Evidence map›Paper›PMID 26467171›Full record

ArticleThe international journal of cardiovascular imaging2016

Dyspnea predicts mortality among patients undergoing coronary computed tomographic angiography.

Rine Nakanishi, Heidi Gransar, Alan Rozanski, Jamal S Rana, Victor Y Cheng, Louise E J Thomson, Romalisa Miranda-Peats, Damini Dey, Sean W Hayes, John D Friedman and 2 more

Abstract read
PubMed Publisher
In one paragraph

Article in The international journal of cardiovascular imaging, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Increasing frequency of dyspnea among patients referred for cardiac stress testing.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  2. 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

12 authors.

Rine NakanishiDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Heidi GransarDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Alan RozanskiDivision of Cardiology, St. Luke's Roosevelt Hospital, New York, NY, USA.
Jamal S RanaDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Victor Y ChengDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Louise E J ThomsonDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Romalisa Miranda-PeatsDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Damini DeyDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
Sean W HayesDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
John D FriedmanDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA.
James K MinDepartment of Public Health, Weill Cornell Medical College and the New York Presbyterian Hospital, New York, NY, USA.
Daniel S BermanDepartment of Imaging and Medicine, Cedars-Sinai Heart Institute, Cedars-Sinai Medical Center, 8700 Beverly Boulevard, Los Angeles, CA, 90048, USA. Daniel.Berman@cshs.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognostic implications of dyspnea and typical angina in patients referred for coronary CT angiography have not been examined. We examined features associated with incident mortality risk among individuals undergoing coronary computed tomographic angiography (CCTA) presenting with dyspnea, typical angina, and neither of these symptoms. 1147 consecutive individuals without known CAD (mean 61 years, 61.6 %men) undergoing CCTA comprised the study population 132 with dyspnea, 218 with typical angina, and 797 without dyspnea or typical angina (reference group). Mortality risk in relation to dyspnea or typical angina was evaluated with multivariable Cox proportional hazards models compared to reference. In addition, the prognosis associated with dyspnea or typical angina was assessed among age matched subgroups. Patients with dyspnea had a greater prevalence of C70 % stenosis (p\0.001) and coronary segments with plaque (p = 0.02) compared to the other two groups. During a follow-up of 3.1 years, 52 individuals died. By multivariable Cox models, compared to patients in reference group, dyspnea patients experienced higher mortality (HR 2.0, 95 % CI 1.0–4.0, p = 0.049) while typical angina patients did not (HR 1.1, 95 % CI 0.6–2.3, p = 0.76). In the matched group, the patients with dyspnea (HR 2.2, 95 % CI 1.1–4.3, p = 0.03) still had significantly reduced survival compared to the other two groups, while those with typical angina did not (HR 1.2, 95 % CI 0.6–2.6,p = 0.62). Dyspnea is associated with increased mortality ate compared to patients with typical angina and those with neither of these symptoms among patients undergoing CCTA.

Indexed as

Coronary AngiographyTomography, X-Ray ComputedAgedAngina PectorisCausalityComorbidityCoronary Artery DiseaseDyspneaFemaleHumansLos AngelesMaleMiddle AgedProportional Hazards Models

Identifiers

What OpenQuestion holds

Textmetadata
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.