Evidence map›Paper›PMID 42388438›Full record

ArticleLaryngoscope investigative otolaryngology2026

Age-Dependent Decline in Tonsillectomy and Adenoidectomy During the COVID-19 Pandemic in Japan: A Nationwide Longitudinal Analysis of NDB Open Data.

Nayu Yokoyama, Masao Noda, Masamitsu Kono, Masakazu Hamamoto, Mari Shimada, Hirotaka Hara, Makoto Ito, Manabu Komori

Abstract read
In one paragraph

Article in Laryngoscope investigative otolaryngology, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Nayu YokoyamaDepartment of Otolaryngology St. Marianna University School of Medicine Kawasaki Kanagawa Japan.
Masao NodaDepartment of Otolaryngology and Head and Neck Surgery Jichi Medical University Shimotsuke Tochigi Japan.
Masamitsu KonoDepartment of Otorhinolaryngology-Head and Neck Surgery Wakayama Medical University Wakayama Japan.
Masakazu HamamotoDepartment of Otolaryngology-Head and Neck Surgery Kawasaki Medical School Kurashiki Okayama Japan.
Mari ShimadaDepartment of Otolaryngology and Head and Neck Surgery Jichi Medical University Shimotsuke Tochigi Japan.
Hirotaka HaraDepartment of Otolaryngology-Head and Neck Surgery Kawasaki Medical School Kurashiki Okayama Japan.
Makoto ItoDepartment of Otolaryngology and Head and Neck Surgery Jichi Medical University Shimotsuke Tochigi Japan.
Manabu KomoriDepartment of Otolaryngology St. Marianna University School of Medicine Kawasaki Kanagawa Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate whether the decline in tonsillectomy and adenoidectomy during the COVID-19 pandemic in Japan was age-dependent and to examine trends in postoperative hemostasis activity using nationwide claims data. Methods: We conducted a nationwide longitudinal descriptive study using National Database Open Data from fiscal years (FY) 2015-2023. Annual procedure counts were extracted for tonsillectomy (K377-1), adenoidectomy (K370), and postoperative hemostasis after tonsil surgery (K367-a). Pandemic phases were defined as pre-COVID (FY2015-FY2019), COVID onset (FY2020), COVID ongoing (FY2021-FY2022), and recovery (FY2023). Age-stratified analyses were performed for tonsillectomy. The postoperative hemostasis rate was calculated per 1000 tonsillectomies. Results: Tonsillectomy and adenoidectomy volumes increased through FY2019, reaching 73,577 and 14,910 cases, respectively, before declining sharply in FY2020 to 47,097 and 7018. The reduction in tonsillectomy was strongly age-dependent and greatest among children aged 0-14 years, with a 48.9% decrease from FY2019 to FY2020 (29,340-14,992), whereas the decline among adults aged ≥ 60 years was smaller at 12.5% (5433-4752). Surgical volumes remained suppressed during FY2021-FY2022 and partially recovered in FY2023 but did not return to prepandemic peak levels. The absolute number of postoperative hemostasis procedures remained relatively stable over time; however, the hemostasis rate increased during the pandemic period because tonsillectomy volume declined. Conclusion: The pandemic-associated reduction in tonsillectomy and adenoidectomy in Japan was disproportionately concentrated in pediatric patients. Despite reduced surgical volume, the absolute postoperative hemostasis activity was relatively preserved. These findings provide nationwide evidence of age-dependent disruption in elective otolaryngologic procedures during the COVID-19 pandemic. Level of Evidence: 4.

Indexed as

adenoidectomyCOVID‐19pediatricpostoperative hemorrhagetonsillectomy

Identifiers

PMID42388438
PMCPMC13320362

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.