Evidence map›Paper›PMID 39721744›Full record

ArticleBMJ open respiratory research2024

Long COVID among the first three waves of COVID-19 in Japan: a multicentre cohort study.

Hatsuyo Takaoka, Ichiro Kawada, Gaku Hiruma, Kengo Nagashima, Hideki Terai, Noriyuki Ishida, Ho Namkoong, Takanori Asakura, Katsunori Masaki, Jun Miyata and 18 more

Abstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

28 authors.

Hatsuyo TakaokaDivision 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 ichirok@keio.jp nshi@keio.jp.
Gaku HirumaBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.
Kengo NagashimaBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan ichirok@keio.jp nshi@keio.jp.ORCID 0000-0003-4529-9045
Hideki TeraiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-1118-1930
Noriyuki IshidaBiostatistics Unit, Clinical and Translational Research Center, Keio University Hospital, Tokyo, Japan.
Ho NamkoongDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Takanori AsakuraDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Katsunori MasakiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0003-0909-9409
Jun MiyataDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Shotaro ChubachiDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Keiko OhginoDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Kengo OtsukaDepartment of Internal Medicine, Nihon Koukan Hospital, Kanagawa, Japan.
Naoki MiyaoDepartment of Internal Medicine, Nihon Koukan Hospital, Kanagawa, Japan.
Toshio OdaniDepartment of Rheumatology, National Hospital Organization Hokkaido Medical Center, Hokkaido, Japan.
Mayuko WataseDivision of Pulmonary Medicine, Department of Medicine, Keio University School of Medicine, Tokyo, Japan.
Rie BabaPulmonary Division, Department Internal Medicine, Saiseikai Utsunomiya Hospital, Tochigi, Japan.
Satoshi OkamoriPulmonary Division, Department Internal Medicine, Saiseikai Utsunomiya Hospital, Tochigi, Japan.
Daisuke AraiPulmonary Division, Department Internal Medicine, Saiseikai Utsunomiya Hospital, Tochigi, Japan.
Ichiro NakachiPulmonary Division, Department Internal Medicine, Saiseikai Utsunomiya Hospital, Tochigi, Japan.
Naota KuwaharaDepartment of Medicine, Division of Allergology and Respiratory Medicine, Showa University Koto Toyosu Hospital, Tokyo, Japan.
Akiko FujiwaraDepartment of Medicine, Division of Allergology and Respiratory Medicine, Showa University Koto Toyosu Hospital, Tokyo, Japan.
Takenori OkadaDepartment of Medicine, Division of Allergology and Respiratory Medicine, Showa University Koto Toyosu Hospital, Tokyo, Japan.
Takashi IshiguroDepartment of Respiratory Medicine, Saitama Cardiovascular and Respiratory Center, Saitama, Japan.ORCID 0000-0001-6004-1769
Taisuke IsonoDepartment of Respiratory Medicine, Saitama Cardiovascular and Respiratory Center, Saitama, Japan.
Makoto IshiiDepartment of Respiratory Medicine, Nagoya University Graduate School of Medicine, Aichi, 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.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesSevere acute respiratory syndrome coronavirus 2 significantly impacts Japan with a high number of infections and deaths reported. Long coronavirus disease (COVID) characterised by persistent symptoms after COVID-19 has gained recognition but varies across studies. This study aimed to investigate the differences in long COVID among patients hospitalised during Japan's first three waves of the pandemic.

designMulticentre prospective cohort study.

setting26 medical facilities across Japan between February 2020 and February 2021.

participantsIn total, 1066 hospitalised patients diagnosed with COVID-19 were included with 206, 301 and 559 patients in the first, second and third waves, respectively. Data were collected using electronic data capture and patient-reported outcome forms. PRIMARY AND SECONDARY OUTCOME MEASURES: Long COVID was assessed at 3, 6 and 12 months after COVID-19 diagnosis.

resultsSignificant differences were observed between the waves in various baseline and clinical characteristics such as age, body mass index (BMI), comorbidities, the severity of COVID-19, complications and treatment during hospitalisation. Long COVID, particularly dyspnoea, was most prevalent in the first wave. Multivariate logistic regression analysis confirmed a significant positive association between the first wave and long COVID including dyspnoea after adjusting for age, sex, BMI, smoking status and COVID-19 severity.

conclusionsPatients hospitalised during the first wave had a higher risk of experiencing long COVID, especially dyspnoea, than those hospitalised during the other waves. These findings underscore the need for continued monitoring and managing long COVID in COVID-19 survivors, particularly in those hospitalised during the first wave. TRIAL REGISTRATION NUMBER: UMIN000042299.

Indexed as

COVID-19SARS-CoV-2AdultAgedAged, 80 and overCohort StudiesComorbidityFemaleHospitalizationHumansJapanMaleMiddle AgedPost-Acute COVID-19 SyndromeProspective StudiesRisk FactorsCOVID-19Infection Control

Identifiers

PMID39721744
PMCPMC11683921

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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.