Evidence map›Paper›PMID 35393245›Full record

Trial reportJournal of cardiovascular computed tomography

Are risk factors necessary for pretest probability assessment of coronary artery disease? A patient similarity network analysis of the PROMISE trial.

Márton Kolossváry, Thomas Mayrhofer, Maros Ferencik, Júlia Karády, Neha J Pagidipati, Svati H Shah, Michael G Nanna, Borek Foldyna, Pamela S Douglas, Udo Hoffmann and 1 more

Open access · greenAbstract readClinical Trial
In one paragraph

Trial report in Journal of cardiovascular computed tomography. 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
0.9field-weighted citation impact, top 29% 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, 7 citations in OpenAlex.

  1. Observational
  2. Article
  3. One step closer to quantifying 'clinical likelihood' in pre-test probability.European heart journal. Quality of care & clinical outcomes · 2022
    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

11 authors at 3 institutions in 2 countries.

Márton KolossváryCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: mkolossvary@mgh.harvard.edu.
Thomas MayrhoferCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; School of Business Studies, Stralsund University of Applied Sciences, Stralsund, Germany.
Maros FerencikCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA; Knight Cardiovascular Institute, Oregon Health and Science University, Portland, OR, USA.
Júlia KarádyCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Neha J PagidipatiDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Svati H ShahDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Michael G NannaSection of Cardiovascular Medicine, Yale School of Medicine, New Haven, CT, USA.
Borek FoldynaCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Pamela S DouglasDuke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA.
Udo HoffmannCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Michael T LuCardiovascular Imaging Research Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USDuke University · USYale University · US

Funding

PROMISE Trial: Clinical Coordinating CenterR01HL098237 · NHLBI · DUKE UNIVERSITY · PI DOUGLAS, PAMELA SUSAN · 2009 to 2014
$27.3M
PROMISE Trial: SDCCR01HL098236 · NHLBI · DUKE UNIVERSITY · PI LEE, KERRY L · 2009 to 2014
$5.0M
PROMISE Trial: Dx CoreR01HL098305 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2009 to 2014
$3.5M
PROMISE Trial: EQOL Coordinating CenterR01HL098235 · NHLBI · DUKE UNIVERSITY · PI MARK, DANIEL B · 2009 to 2014
$1.6M
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 R01 HL098235NHLBI NIH HHS R01 HL098236NHLBI NIH HHS R01 HL098237NHLBI NIH HHS R01 HL098305NIA NIH HHS R03 AG074067
6 · The paper itself

Abstract

backgroundPretest probability (PTP) calculators utilize epidemiological-level findings to provide patient-level risk assessment of obstructive coronary artery disease (CAD). However, their limited accuracies question whether dissimilarities in risk factors necessarily result in differences in CAD. Using patient similarity network (PSN) analyses, we wished to assess the accuracy of risk factors and imaging markers to identify ≥50% luminal narrowing on coronary CT angiography (CCTA) in stable chest-pain patients.

methodsWe created four PSNs representing: patient characteristics, risk factors, non-coronary imaging markers and calcium score. We used spectral clustering to group individuals with similar risk profiles. We compared PSNs to a contemporary PTP score incorporating calcium score and risk factors to identify ≥50% luminal narrowing on CCTA in the CT-arm of the PROMISE trial. We also conducted subanalyses in different age and sex groups.

resultsIn 3556 individuals, the calcium score PSN significantly outperformed patient characteristic, risk factor, and non-coronary imaging marker PSNs (AUC: 0.81 vs. 0.57, 0.55, 0.54; respectively, p ​< ​0.001 for all). The calcium score PSN significantly outperformed the contemporary PTP score (AUC: 0.81 vs. 0.78, p ​< ​0.001), and using 0, 1-100 and ​> ​100 cut-offs provided comparable results (AUC: 0.81 vs. 0.81, p ​= ​0.06). Similar results were found in all subanalyses.

conclusionCalcium score on its own provides better individualized obstructive CAD prediction than contemporary PTP scores incorporating calcium score and risk factors. Risk factors may not be able to improve the diagnostic accuracy of calcium score to predict ≥50% luminal narrowing on CCTA.

Indexed as

Coronary Artery DiseaseCoronary StenosisCalciumComputed Tomography AngiographyCoronary AngiographyFemaleHumansMalePredictive Value of TestsRisk AssessmentRisk FactorsCalciumCalcium scoreCoronary artery diseaseDiagnostic accuracyNetwork analysisPatient similarity networkPretest probability

Identifiers

PMID35393245
PMCPMC9452442
OpenAlexW4221047854

What OpenQuestion holds

Textmetadata
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.