Evidence map›Paper›PMID 37600633›Full record

ArticleMedical journal of the Islamic Republic of Iran2023

COVID-19 and H1N1 Influenza: Are They 2 Sides of the Same Coin?

Sayed Abd Elsabour Kinawy, Abdulhakim Ahmed Assalahi, Ghofran Elnour Elshikh Ahmed, Ahmed Taha, Kamel Abd Elgafar Hassan, Atef Wahdan Alrifai, Mahmoud Helmy Elsaied

Abstract read
In one paragraph

Article in Medical journal of the Islamic Republic of Iran, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Sayed Abd Elsabour KinawyChest Diseases Department, Faculty of Medicine, Aswan University, Egypt, Intensive Care Unit Consultant New Najran General Hospital, KSA.
Abdulhakim Ahmed AssalahiNew Najran General Hospital, KSA.
Ghofran Elnour Elshikh AhmedIntensive Care Unit, New Najran General Hospital, KSA.
Ahmed TahaDepartment of Chest Disease, Faculty of Medicine, Al-Azhar University, Cairo, Egypt.
Kamel Abd Elgafar HassanDepartment of Chest Disease, Damietta Faculty of Medicine (DFM), Al-Azhar University, Damietta, Egypt.
Atef Wahdan AlrifaiDepartment of Chest Disease, Damietta Faculty of Medicine (DFM), Al-Azhar University, Damietta, Egypt.
Mahmoud Helmy ElsaiedDepartment of Forensic Medicine and Clinical Toxicology, DFM, Al-Azhar University, Damietta, Egypt.ORCID https://orcid.org/0000-0002-5150-3818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Swine flu (H1N1) and Coronavirus diseases (COVID-19) have been compared in the past few months. Both pandemics sparked a worldwide major panic. Although both have some common symptoms and diagnoses, they are quite different in many aspects. The current study aimed to investigate the differences in clinical and viral behaviors between H1N1 Influenza and COVID-19 pneumonia. Methods: This was a retrospective study of adult patients hospitalized with H1N1 influenza pneumonia between January 2019 and February 2020, and patients hospitalized with COVID-19 during the outbreak. A demographic and clinical characteristic of H1N1 influenza and COVID-19 patients were recorded. Both groups were compared-using an independent samples student t test for continuous variables and a chi-square test for categorical data-to identify significantly different parameters between the 2 diseases. Results: A total of 78 patients were included and divided into 2 groups: 33 patients (42.3%) with H1N1 and 45 patients (57.7%) with COVID-19. The mean age of the patients was 43.3 ± 10.6 years. Bronchial asthma was significantly higher among patients with H1N1, while diabetes mellitus was significantly higher among patients with COVID-19. Right lower lobe affection was significantly present among those with H1N1 than those with COVID (100% vs 0%). The monocytic count was significantly higher among those with H1N1 than COVID-19 (11.63 ± 1.50 vs 7.76 ± 1.68; Conclusion: Clinically, it is difficult to distinguish between H1N1 and COVID-19. Thus, a polymerase chain reaction is recommended for all patients suffering from influenza-like symptoms to rule out influenza A subtype H1N1 and/or SARS-CoV2.

Indexed as

Acute Respiratory Distress SyndromeInfluenzaPneumoniaPolymerase Chain ReactionSwine Flu

Identifiers

PMID37600633
PMCPMC10436672

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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.