Evidence map›Paper›PMID 25713603›Full record

SynthesisJournal of medicine and life

Cardiovascular disease risk scores in the current practice: which to use in rheumatoid arthritis?

A Purcarea, S Sovaila, A Gheorghe, G Udrea, V Stoica

Abstract readMeta-AnalysisReview
In one paragraph

Synthesis in Journal of medicine and life. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

5 authors.

A PurcareaStrasbourg Medical University; Internal Medicine Department, Civil Hospital, Strasbourg, France.
S SovailaInternal Medicine Department, Civil Hospital, Strasbourg, France.
A GheorgheInternal Medicine Department, Hospital Geomed-Klinik, Gerolzhofen, Germany.
G Udrea"Carol Davila" University of Medicine and Pharmacy; Internal Medicine and Rheumatology Department,"Cantacuzino" Hospital, Bucharest, Romania.
V Stoica"Carol Davila" University of Medicine and Pharmacy; Internal Medicine and Rheumatology Department,"Cantacuzino" Hospital, Bucharest, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) is the highest prevalence disease in the general population (GP) and it accounts for 20 million deaths worldwide each year. Its prevalence is even higher in rheumatoid arthritis. Early detection of subclinical disease is critical and the use of cardiovascular risk prediction models and calculators is widely spread. The impact of such techniques in the GP was previously studied. Despite their common background and similarities, some disagreement exists between most scores and their importance in special high-risk populations like rheumatoid arthritis (RA), having a low level of evidence. The current article aims to single out those predictive models (models) that could be most useful in the care of rheumatoid arthritis patients.

Indexed as

Arthritis, RheumatoidCardiovascular DiseasesHumansModels, BiologicalPrevalenceRisk FactorsTreatment Outcomecardiovascular diseasechronic inflammatory diseasesrheumatoid arthritisrisk predictionrisk scores

Identifiers

PMID25713603
PMCPMC4316119

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.