Evidence map›Paper›PMID 38365846›Full record

ArticleScientific reports2024

Natural course of post-COVID symptoms in adults and children.

Aya Sugiyama, Toshiro Takafuta, Tomoki Sato, Yoshihiro Kitahara, Yayoi Yoshinaga, Kanon Abe, Chhoung Chanroth, Akuffo Golda Ataa, Zayar Phyo, Akemi Kurisu and 5 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
9.2field-weighted citation impact, top 1% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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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

15 authors at 4 institutions in 1 country.

Aya SugiyamaDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Toshiro TakafutaHiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-0844, Japan.
Tomoki SatoHiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-0844, Japan.
Yoshihiro KitaharaHiroshima City Funairi Citizens Hospital, 14-11, Funairisaiwaicho, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-0844, Japan.
Yayoi YoshinagaDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Kanon AbeDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Chhoung ChanrothDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Akuffo Golda AtaaDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Zayar PhyoDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Akemi KurisuDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Ko KoDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Tomoyuki AkitaDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan.
Eisaku KishitaMinistry of Health, Labor and Welfare Health Insurance Bureau Medical Economics Division, 1-2-2, Kasumigaseki, Chiyoda-ku, Tokyo-to, Tokyo, 100-8916, Japan.
Masao KuwabaraHiroshima Prefecture Center for Disease Control and Prevention, 10-52, Motomachi, Naka-ku, Hiroshima-shi, Hiroshima-ken, 730-8511, Japan.
Junko TanakaDepartment of Epidemiology Infectious Disease Control and Prevention, Graduate School of Biomedical and Health Sciences, Hiroshima University, 1-2-3, Kasumi, Minami-ku, Hiroshima-shi, Hiroshima-ken, 734-8551, Japan. jun-tanaka@hiroshima-u.ac.jp.
Hiroshima University · JPFunai Electric (Japan) · JPHiroshima Prefectural Rehabilitation Center · JPMinistry of Health Labour and Welfare · JP

Funding

Japan Agency for Medical Research and Development (AMED) JP20fk0108453 and JP21fk0108550
6 · The paper itself

Abstract

More than 200 million COVID-19 survivors have lasting symptoms after recovering, but the duration and related risk factors remain uncertain. This study focused on all 6551 patients diagnosed with COVID-19 at a medical institution in Hiroshima from March 2020 to July 2022. In November 2022, a questionnaire survey was conducted regarding post-COVID symptoms and their duration. The prevalence and duration of post-COVID symptoms were illustrated using the Kaplan-Meier method. Risk factors for symptoms lasting over 3 months and interfering with daily life were assessed via multivariate logistic regression. A total of 2421 survivors responded: 1391 adults, 1030 children, median age 34 years (IQR 9-55), 51·2% male, 36·7% hospitalized, median time from infection to the survey was 295 days (IQR 201-538). Upon their initial recovery, the prevalence of post-COVID symptoms was 78·4% in adults and 34·6% in children. Three months later, the rates were 47·6% and 10·8%. After over one year, they were 31·0% and 6·8%. Regarding symptoms interfere with daily life, 304 people (12.6%) experienced symptoms lasting for over three months, with independent risk factors including age, being female, diabetes mellitus, infection during the Delta period, and current smoking. There was no significant association between vaccination history and post-COVID symptoms.

Indexed as

COVID-19AdultChildFemaleHealth FacilitiesHumansMaleRisk FactorsSmokingSurvivors

Identifiers

PMID38365846
PMCPMC10873293
OpenAlexW4391883562

What OpenQuestion holds

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LicenceCC BY
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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.