Evidence map›Paper›PMID 36412057›Full record

ArticleJournal of medical virology2023

Clinical features, therapeutic outcomes, and recovery period of long COVID.

Kazuki Takakura, Machi Suka, Mikio Kajihara, Shigeo Koido

Abstract read
In one paragraph

Article in Journal of medical virology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

4 authors.

Kazuki TakakuraDepartment of Internal Medicine, UnMed Clinic Motomachi, Yokohama, Kanagawa, Japan.ORCID 0000-0003-1444-3761
Machi SukaDepartment of Public Health and Environmental Medicine, The Jikei University School of Medicine, Tokyo, Japan.ORCID 0000-0003-2125-2218
Mikio KajiharaDepartment of Internal Medicine, Kajihara Clinic, Hiratsuka, Kanagawa, Japan.ORCID 0000-0002-3316-1121
Shigeo KoidoDepartment of Internal Medicine, Division of Gastroenterology and Hepatology, The Jikei University Kashiwa Hospital, Chiba, Japan.ORCID 0000-0003-0397-4348

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To characterize the clinical features of long COVID, 286 patients who received care in our outpatient clinic for long COVID from May to December 2021 were surveyed. The recovery periods of each symptom and the key factors contributing to early recovery were statistically analysed. The median age of the patients was 35.8 years, with 137 men and 149 women. The median number of symptoms was 2.8. The most frequent symptoms were respiratory manifestations (52.1%), followed by fatigue (51.4%). Respiratory symptoms, fatigue, and headache/arthralgia were major complaints in the initial phase, whereas hair loss was a major complaint in the late phase, suggesting that the chief complaint of patients with long COVID may vary temporally. The best treatment outcome was observed for pulmonary symptoms, and hair loss had the worst outcome. COVID-19 severity, the number of manifestations, and the delay in starting treatment exerted a negative effect on the recovery period of long COVID. In addition, the smoking habit was an independent risk factor for slowing the recovery period from long COVID. This study provides insights into the clinical course of each manifestation and therapeutic options with a more certain future of long COVID to meet the unmet medical needs.

Indexed as

COVID-19AdultFatigueFemaleHumansMalePost-Acute COVID-19 SyndromeSARS-CoV-2Treatment Outcomeherbaceous medicationlong COVIDmultisystem disorderpersistent symptomsrecovery period

Identifiers

PMID36412057
PMCPMC10108287

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.