Evidence map›Paper›PMID 37620933›Full record

ArticleCardiovascular diabetology2023

Circulating PCSK9 as a prognostic biomarker of cardiovascular events in individuals with type 2 diabetes: evidence from a 16.8-year follow-up study.

Massimiliano Ruscica, Chiara Macchi, Angelica Giuliani, Alessandra Stefania Rizzuto, Deborah Ramini, Matilde Sbriscia, Stefano Carugo, Anna Rita Bonfigli, Alberto Corsini, Fabiola Olivieri and 1 more

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In one paragraph

Article in Cardiovascular diabetology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
13.3field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 citations in OpenAlex.

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  15. Prognostic Value ofCancers · 2024
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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

11 authors at 4 institutions in 1 country.

Massimiliano RuscicaDepartment of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy. massimiliano.ruscica@unimi.it.
Chiara MacchiDepartment of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy.
Angelica GiulianiDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.
Alessandra Stefania RizzutoDepartment of Clinical Sciences and Community Health, Università degli Studi di Milano, Milan, Italy.
Deborah RaminiClinic of Laboratory and Precision Medicine, IRCCS INRCA, Ancona, Italy.
Matilde SbrisciaDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.
Stefano CarugoDepartment of Cardio-Thoracic-Vascular Diseases, Foundation IRCCS Cà Granda Ospedale Maggiore Policlinico, Milan, Italy.
Anna Rita BonfigliScientific Direction, IRCCS INRCA, Ancona, Italy.
Alberto CorsiniDepartment of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan, Italy.
Fabiola OlivieriDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy.
Jacopo SabbatinelliDepartment of Clinical and Molecular Sciences, Università Politecnica Delle Marche, Via Tronto 10/A, 60126, Ancona, Italy. j.sabbatinelli@univpm.it.
University of Milan · ITIstituti di Ricovero e Cura a Carattere Scientifico · ITMarche Polytechnic University · ITIstituto Nazionale di Riposo e Cura per Anziani · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAtherosclerotic cardiovascular disease (ASCVD) is the leading cause of morbidity and mortality, being twofold to fourfold more common in patients with type 2 diabetes mellitus (T2DM) than in individuals without diabetes. However, despite this decade-old knowledge, the identification of a specific prognostic risk biomarker remains particularly challenging.

methodsTaking advantage of a large sample of Caucasian patients (n = 529) with a diagnosis of T2DM followed for a median of 16.8 years, the present study was aimed at testing the hypothesis that fasting serum proprotein convertase subtilisin/kexin type 9 (PCSK9) levels could be prognostic for major adverse cardiovascular events (MACE) and all-cause mortality.

resultsMedian levels of PCSK9 were 259.8 ng/mL, being higher in women compared to men and increasing even more in the presence of a complication (e.g., diabetic kidney disease). PCSK9 positively correlated with markers of blood glucose homeostasis (e.g., HbA1c, fasting insulin and HOMA-IR) and the atherogenic lipid profile (e.g., non-HDL-C, apoB and remnant cholesterol). Serum PCSK9 predicted new-onset of MACE, either fatal or non-fatal, only in women (Odds Ratio: 2.26, 95% CI 1.12-4.58) and all-cause mortality only in men (Hazard Ratio: 1.79, 95% CI 1.13-2.82).

conclusionsConsidering that up to two-thirds of individuals with T2DM develop ASCVD in their lifetime, the assessment of circulating PCSK9 levels can be envisioned within the context of a biomarker-based strategy of risk stratification. However, the sex difference found highlights an urgent need to develop sex-specific risk assessment strategies.

trial registrationIt is a retrospective study.

Indexed as

AtherosclerosisDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansMalePrognosisProprotein Convertase 9Retrospective StudiesPCSK9 protein, humanProprotein Convertase 9All-cause mortalityCardiovascular riskMajor adverse cardiovascular eventsProprotein Convertase Subtilisin/kexin type 9Type 2 diabetes mellitus

Identifiers

PMID37620933
PMCPMC10464486
OpenAlexW4386119494

What Socratic holds

Textfull text, public
LicenceCC BY
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 Socratic graph.