Evidence map›Paper›PMID 38395459›Full record

ArticleBMJ open respiratory research2024

Cluster analysis of long COVID in Japan and association of its trajectory of symptoms and quality of life.

Fumimaro Ito, Hideki Terai, Masahiro Kondo, Ryo Takemura, Ho Namkoong, Takanori Asakura, Shotaro Chubachi, Keita Masuzawa, Sohei Nakayama, Yusuke Suzuki and 15 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in BMJ open respiratory research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
4.8field-weighted citation impact, top 4% 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

11 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
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  4. Observational
  5. Article
  6. Article
  7. Article
  8. Japanese nationwide survey to track the impact of long COVID over 3 years.Environmental health and preventive medicine · 2025
    Article
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  10. Article
  11. Review
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

25 authors at 7 institutions in 1 country.

Fumimaro ItoDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Hideki TeraiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan hidekit926@gmail.com rtakemura@keio.jp.ORCID 0000-0002-1118-1930
Masahiro KondoBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.
Ryo TakemuraBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan hidekit926@gmail.com rtakemura@keio.jp.
Ho NamkoongDepartment of Infectious Diseases, Keio University School of Medicine, Tokyo, Japan.
Takanori AsakuraDepartment of Clinical Medicine (Laboratory of Bioregulatory Medicine), Kitasato University School of Pharmacy, Tokyo, Japan.
Shotaro ChubachiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Keita MasuzawaDepartment of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.
Sohei NakayamaDepartment of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.
Yusuke SuzukiDepartment of Respiratory Medicine, Kitasato University Kitasato Institute Hospital, Tokyo, Japan.
Mizuha HashiguchiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Junko KagyoDepartment of Internal Medicine, Keiyu Hospital, Kanagawa, Japan.
Tetsuya ShiomiDepartment of Internal Medicine, Keiyu Hospital, Kanagawa, Japan.
Naoto MinematsuDepartment of Internal Medicine, Hino Municipal Hospital, Tokyo, Japan.
Tadashi ManabeDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takahiro FukuiDivision of Pulmonary Medicine, Department of Internal Medicine, Tachikawa Hospital, Tokyo, Japan.
Yohei FunatsuDivision of Pulmonary Medicine, Department of Internal Medicine, Tachikawa Hospital, Tokyo, Japan.
Hidefumi KohDivision of Pulmonary Medicine, Department of Internal Medicine, Tachikawa Hospital, Tokyo, Japan.
Katsunori MasakiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-0909-9409
Keiko OhginoDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Jun MiyataDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Ichiro KawadaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Makoto IshiiDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yasunori SatoDepartment of Preventive Medicine and Public Health, Keio University School of Medicine, Tokyo, Japan.
Koichi FukunagaDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Keio University · JPKitasato Institute Hospital · JPTachikawa Hospital · JPkeiyu Hospital · JPKeio University Hospital · JPNagano Municipal Hospital · JPNagoya University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple prolonged symptoms observed in patients who recovered from COVID-19 are defined as long COVID. Although diverse phenotypic combinations are possible, they remain unclear. This study aimed to perform a cluster analysis of long COVID in Japan and clarify the association between its characteristics and background factors and quality of life (QOL).

methodsThis multicentre prospective cohort study collected various symptoms and QOL after COVID-19 from January 2020 to February 2021. This study included 935 patients aged ≥18 years with COVID-19 at 26 participating medical facilities. Hierarchical cluster analysis was performed using 24 long COVID symptom at 3 months after diagnosis.

resultsParticipants were divided into the following five clusters: numerous symptoms across multiple organs (cluster 1, n=54); no or minor symptoms (cluster 2, n=546); taste and olfactory disorders (cluster 3, n=76); fatigue, psychoneurotic symptoms and dyspnoea (low prevalence of cough and sputum) (cluster 4, n=207) and fatigue and dyspnoea (high prevalence of cough and sputum) (cluster 5, n=52). Cluster 1 included elderly patients with severe symptoms, while cluster 3 included young female with mild symptoms. No significant differences were observed in the comorbidities. Cluster 1 showed the most impaired QOL, followed by clusters 4 and 5; these changes as well as the composition of symptoms were observed over 1 year.

conclusionsWe identified patients with long COVID with diverse characteristics into five clusters. Future analysis of these different pathologies could result in individualised treatment of long COVID. TRIAL REGISTRATION NUMBER: The study protocol is registered at UMIN clinical trials registry (UMIN000042299).

Indexed as

COVID-19AdolescentAdultAgedCluster AnalysisCoughDyspneaFatigueFemaleHumansJapanPost-Acute COVID-19 SyndromeProspective StudiesQuality of LifeCOVID-19infection control

Identifiers

PMID38395459
PMCPMC10895225
OpenAlexW4392095817

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.