Evidence map›Paper›PMID 33788067›Full record

ArticleThe Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology2021

Predicting the outcome in confirmed COVID-19 patients with coronary artery disease: a key role for the first chest computed tomography.

Negar Omidi, Masoumeh Lotfi-Tokaldany, Shapour Shirani, Mojtaba Salarifar, Hamidreza Poorhosseini, Seyyed Mojtaba Ghorashi, Afsaneh Aein

Open access · diamondAbstract read
In one paragraph

Article in The Egyptian heart journal : (EHJ) : official bulletin of the Egyptian Society of Cardiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 60% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

7 authors at 1 institution in 1 country.

Negar OmidiResearch Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Masoumeh Lotfi-TokaldanyResearch Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Shapour ShiraniImaging Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Mojtaba SalarifarImaging Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Hamidreza PoorhosseiniInterventional Cardiology Department, Tehran Heart Center, Tehran University of Medical Sciences, North Kargar Street, Tehran, 1411713138, Iran. poorhosseinihr@gmail.com.
Seyyed Mojtaba GhorashiCardiology Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Afsaneh AeinResearch Department, Tehran Heart Center, Tehran University of Medical Sciences, Tehran, Iran.
Tehran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSerial chest computed tomography (CT) scans are used to detect coronavirus disease 2019 (COVID-19) pneumonia and monitor the disease course. This study investigates relationship between total severity score by first chest CT and the outcome of coronavirus COVID-19 patients with coronary artery disease (CAD).

resultsA total of 48 patients with a history of CAD (mean age=60.83±3.06 years, 75% male) with positive real-time reverse transcription-polymerase chain reaction for COVID-19 were included. Outcome was defined as acute respiratory distress syndrome or death. The unadjusted and adjusted effects of the CT score on the outcome were reported through odds ratio (OR) with 95% confidence interval (CI). Outcome occurred in 17 (35.5%) patients (8 deaths). The CT score was directly and significantly correlated with the outcome in the univariate analysis (OR 1.38, 95% CI 1.12-1.70; P=0.003) and remained significant after adjustment for diabetes, hypertension, body mass index, and serum level of highly sensitive C-reactive protein (OR 1.51, 95% CI 1.11-2.05; P=0.009). Outcome rate was 24.1% in patients with a CT score <2.5, whereas it was 8.3% in patients with a CT score>2.5.

conclusionsThe first chest CT score could be a robust predictor of adverse events in confirmed COVID-19 patients with coronary artery disease.

Indexed as

ChestComputed tomographyCoronary artery diseaseCOVID-19Score

Identifiers

PMID33788067
PMCPMC8011044
OpenAlexW3145228300

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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.