Evidence map›Paper›PMID 33452089›Full record

ArticleJournal of the American Board of Family Medicine : JABFM

Uptake of Statin Guidelines to Prevent and Treat Cardiovascular Disease.

Sebastian T Tong, Roy T Sabo, Camille J Hochheimer, E Marshall Brooks, Vivian Jiang, Alison N Huffstetler, Paulette Lail Kashiri, Alex H Krist

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of the American Board of Family Medicine : JABFM. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Observational
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.

Sebastian T TongFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
Roy T SaboFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
Camille J HochheimerFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
E Marshall BrooksFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
Vivian JiangFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
Alison N HuffstetlerFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
Paulette Lail KashiriFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).
Alex H KristFrom the Agency for Healthcare Research and Quality, Rockville, MD (STT); Virginia Commonwealth University, Richmond, VA (RTS, EMB, ANH, PLL, AHK); University of Virginia, Charlottesville, VA (CJH); University of Colorado, Boulder, CO (VJ).

Funding

Research Supplement to Promote Diversity in Health Related ResearchUL1TR002649 · NCATS · VIRGINIA COMMONWEALTH UNIVERSITY · PI MOELLER, FREDERICK GERARD · 2018 to 2022
$19.1M
Implementing Personal Health Records to Promote Evidence-Based Cancer ScreeningR01CA168795 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KRIST, ALEXANDER H · 2013 to 2017
$3.0M
AHRQ HHS R03 HS025032NCATS NIH HHS UL1 TR002649NCI NIH HHS R01 CA168795
6 · The paper itself

Abstract

introductionIn December 2013, cholesterol treatment guidelines changed the approach to statin therapy by recommending fixed doses of low-, medium-, or high-intensity statins based on cardiovascular risk. We sought to evaluate the guideline's adoption in a diverse group of practices.

methodsUsing a mixed-methods approach, we analyzed electronic health record data the year before and 2 years following guideline publication in 45 practices across 8 states. We examined associations based on patient, clinician, and practice characteristics and interviewed 24 clinicians and practice leaders to inform findings.

resultsThe proportion of patients adherent with all recommendations 2 years after the guideline only increased from 18.5% to 20.3% (

conclusionDespite general agreement with statin benefit, the guideline was poorly implemented. Marginal differences in statin use between the highest and lower risk strata of patients is concerning. Rather than intensifying statin potency and recommending more patients take statins, guidelines may want to focus on ensuring that those who will benefit most get treatment.

Indexed as

Cardiovascular DiseasesHydroxymethylglutaryl-CoA Reductase InhibitorsAmerican Heart AssociationCholesterolHumansCholesterolHydroxymethylglutaryl-CoA Reductase InhibitorsCardiovascular DiseasesChemopreventionImplementation ScienceStatins

Identifiers

PMID33452089
PMCPMC7847084

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
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.