Evidence map›Paper›PMID 34953768›Full record

ArticleAmerican heart journal2022

The prospective randomized trial of the optimal evaluation of cardiac symptoms and revascularization: Rationale and design of the PRECISE trial.

Michael G Nanna, Sreekanth Vemulapalli, Christopher B Fordyce, Daniel B Mark, Manesh R Patel, Hussein R Al-Khalidi, Michelle Kelsey, Beth Martinez, Eric Yow, Sarah Mullen and 5 more

Registry-linked trialOpen access · hybridAbstract readClinical Trial Protocol
In one paragraph

Article in American heart journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03702244 (Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization), which is not on this map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.4field-weighted citation impact, top 11% 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.

NCT03702244 nacompletednot on this map

Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization

TypeinterventionalSponsorHeartFlow, Inc.Ran2018 to 2022Enrolled2,103ConditionsCoronary Artery DiseaseArmscCTA with selective FFRct
3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 23 citations in OpenAlex.

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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

15 authors at 7 institutions in 2 countries.

Michael G NannaSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT. Electronic address: michael.nanna@yale.edu.
Sreekanth VemulapalliDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Christopher B FordyceDivision of Cardiology, Vancouver General Hospital, University of British Columbia, Vancouver, British Columbia, Canada.
Daniel B MarkDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Manesh R PatelDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Hussein R Al-KhalidiDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Michelle KelseyDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Beth MartinezDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Eric YowDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Sarah MullenHeartFlow, Inc., Redwood City, CA.
Gregg W StoneIcahn School of Medicine at Mount Sinai, Mount Sinai Heart and the Cardiovascular Research Foundation, New York, NY.
Ori Ben-YehudaCardiovascular Research Foundation, New York, NY and the University of California, San Diego, CA.
James E UdelsonDivision of Cardiology and the CardioVascular Center, Tufts Medical Center, Boston, MA.
Campbell RogersHeartFlow, Inc., Redwood City, CA.
Pamela S DouglasDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC.
Duke University · USHeartFlow (United States) · USCardiovascular Research Foundation · USTufts Medical Center · USUniversity of British Columbia · CAUniversity of California San Diego · USYale University · US

Funding

Postdoctoral Training in Cardiovascular Clinical ResearchT32HL069749 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2003 to 2023
$6.7M
Generating novel predictive models to estimate the risk of future ASCVD & Dementia in older adultsR03AG074067 · NIA · YALE UNIVERSITY · PI NANNA, MICHAEL · 2021 to 2022
$335k
NHLBI NIH HHS T32 HL069749NIA NIH HHS R03 AG074067
6 · The paper itself

Abstract

backgroundClinicians vary widely in their preferred diagnostic approach to patients with non-acute chest pain. Such variation exposes patients to potentially avoidable risks, as well as inefficient care with increased costs and unresolved patient concerns.

methodsThe Prospective Randomized Trial of the Optimal Evaluation of Cardiac Symptoms and Revascularization (PRECISE) trial (NCT03702244) compares an investigational "precision" diagnostic strategy to a usual care diagnostic strategy in participants with stable chest pain and suspected coronary artery disease (CAD).

resultsPRECISE randomized 2103 participants with stable chest pain and a clinical recommendation for testing for suspected CAD at 68 outpatient international sites. The investigational precision evaluation strategy started with a pre-test risk assessment using the PROMISE Minimal Risk Tool. Those at lowest risk were assigned to deferred testing (no immediate testing), and the remainder received coronary computed tomographic angiography (cCTA) with selective fractional flow reserve (FFR

conclusionsPRECISE will determine whether a precision approach comprising a strategically deployed combination of risk-based deferred testing and cCTA with selective FFR

Indexed as

Coronary Artery DiseaseFractional Flow Reserve, MyocardialComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsProspective StudiesQuality of LifeRandomized Controlled Trials as Topic

Identifiers

PMID34953768
PMCPMC8979644
OpenAlexW4200199090

What OpenQuestion holds

Textmetadata
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Registered trials

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.