Clinical Characteristics and Outcomes of COVID-19 Patients in Mazandaran Province, Iran.

Faezeh Sadat Movahedi, Jamshid Yazdani Charati, Farhang Baba Mahmoudi, Fatemeh Abdollahi, Fatemeh Safari Hajikalai

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

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0cells of the map it votes in

0citing papers in PubMed

0.2field-weighted citation impact, top 46% 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.

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0 citing papers in PubMed, 1 citations in OpenAlex.

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5 · Who and what money

Authors and funding

5 authors at 1 institution in 1 country.

Faezeh Sadat MovahediStudent Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.

Jamshid Yazdani CharatiDepartment of Biostatistics, School of Health, Health Sciences Research Center, Mazandaran University of Medical Sciences, Sari, Iran.

Farhang Baba MahmoudiDepartment of Infectious Diseases, School of Medicine, Antimicrobial Resistance Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences, Sari, Iran.

Fatemeh AbdollahiDepartment of Public Health, School of Health Sciences Research Center, Addiction Institute, Mazandaran University of Medical Sciences, Sari, Iran.

Fatemeh Safari HajikalaiStudent Research Committee, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.

Mazandaran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The problem issue of coronaviruses is one of the most serious problems in the world. The present study aimed to investigate and describe the clinical characteristics, risk factors of fatality rate, and length of hospital stay in patients with COVID-19 in Mazandaran province. Materials and Methods: In this epidemiological study, data from COVID-19 patients admitted to hospitals in Mazandaran province from July 22 to August 21, 2020, were reported. Multivariate logistic regression methods and the Cox proportional hazards model were used to determine the risk factors of fatality. Results: Out of the 6759 hospitalized patients, 3111(46.03%) patients had comorbidity; 19.77% of them had diabetes, 19.97% had hypertension, and 15.28% had heart failure. Cox regression model on COVID-19 patient data showed that risk factors for fatality including having age over 60 years (HR: 1.93; P< 0.001), intubation (HR: 4.22; P<0.001), SpO Conclusion: Paying much attention to risk factors for fatality can help identify patients with a poor prognosis in the early stages. More assessments should also be performed to examine the underlying mechanisms of these risk factors. Highlighting death-relate d risk factors is crucial to increase preparedness through appropriate medical care and prevention regulations.

Indexed as

COVID-19Cox regressionOutcome

Identifiers

PMID37920321

PMCPMC10618590

OpenAlexW4388302810

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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.