Evidence map›Paper›PMID 36431309›Full record

ArticleJournal of clinical medicine2022

Cardiovascular Risk Profile and Lipid Management in the Population-Based Cohort Study LATINO: 20 Years of Real-World Data.

Cristina Gavina, Daniel Seabra Carvalho, Marisa Pardal, Marta Afonso-Silva, Diana Grangeia, Ricardo Jorge Dinis-Oliveira, Francisco Araújo, Tiago Taveira-Gomes

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Lipid-lowering prescription patterns after a non-fatal acute coronary syndrome: A retrospective cohort study.International journal of cardiology. Cardiovascular risk and prevention · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. 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

8 authors.

Cristina GavinaCardiology Department, Pedro Hispano Hospital, Senhora da Hora, 4464-513 Matosinhos, Portugal.
Daniel Seabra CarvalhoCardiology Department, Pedro Hispano Hospital, Senhora da Hora, 4464-513 Matosinhos, Portugal.
Marisa PardalNovartis Farma, Produtos Farmacêuticos S.A., 2740-255 Porto Salvo, Portugal.ORCID 0000-0001-7068-3132
Marta Afonso-SilvaNovartis Farma, Produtos Farmacêuticos S.A., 2740-255 Porto Salvo, Portugal.
Diana GrangeiaNovartis Farma, Produtos Farmacêuticos S.A., 2740-255 Porto Salvo, Portugal.
Ricardo Jorge Dinis-OliveiraMTG Research and Development Lab, 4200-604 Porto, Portugal.ORCID 0000-0001-7430-6297
Francisco AraújoHospital Lusíadas, 1500-458 Lisboa, Portugal.
Tiago Taveira-GomesDepartment of Community Medicine, Information and Decision in Health, Faculty of Medicine, University of Porto, 4050-313 Porto, Portugal.ORCID 0000-0002-0998-6000

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rising prevalence of cardiovascular (CV) risk factors in Portugal has translated into more than 35,000 annual deaths due to CV diseases. We performed a multicenter observational cohort study encompassing clinical activities performed between 2000 and 2019 to characterize the CV risk profile and LDL-C management of patients in every CV risk category using electronic health records of a regional population in Portugal. We analyzed data from 14 health centers and 1 central hospital in the north of Portugal of patients between 40 and 80 years that had at least 1 family medicine appointment at these institutions. Living patients were characterized on 31 December 2019. CV risk assessment was computed according to the 2019 ESC/EAS Guidelines. Lipid-lowering therapy (LLT) and achievement of LDL-C targets were assessed. In total, the analysis included 78,459 patients. Patient proportions were 33%, 29%, 22%, and 17% for low, intermediate, high, and very high CV risk, respectively. Moderate-intensity statins were the most frequently used medication across all CV risk categories. High-intensity statins were used in 5% and 10% of high and very high CV risk patients, respectively. Ezetimibe was used in 6% and 10% of high and very high CV risk patients, respectively. LDL-C targets were achieved in 44%, 27%, 7%, and 3% of low, intermediate, high, and very high CV risk patients, respectively. For uncontrolled patients in the high and very high CV risk categories, a median LDL-C reduction of 44% and 53%, respectively, would be required to meet LDL-C targets. There are clear opportunities to optimize LDL-C management in routine clinical practice. The prescription of LLT according to CV risk represents an important missed treatment opportunity.

Indexed as

ASCVDCV risk categoriesdyslipidemiaLDL-C managementreal-world evidence

Identifiers

PMID36431309
PMCPMC9692709

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Registered trials

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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.