Evidence map›Paper›PMID 37434935›Full record

ArticleAdvanced biomedical research2023

Characteristics of Hospitalized COVID-19 Patients in a Major Referral Center in Shiraz, Iran.

Razieh Dowran, Fahime Edalat, Majid Fardi, Seyed Mohammad Ali Hashemi, Afagh Moattari

Abstract read
In one paragraph

Article in Advanced biomedical research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Razieh DowranDepartment of Virology, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Fahime EdalatDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Majid FardiDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Seyed Mohammad Ali HashemiDepartment of Microbiology, Golestan University of Medical Sciences, Gorgan, Iran.
Afagh MoattariDepartment of Bacteriology and Virology, School of Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Several countries, including Iran, have been affected by the novel Coronavirus Disease 2019 (COVID-19) pandemic since December 2019. The aim of this study was to provide a comprehensive report on COVID-19 patients in Shiraz, Southern Iran. Materials and Methods: This study was performed on 311 hospitalized patients with COVID-19. The data on demographic, clinical, and paraclinical features were analyzed. Results: The median age of the patients was 58 years, with 42.1% of the patients being above 60 years of age. Upon admission, fever was detected in 28.2% of critically ill patients. At least one underlying disease or risk factor was also present in 75.6% of the patients. Shortness of breath was the most common clinical symptom (66.2%), dry cough (53.7%), and muscle pain (40.5%) was the second and third. Sneezing (0.3%), rhinorrhea (0.7%), and sore throat (3.09%) were observed only in non-critically ill patients. In addition, 26.9% of all patients had lymphocytopenia, 25.8% had raised C-reactive protein, and 79.9% had abnormal creatinine levels. Finally, death occurred in 39 patients (12.5%). Conclusions: Noncritically ill patients were younger than critically ill patients. The most common risk factors for getting critically ill were surgery, hypertension, diabetes mellitus, chronic heart disease, asthma, and chronic renal disease.

Indexed as

Clinical characteristicscoronavirusCOVID-19IranSARS-CoV-2

Identifiers

PMID37434935
PMCPMC10331542

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.