Evidence map›Paper›PMID 42676958›Full record

ArticleFrontiers in surgery2026

Clinical phenotypes of children undergoing adenotonsillectomy: a cluster analysis based on comorbidities and Its association with surgical strategy and length of stay.

Chen Liu, Jiali Zhang, Liu Yang, Lifang Tan

Abstract read
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Article in Frontiers in surgery, 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

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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

4 authors.

Chen LiuDepartment of Otorhinolaryngology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Wuhan, China.
Jiali ZhangDepartment of Otolaryngology Head and Neck Surgery, The 910th Hospital of the Chinese People's Liberation Army Joint Logistic Support Force, Quanzhou, Fujian, China.
Liu YangDepartment of Otorhinolaryngology, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Wuhan, China.
Lifang TanZhuhai Hospital of Integrated Traditional Chinese and Western Medicine, Zhuhai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To identify clinical phenotypes among children undergoing surgery for adenotonsillar hypertrophy using unsupervised cluster analysis based on comorbidities, and to explore the association of phenotypes with obstructive sleep apnea (OSA) severity, surgical procedures, and length of hospital stay (LOS). Methods: This retrospective cohort study included 199 consecutive children who underwent adenoidectomy or adenotonsillectomy between August 2023 and April 2026. Nine binary comorbidity variables were extracted. K-modes clustering was used to partition patients into phenotypic groups. Demographic characteristics, OSA severity, surgical procedures, and LOS were compared. Multivariable negative binomial regression identified independent predictors of LOS. Results: Four phenotypes emerged: allergic-inflammatory ( Conclusions: Comorbidity-based clustering reveals four clinically meaningful phenotypes differing in age, OSA, and otologic surgery needs. LOS is driven by surgical complexity, yet phenotyping aids preoperative planning.

Indexed as

adenotonsillectomycluster analysislength of staypediatric obstructive sleep apneaphenotype

Identifiers

PMID42676958
PMCPMC13528721

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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.