Evidence map›Paper›PMID 41832317›Full record

ArticleScientific reports2026

Characterizing persistent Post-COVID-19 vaccination symptoms using MedDRA system organ class and preferred term classifications.

Akinori Fujisawa, Shinichiro Kodama, Nafuko Konishi, Jun Ueda, Akiko Kitagawa, Eri Okada, Mariko Miyokawa, Yuriko Hirai, Eiji Nakatani, Masanori Fukushima

Abstract read
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Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Akinori FujisawaKokoro Medical Corporation, Honbetsu Cardiovascular Medicine Clinic, Hokkaido, Japan.
Shinichiro KodamaKodama Hospital & Kodama Medical Office, Hyogo, Japan.
Nafuko KonishiViola Clinic, Osaka, Japan.
Jun UedaDepartment of Advanced Medical Science, Asahikawa Medical University, Hokkaido, Japan.
Akiko KitagawaKitaris Co., Ltd, Aichi, Japan.
Eri OkadaKitaris Co., Ltd, Aichi, Japan.
Mariko MiyokawaKitaris Co., Ltd, Aichi, Japan.
Yuriko HiraiMCL Corporation, Kyoto, Japan.
Eiji NakataniDepartment of Biostatistics and Health Data Science, Graduate School of Medical Science, Nagoya City University, 1 Kawasumi, Mizuho-cho, Mizuho-ku, Nagoya, 467-8601, Japan. nakatani.eiji.int@gmail.com.
Masanori FukushimaLearning Health Society Institute, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Post-COVID-19 Vaccination Syndrome (PCVS) refers to persistent, multisystemic symptoms developing after SARS-CoV-2 immunization. We established a nationwide registry across 14 Japanese outpatient clinics and analyzed 179 “clinically definitive” cases from 279 enrollees (December 2020–August 2023). All adverse events (AEs) were coded using MedDRA/J Preferred Terms and System Organ Classes; severity followed NCI-CTCAE V5.0. The cohort (66.5% female; mean age 59 years) experienced 493 AEs (median 2 per patient, range 1–29). Three System Organ Classes—General Disorders (29.2%), Nervous System Disorders (22.3%), and Musculoskeletal Disorders (10.1%)—accounted for 61.7% of events; fatigue, brain fog, dizziness, and extremity pain predominated. While 69.4% of AEs arose within 90 days post-vaccination, 12.4% appeared ≥ 360 days later. Severe AEs (≥ Grade 3) occurred in 14.6% of patients; overall improvement was 65.1%, leaving 29.4% unresolved. A provisional phenotype classification combining symptom patterns, onset timing, and severity identified high-risk subgroups with > 60% non-recovery rates. These findings underscore the need for enhanced post-vaccination surveillance systems and comprehensive care frameworks specifically tailored to address the protean manifestations and persistent nature of PCVS.

Indexed as

COVID-19COVID-19 VaccinesVaccinationAdultAdverse Drug Reaction Reporting SystemsAgedFemaleHumansJapanMaleMiddle AgedPost-Acute COVID-19 SyndromeRegistriesSARS-CoV-2COVID-19 VaccinesAdverse drug reaction reporting systemsChronicCOVID-19 Vaccines/adverse effectsFatigue syndromeNervous system diseases/etiologyPharmacovigilancePost-Acute COVID-19 Syndrome

Identifiers

PMID41832317
PMCPMC13079843

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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.