Evidence map›Paper›PMID 35847782›Full record

ArticleFrontiers in medicine2022

Association of Lung CT Findings in Coronavirus Disease 2019 (COVID-19) With Patients' Age, Body Weight, Vital Signs, and Medical Regimen.

Abdel-Ellah Al-Shudifat, Ali Al-Radaideh, Shatha Hammad, Nawal Hijjawi, Shaden Abu-Baker, Mohammed Azab, Reema Tayyem

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2022. 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
0.7field-weighted citation impact, top 32% 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, 5 citations in OpenAlex.

  1. Article
  2. Mesenchymal Stem Cells in the Treatment of COVID-19.International journal of molecular sciences · 2023
    Review
  3. 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 3 institutions in 2 countries.

Abdel-Ellah Al-ShudifatFaculty of Medicine, The Hashemite University, Zarqa, Jordan.
Ali Al-RadaidehDepartment of Medical Imaging, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
Shatha HammadDepartment of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman, Jordan.
Nawal HijjawiDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, The Hashemite University, Zarqa, Jordan.
Shaden Abu-BakerDepartment of Pathology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan.
Mohammed AzabFaculty of Medicine, The Hashemite University, Zarqa, Jordan.
Reema TayyemDepartment of Nutrition and Food Technology, Faculty of Agriculture, The University of Jordan, Amman, Jordan.
Hashemite University · JOUniversity of Jordan · JOJordan University of Science and Technology · JO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to detect possible associations between lung computed tomography (CT) findings in COVID-19 and patients' age, body weight, vital signs, and medical regimen in Jordan. Methods: The present cross-sectional study enrolled 230 patients who tested positive for COVID-19 in Prince Hamza Hospital in Jordan. Demographic data, as well as major lung CT scan findings, were obtained from the hospital records of the COVID-19 patients. Results: The main observed major lung changes among the enrolled COVID-19 patients included ground-glass opacification in 47 (20.4%) patients and consolidation in 22 (9.6%) patients. A higher percentage of patients with major lung changes (24%) was observed among patients above 60 years old, while (50%) of patients with no changes in their lung findings were in the age group of 18-29 years old. Results obtained from the present study showed that only patients with major CT lung changes (9.7%) were prescribed more than three antibiotics. Additionally, 41.6 % of patients with major lung CT scan changes had either dry (31.0%) or productive (10.6%) cough at admission. Conclusion: Several factors have been identified by this study for their ability to predict lung changes. Early assessment of these predictors could help provide a prompt intervention that may enhance health outcomes and reduce the risk for further lung changes.

Indexed as

body weightCOVID-19lung CT findingsmedical regimenrisk factorsvital signs

Identifiers

PMID35847782
PMCPMC9279911
OpenAlexW4283741377

What OpenQuestion holds

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LicenceCC BY
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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.