Evidence map›Paper›PMID 38016710›Full record

ArticleRMD open2023

Cardiovascular risk assessment in patients with antiphospholipid syndrome: a cross-sectional performance analysis of nine clinical risk prediction tools.

George C Drosos, George Konstantonis, Petros P Sfikakis, Maria G Tektonidou

Open access · goldAbstract read
In one paragraph

Article in RMD open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Proceedings of the 2Mediterranean journal of rheumatology · 2026
    Article
  3. Article
  4. 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

4 authors at 1 institution in 2 countries.

George C DrososCardiovascular Risk Research Laboratory, First Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
George KonstantonisCardiovascular Risk Research Laboratory, First Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
Petros P SfikakisCardiovascular Risk Research Laboratory, First Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens School of Medicine, Athens, Greece.
Maria G TektonidouCardiovascular Risk Research Laboratory, First Department of Propaedeutic Internal Medicine, National and Kapodistrian University of Athens School of Medicine, Athens, Greece mtektonidou@gmail.com.ORCID 0000-0003-2238-0975
National and Kapodistrian University of Athens · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to assess the performance of cardiovascular risk (CVR) prediction models reported by European Alliance of Associations for Rheumatology and European Society of Cardiology recommendations to identify high-atherosclerotic CVR (ASCVR) patients with antiphospholipid syndrome (APS).

methodsSix models predicting the risk of a first cardiovascular disease event (first-CVD) (Systematic Coronary Risk Evaluation (SCORE); modified-SCORE; Framingham risk score; Pooled Cohorts Risk Equation; Prospective Cardiovascular Münster calculator; Globorisk), three risk prediction models for patients with a history of prior arterial events (recurrent-CVD) (adjusted Global APS Score (aGAPSS); aGAPSS

resultsSpiegelhalter's z-test p values 0.47-0.57, area under the receiver-operating characteristics curve (AUROC) 0.56-0.75 and Matthews correlation coefficient (MCC) 0.01-0.35 indicated moderate calibration, poor-to-acceptable discrimination and negligible-to-moderate classification accuracy, respectively, for all risk models. Among recurrent-CVD tools, SMART and aGAPSS

conclusionClinical CVR prediction tools underestimate actual high ASCVR in APS. VUS may help to improve CVR assessment and optimal risk factor management.

Indexed as

Antiphospholipid SyndromeCardiovascular DiseasesAdultCross-Sectional StudiesFemaleHeart Disease Risk FactorsHumansMiddle AgedProspective StudiesRisk FactorsAntiphospholipid SyndromeAtherosclerosisCardiovascular DiseaseUltrasonography

Identifiers

PMID38016710
PMCPMC10685980
OpenAlexW4389092607

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.