Evidence map›Paper›PMID 35284652›Full record

ArticleHealth science reports2022

Clinical Characteristics and Risk Factors Associated with Severe Disease Progression among COVID-19 Patients In Wad Medani Isolation Centers: A Multicenter Retrospective Cross-Sectional Study.

Mohammed Yousif Elnaeem Yousif, Mohammed Mahmmoud Fadel Allah Eljack, Mazin S Haroun, Khabab Abbasher Hussien Mohamed Ahmed, Osman Amir, Mohammed Alfatih, Akram Khalid Al Tigany Al Shiekh, Mazin Abdelraham Osman Ahmed, Alshareef Nour, Radi Tofaha Alhusseini and 4 more

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Health science reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 8 institutions in 1 country.

Mohammed Yousif Elnaeem YousifFaculty of Medicine University of Gezira Wad Madani Sudan.
Mohammed Mahmmoud Fadel Allah EljackMedani Heart Diseases and Surgery Center University of Bakht Alruda Ed Dueim Sudan.ORCID https://orcid.org/0000-0002-2370-9368
Mazin S HarounFaculty of Medicine University of Khartoum Khartoum Sudan.ORCID https://orcid.org/0000-0001-5600-2038
Khabab Abbasher Hussien Mohamed AhmedFaculty of Medicine University of Khartoum Khartoum Sudan.ORCID https://orcid.org/0000-0003-4608-5321
Osman AmirFaculty of Medical Laboratory Sciences AlNeelain University Khartoum Sudan.
Mohammed AlfatihFaculty of Medicine Alzaiem Alazhari University Khartoum Sudan.
Akram Khalid Al Tigany Al ShiekhOmdurman Islamic University, Faculty of Medicine Khartoum Sudan.
Mazin Abdelraham Osman AhmedWad Medani College for Medical Science and Technology, Faculty of Medicine Wad Madani Sudan.
Alshareef NourWad Medani College for Medical Science and Technology, Faculty of Medicine Wad Madani Sudan.
Radi Tofaha AlhusseiniFaculty of Medicine Alzaiem Alazhari University Khartoum Sudan.
Waddah Aljaely Mohammed OsmanFaculty of Medicine University of Gezira Wad Madani Sudan.
Mohamed AbdulkarimFaculty of Medicine Alzaiem Alazhari University Khartoum Sudan.
Mohammed Eltahier Abdalla OmerMedicine Department, Faculty of Medicine and Health Sciences Gadarif University Gadarif Sudan.ORCID https://orcid.org/0000-0002-7131-423X
Ibrahim M MahgoubFaculty of Medicine University of Khartoum Khartoum Sudan.
Alzaiem Alazhari University · SDUniversity of Khartoum · SDUniversity of Gezira · SDWad Medani Ahlia University · SDAl-Neelain University · SDGadarif University · SDOmdurman Islamic University · SDUniversity of Bakhtalruda · SD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Since December 2019, (COVID-19) has had a significant impact on global health systems. Because little is known about the clinical characteristics and risk factors connected with COVID-19 severity in Sudanese patients, it is vital to summarize the clinical characteristics of COVID-19 patients and to investigate the risk factors linked to COVID-19 severity. Objectives: We aimed to assess the clinical characteristics of COVID-19 patients and look into risk factors associated with COVID-19 severity. Methods: This is a retrospective cross-sectional study that took place in two Isolation Centers in Wad Medani, Gezira State, Sudan. Four hundred and eighteen patients were included between May 2020 and May 2021. All COVID-19 patients over the age of 18 who were proven COVID-19 positive by nucleic acid testing or had characteristics suggestive of COVID-19 on a chest CT scan and had a complete medical record in the study period were included. Results: The participants in this study were 418 confirmed COVID-19 cases with a median age of 66.313 years. There were 279 men (66.7%) among the patients. The most prevalent comorbidities were hypertension (n = 195; 46.7%) and diabetes (n = 187; 44.7%). Fever (n = 303; 72.5%), cough (n = 278; 66.5%), and dyspnea (n = 256; 61.2%) were the most prevalent symptoms at the onset of COVID-19. The overall mortality rate (n = 148) was 35.4%. Patients with severe illness had a mortality rate of 42.3% (n = 118). Older age, anemia, neutrophilia, and lymphocytopenia, as well as higher glucose, HbA1c, and creatinine levels, were all linked to severe COVID-19, according to the chi-square test and analysis of variance analysis. Conclusion: Sixteen variables were found to be associated with COVID-19 severity. These patients are more prone to go through a serious infection and as a result have a greater death rate than those who do not have these characteristics.

Indexed as

clinical characteristicsCOVID‐19risk factorsSudan

Identifiers

PMID35284652
PMCPMC8900979
OpenAlexW4214514695

What OpenQuestion holds

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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.