Evidence map›Paper›PMID 32845900›Full record

ArticlePLoS medicine2020

Projections of incident atherosclerotic cardiovascular disease and incident type 2 diabetes across evolving statin treatment guidelines and recommendations: A modelling study.

Joseph C Engeda, Stefan K Lhachimi, Wayne D Rosamond, Jennifer L Lund, Thomas C Keyserling, Monika M Safford, Lisandro D Colantonio, Paul Muntner, Christy L Avery

Open access · goldFull text read
In one paragraph

Article in PLoS medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 36% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. 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

9 authors at 4 institutions in 2 countries.

Joseph C EngedaDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0001-9540-7636
Stefan K LhachimiResearch Group Evidence-Based Public Health, Leibniz Institute for Epidemiology and Prevention Research (BIPS), Bremen, Germany.ORCID 0000-0001-8597-0935
Wayne D RosamondDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Jennifer L LundDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-1108-0689
Thomas C KeyserlingDivision of General Medicine and Clinical Epidemiology, University of North Carolina, Chapel Hill, North Carolina, United States of America.
Monika M SaffordDivision of General Internal Medicine, Weill Cornell Medical College, New York, New York, United States of America.ORCID 0000-0002-3060-0563
Lisandro D ColantonioDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.ORCID 0000-0001-8742-1788
Paul MuntnerDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, Alabama, United States of America.
Christy L AveryDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-1044-8162
University of North Carolina at Chapel Hill · USUniversity of Alabama at Birmingham · USCornell University · USUniversity of Bremen · DE

Funding

University of Alabama at Birmingham's Diabetes Research CenterP30DK079626 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2013 to 2026
$19.5M
Cardiovascular Epidemiology Training GrantT32HL007055 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Wayne D. Rosamond · 1986 to 2026
$10.0M
Translational Epidemiology - Training for Research on Aging and Chronic diseaseT32AG049663 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Elizabeth Rose Mayeda, Mark J Pletcher · 2016 to 2026
$5.8M
Program Development (Pilot) CoreP30AG066615 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELIZABETH A FRANKENBERG · 2020 to 2026
$4.1M
NHLBI NIH HHS T32 HL007055NIA NIH HHS T32 AG049663NIDDK NIH HHS P30 DK079626
6 · The paper itself

Abstract

backgroundExperimental and observational research has suggested the potential for increased type 2 diabetes (T2D) risk among populations taking statins for the primary prevention of atherosclerotic cardiovascular disease (ASCVD). However, few studies have directly compared statin-associated benefits and harms or examined heterogeneity by population subgroups or assumed treatment effect. Thus, we compared ASCVD risk reduction and T2D incidence increases across 3 statin treatment guidelines or recommendations among adults without a history of ASCVD or T2D who were eligible for statin treatment initiation. METHODS AND

findingsSimulations were conducted using Markov models that integrated data from contemporary population-based studies of non-Hispanic African American and white adults aged 40-75 years with published meta-analyses. Statin treatment eligibility was determined by predicted 10-year ASCVD risk (5%, 7.5%, or 10%). We calculated the number needed to treat (NNT) to prevent one ASCVD event and the number needed to harm (NNH) to incur one incident case of T2D. The likelihood to be helped or harmed (LHH) was calculated as ratio of NNH to NNT. Heterogeneity in statin-associated benefit was examined by sex, age, and statin-associated T2D relative risk (RR) (range: 1.11-1.55). A total of 61,125,042 U.S. adults (58.5% female; 89.4% white; mean age = 54.7 years) composed our primary prevention population, among whom 13-28 million adults were eligible for statin initiation. Overall, the number of ASCVD events prevented was at least twice as large as the number of incident cases of T2D incurred (LHH range: 2.26-2.90). However, the number of T2D cases incurred surpassed the number of ASCVD events prevented when higher statin-associated T2D RRs were assumed (LHH range: 0.72-0.94). In addition, females (LHH range: 1.74-2.40) and adults aged 40-50 years (LHH range: 1.00-1.14) received lower absolute benefits of statin treatment compared with males (LHH range: 2.55-3.00) and adults aged 70-75 years (LHH range: 3.95-3.96). Projected differences in LHH by age and sex became more pronounced as statin-associated T2D RR increased, with a majority of scenarios projecting LHHs < 1 for females and adults aged 40-50 years. This study's primary limitation was uncertainty in estimates of statin-associated T2D risk, highlighting areas in which additional clinical and public health research is needed.

conclusionsOur projections suggest that females and younger adult populations shoulder the highest relative burden of statin-associated T2D risk.

Indexed as

Markov ChainsAdultAgedAtherosclerosisCardiovascular DiseasesDiabetes Mellitus, Type 2FemaleHumansHydroxymethylglutaryl-CoA Reductase InhibitorsIncidenceMaleMiddle AgedObservational Studies as TopicPractice Guidelines as TopicRandomized Controlled Trials as TopicTreatment OutcomeHydroxymethylglutaryl-CoA Reductase Inhibitors

Identifiers

PMID32845900
PMCPMC7449387
OpenAlexW3081482107

What Socratic holds

Textfull text, public
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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 Socratic graph.