Evidence map›Paper›PMID 37521245›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2023

Residual cardiovascular risk, use of standard care treatments, and achievement of treatment goals in patients with cardiovascular disease.

Daniel Siniawski, Gerardo Masson, Walter Masson, Leandro Barbagelata, Josefina Destaville, Santiago Lynch, Laura Vitagliano, Josefina Belén Parodi, Felipe Berton, Agustin Indavere and 2 more

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
9.7field-weighted citation impact, top 2% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. [Costs of pharmacological treatment in hypertension and type 2 diabetes mellitus].Revista medica del Instituto Mexicano del Seguro Social · 2026
    Observational
  3. Article
  4. Article
  5. Review
  6. Article
  7. New Modifiable Risk Factors Influencing Coronary Artery Disease Severity.International journal of molecular sciences · 2024
    Review
  8. Article
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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

12 authors at 2 institutions in 1 country.

Daniel SiniawskiConsejo de Epidemiología y Prevención Cardiovascular, Sociedad Argentina de Cardiología, Buenos Aires, Argentina.
Gerardo MassonConsejo de Epidemiología y Prevención Cardiovascular, Sociedad Argentina de Cardiología, Buenos Aires, Argentina.
Walter MassonConsejo de Epidemiología y Prevención Cardiovascular, Sociedad Argentina de Cardiología, Buenos Aires, Argentina.
Leandro BarbagelataServicio de Cardiología, Hospital Italiano de Buenos Aires, Buenos Aires, Argentina.
Josefina DestavilleServicio de Cardiología, Instituto Cardiovascular Lezica, San Isidro, Buenos Aires, Argentina.
Santiago LynchServicio de Cardiología, Instituto Cardiovascular San Isidro - Sanatorio Las Lomas, San Isidro, Buenos Aires, Argentina.
Laura VitaglianoConsejo de Epidemiología y Prevención Cardiovascular, Sociedad Argentina de Cardiología, Buenos Aires, Argentina.
Josefina Belén ParodiServicio de Cardiología, Instituto Cardiovascular Lezica, San Isidro, Buenos Aires, Argentina.
Felipe BertonServicio de Cardiología, Instituto Cardiovascular Lezica, San Isidro, Buenos Aires, Argentina.
Agustin IndavereServicio de Cardiología, Instituto Cardiovascular Lezica, San Isidro, Buenos Aires, Argentina.
Teo EpsteinServicio de Cardiología, Instituto Cardiovascular Lezica, San Isidro, Buenos Aires, Argentina.
Melina HuerinConsejo de Epidemiología y Prevención Cardiovascular, Sociedad Argentina de Cardiología, Buenos Aires, Argentina.
Instituto Cardiovascular de Buenos Aires · ARHospital Italiano de Buenos Aires · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Residual risk management in patients with previous cardiovascular disease (CVD) is a relevant issue. Objectives: 1) to assess the residual risk of patients with CVD using the new scores developed to predict recurrent CVD events (SMART score/SMART-REACH model); 2) to determine the use of therapies with cardiovascular benefit and the achievement of therapeutic goals in patients with very high residual risk. Methods: A multicenter, descriptive, cross-sectional study was performed. Individuals over 18 years of age with CVD were included consecutively. The 10-year risk of recurrent events was estimated using the SMART score and the SMART-REACH model. A value ≥ 30% was considered "very high risk". Results: In total, 296 patients (mean age 68.2 ± 9.4 years, 75.7% men) were included. Globally, 32.43% and 64.53% of the population was classified as very high risk by the SMART score and the SMART-REACH model, respectively. Among patients classified as very high risk by the SMART score, 45.7% and 33.3% were treated with high-intensity statins and reached the goal of LDL-C <55 mg/dL, respectively. The results were similar when evaluating very high patients according to the SMART-REACH model (high-intensity statins: 59.7%; LDL-C <55 mg/dL: 43.9%). Few very high-risk patients with diabetes were receiving glucose-lowering drugs with demonstrated cardiovascular benefit. Conclusion: In this secondary prevention population, the residual risk was considerable. Underutilization of standard care treatments and failure to achieve therapeutic goals were evident even in subjects with very high residual risk.

Indexed as

Cardiovascular diseaseResidual riskScoresTherapeutic objectives

Identifiers

PMID37521245
PMCPMC10374461
OpenAlexW4384917790

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.