Evidence map›Paper›PMID 36573190›Full record

ArticleInternational journal of cardiology. Cardiovascular risk and prevention2022

A tool to help patients visualize ASCVD risk and the potential impact of risk-lowering interventions.

Keegan Mendez, Manas Rane, Ariela R Orkaby, J Michael Gaziano

Open access · goldAbstract read
In one paragraph

Article in International journal of cardiology. Cardiovascular risk and prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.1field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Observational
  3. Article
  4. Article
  5. 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

4 authors at 2 institutions in 1 country.

Keegan MendezHarvard-MIT Program in Health Sciences and Technology, Cambridge, MA, USA.
Manas RaneVA Boston Healthcare System, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
Ariela R OrkabyNew England GRECC (Geriatric Research Education and Clinical Center) VA Boston Healthcare System, Boston, MA, USA.
J Michael GazianoMassachusetts Veterans Epidemiology Research and Information Center (MAVERIC), VA Boston Healthcare System, Boston, MA, USA.
Brigham and Women's Hospital · USHarvard–MIT Division of Health Sciences and Technology · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Risk assessment is a fundamental step in the current approach to primary prevention of atherosclerotic cardiovascular disease (ASCVD). When considering pharmacotherapy for primary prevention of ASCVD, current prevention guidelines in the United States recommend the use of the pooled cohort equations (PCE) to assess 10-year ASCVD risk and begin the important process of shared decision-making between patients and clinicians. Clinicians should support patients in the decisionmaking process by turning raw data into information that is easily understood and more effectively utilized for decisions around the treatment plan. In this work, we present a tool to help patients visualize ASCVD risk and the projected impact of risk-lowering interventions. We believe this visual tool can facilitate communication of ASCVD risk to patients, and improve patient understanding of risk and the potential impact of risklowering interventions, which we believe may help patients make more informed, empowered decisions that achieve greater risk reduction.

Indexed as

ASCVDASCVD, Atherosclerotic Cardiovascular DiseasePreventive cardiologyRisk visualization

Identifiers

PMID36573190
PMCPMC9789346
OpenAlexW4309569182

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.