID39479072
PMCPMC11524640

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.