Evidence map›Paper›PMID 28875364›Full record

ArticleEuropean radiology2018

Age- and sex-based resource utilisation and costs in patients with acute chest pain undergoing cardiac CT angiography: pooled evidence from ROMICAT II and ACRIN-PA trials.

Fabian Bamberg, Thomas Mayrhofer, Maros Ferencik, Daniel O Bittner, Travis R Hallett, Sumbal Janjua, Christopher L Schlett, John T Nagurney, James E Udelson, Quynh A Truong and 4 more

Open access · greenAbstract read
In one paragraph

Article in European radiology, 2018. 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
1.1field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Observational
  3. Prognostic value of myocardial flow reserve derived by quantitative SPECT for patients with intermediate coronary stenoses.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. 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

14 authors at 10 institutions in 2 countries.

Fabian BambergCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. fabian.bamberg@uni-tuebingen.de.
Thomas MayrhoferCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Maros FerencikCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Daniel O BittnerCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Travis R HallettCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Sumbal JanjuaCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Christopher L SchlettCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
John T NagurneyDepartment of Emergency Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
James E UdelsonDivision of Cardiology and the Cardio-Vascular Center, Tufts Medical Center, Boston, MA, USA.
Quynh A TruongWeill Cornell Medical College, New York, NY, USA.
Pamela K WoodardMallinckrodt Institute of Radiology, Washington University School of Medicine, St. Louis, MO, USA.
Judd E HollanderDepartment of Emergency Medicine, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, PA, USA.
Harold LittDepartment of Radiology and Division of Cardiovascular Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
Udo HoffmannCardiac MR PET CT Program, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Harvard University · USMassachusetts General Hospital · USCornell University · USMallinckrodt (United States) · USOregon Health & Science University · USThomas Jefferson University · USTufts Medical Center · USUniversitätsklinikum Erlangen · DEUniversity of Applied Sciences Stralsund · DEUniversity of Pennsylvania · US

Funding

HARVARD CLINICAL AND TRANSLATIONAL SCIENCE CENTER (UL1)UL1RR025758 · NCRR · HARVARD MEDICAL SCHOOL · PI NADLER, LEE MARSHALL · 2008 to 2011
$91.4M
ROMICAT II - CCC - Lead ApplicationU01HL092040 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2009 to 2013
$4.9M
Cardiac MR and CT ResearchT32HL076136 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI NEILAN, TOMAS G · 2004 to 2019
$4.9M
Rule-Out Myocardial Infarction Using Computed Assisted Tomography-ROMICATII,DCCU01HL092022 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI SCHOENFELD, DAVID ALAN · 2009 to 2012
$1.2M
Cardiovascular Imaging in Ischemic Heart DiseaseK24HL113128 · NHLBI · MASSACHUSETTS GENERAL HOSPITAL · PI HOFFMANN, UDO · 2012 to 2020
$1.1M
Computed Tomography to Predict Response to Cardiac Resynchronization TherapyK23HL098370 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI TRUONG, QUYNH A. · 2010 to 2014
$816k
American College of Radiology Imaging Network SAP4100042725NCRR NIH HHS UL1 RR025758NHLBI NIH HHS K23 HL098370NHLBI NIH HHS K24 HL113128NHLBI NIH HHS T32 HL076136NHLBI NIH HHS U01 HL092022NHLBI NIH HHS U01 HL092040NHLBI NIH HHS U01HL092040 and U01HL092022NHLBI NIH HHS UL1RR025758, K23HL098370, and L30HL093896,NIH HHS K24HL113128 and T32HL076136
6 · The paper itself

Abstract

objectivesTo determine resource utilisation according to age and gender-specific subgroups in two large randomized diagnostic trials.

methodsWe pooled patient-specific data from ACRIN-PA 4005 and ROMICAT II that enrolled subjects with acute chest pain at 14 US sites. Subjects were randomized between a standard work-up and a pathway utilizing cardiac computed tomography angiography (CCTA) and followed for the occurrence of acute coronary syndrome (ACS) and resource utilisation during index hospitalisation and 1-month follow-up. Study endpoints included diagnostic accuracy of CCTA for the detection of ACS as well as resource utilisation.

resultsAmong 1240 patients who underwent CCTA, negative predictive value of CCTA to rule out ACS remained very high (≥99.4%). The proportion of patients undergoing additional diagnostic testing and cost increased with age for both sexes (p < 0.001), and was higher in men as compared to women older than 60 years (43.1% vs. 23.4% and $4559 ± 3382 vs. $3179 ± 2562, p < 0.01; respectively). Cost to rule out ACS was higher in men (p < 0.001) and significantly higher for patients older than 60 years ($2860-5935 in men, p < 0.001).

conclusionsCCTA strategy in patients with acute chest pain results in varying resource utilisation according to age and gender-specific subgroups, mandating improved selection for advanced imaging. KEY POINTS: • In this analysis, CAD and ACS increased with age and male gender. • CCTA in patients with acute chest pain results in varying resource utilisation. • Significant increase of diagnostic testing and cost with age for both sexes. • Cost to rule out ACS is higher in men and patients >60 years. • Improved selection of subjects for cardiac CTA result in more resource-driven implementation.

Indexed as

Acute Coronary SyndromeAge FactorsChest PainComputed Tomography AngiographyCoronary AngiographyFemaleHealth Care CostsHospitalizationHumansMaleMiddle AgedSex FactorsAcute chest painCoronary CT angiographyCoronary stenosisCost analysisTest utilisation

Identifiers

PMID28875364
PMCPMC8382042
OpenAlexW2753629057

What OpenQuestion holds

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Registered trials

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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.