Evidence map›Paper›PMID 36505659›Full record

ArticleJournal of family medicine and primary care2022

Influencing demographic characteristics, comorbidities disease, and radiologic finding on mortality due to Covid-19 in Iran.

Farshad Gharebakhshi, Purya Haghjoo, Akram Sabkara, Roya Rahmani, Parisa Raji, Razieh Mousapour, Sara Ghaseminejad Kermani, Zaynab Tavafizadeh, Alireza Fazeli

Abstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. 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

9 authors.

Farshad GharebakhshiDepartment of Radiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Purya HaghjooDepartment of Urology Research Center, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran.
Akram SabkaraDepartment of Infection and Tropical Disease, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Roya RahmaniDepartment of Infection and Tropical Disease, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Parisa RajiDepartment of Anesthesiology, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Razieh MousapourDepartment of Radiology, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sara Ghaseminejad KermaniDepartment of Emergency Medicine, Imam Hossein Hospital, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zaynab TavafizadehDepartment of Radiology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Alireza FazeliDepartment of Medical Education, Medical Education Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Recognition of death risk factors is urgently needed, not only to identify the defining clinical and epidemiological characteristics with greater precision but also to facilitate the appropriate supportive care and prompt access to the intensive care unit (ICU) if necessary. This study aimed to investigate the influencing demographic characteristics, comorbidities disease, and radiologic finding on COVID-19 death. Method: Descriptive cross-sectional study included adult patients with COVID-19 from Imam Hossein. Demographic characteristics, comorbidities disease, chest CT scan findings, and outcome (death/survive) data were extracted from information health system (HIS), by using a data collection check list. To explore the influencing factors on mortality, logistic regression method was used. Result: Result demonstrated that most patients who died because of Covid-19 were men (63.4%), more than 60 years (86.4%), married (95.8%), and self-employed (37.1%) with a mean age of 72.1 ± 15.46 years ranging from 22 to 93 years. Having comorbidities disease such as cancer, cardiac disease, diabetes, age, and pathologic chest CT findings was associated with death. In contrast, gender, marital, job, cerebral vascular disease, and HTN were not correlated. Conclusion: Identification of demographic characteristics, comorbidities disease, and radiographic finding correlated with death of COVID-19 can help clinicians in order to with rapid diagnose and triages of high-risk patients to have a better plan for the care of these patients.

Indexed as

comorbidities diseaseCovid-19mortalityradiologic finding

Identifiers

PMID36505659
PMCPMC9731065

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.