Evidence map›Paper›PMID 36279853›Full record

ArticleInternational archives of allergy and immunology2023

Influence of the COVID-19 Pandemic on the Prevalence Pattern of Allergens.

Yuanhong Liu, Shengbo Yang, Yilan Zeng, Caifeng Yang, Xuemei Li, Xiule Zong, Ziting Tang, Dan Wang

Open access · hybridAbstract read
In one paragraph

Article in International archives of allergy and immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 23% 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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  5. The Impact of the Pandemic on Cat and Dog Allergies.Sisli Etfal Hastanesi tip bulteni · 2024
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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

8 authors at 1 institution in 1 country.

Yuanhong LiuDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China, 448952078@qq.com.
Shengbo YangDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Yilan ZengDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Caifeng YangDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Xuemei LiDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Xiule ZongDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Ziting TangDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Dan WangDepartment of Dermatology, Third Xiangya Hospital, Central South University, Changsha, China.
Central South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe effect of the COVID-19 pandemic on allergic diseases is not certain, as people's living habits and the environment have been affected by the pandemic. The present study described the influence of the COVID-19 pandemic on the allergen sensitization rate in patients with allergic diseases in central China. The results provide reliable epidemiological data for the prevention and control of allergic diseases during the COVID-19 epidemic.

methodsData were collected from a total of 6,915 patients with symptoms of allergic diseases who visited the Third Xiangya Hospital of Central South University in China for allergen testing from January 1, 2018, to December 31, 2021. Patients were divided into a children group (<14 years old), youth group (15∼44 years old), middle-aged group (45∼59 years old), and elderly group (>60 years old). Immunoblotting was used to detect 20 serum allergen-specific IgE (sIgE) antibodies in patient serum samples. We compared the positive rates of various allergens in different age and sex groups before and during the COVID-19 epidemic, and the prevalence data of sIgE sensitization were analysed.

resultsAmong the 6,915 patients with symptoms of allergic diseases, 2,838 (41.04%) patients were positive for at least one of the allergens. The top three positive rates of inhaled allergens were Dermatophagoides farinae (1,764 cases, 25.51%), Dermatophagoides pteronyssinus (1,616 cases, 23.37%), and house dust (645 cases, 9.33%). The top three positive rates of food allergens were eggs (686 cases, 9.92%), milk (509 cases, 7.36%), and crabs (192 cases, 2.78%). The total positive rate of allergens was higher in men (46.99%) than in women (37.30%). Compared to 2 years before the COVID-19 epidemic, the rate of sensitization to indoor inhalant allergens increased, but outdoor inhalant allergens showed no significant change. The positive rates of milk and eggs peaked during the outbreak of COVID-19 (2020) then declined in 2021. The total positive rate of allergens was higher in males than females before and during the COVID-19 epidemic, but more allergens were different between males and females during the pandemic. Compared to middle-aged and older adults, the children and youth groups were more susceptible to allergic diseases, and they exhibited an increasing positive rate for most common allergens, especially indoor inhalant allergens, during the COVID-19 epidemic than before the pandemic.

conclusionD. pteronyssinus and D. farinae are the most common allergens in South China. Under the background of normalization of epidemic prevention, indoor inhaled allergens should be first in the prevention and control of allergic diseases, and a combination of various indoor cleaning measures should be used to improve the efficiency of interventions.

Indexed as

COVID-19HypersensitivityAdolescentAdultAgedAllergensChildFemaleHumansMaleMiddle AgedPandemicsPrevalenceAllergensAllergensAllergen-specific IgE antibody detectionAllergic diseasesCOVID-19Positive rate

Identifiers

PMID36279853
PMCPMC9747740
OpenAlexW4307231983

What OpenQuestion holds

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LicenceCC BY-NC
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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.