Evidence map›Paper›PMID 41368067›Full record

ArticleClinics in orthopedic surgery2025

Factors Affecting the Decision for Surgery in Patients with Carpal Tunnel Syndrome Using a Nationwide Cohort in South Korea.

Taeho Oh, Jong Won Gil, Sang Ki Lee, Young Sun An, Sun Youl Seo

Abstract read
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Article in Clinics in orthopedic surgery, 2025. 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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0citing papers in PubMed
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1 · What the graph read from it

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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

5 authors.

Taeho OhDepartment of Orthopedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-7203-0327
Jong Won GilDivision of Medical Radiation, Bureau of Healthcare Safety and Immunization, Korea Disease Control and Prevention Agency, Cheongju, Korea.ORCID https://orcid.org/0000-0002-3460-1467
Sang Ki LeeDepartment of Orthopedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-9724-9026
Young Sun AnDepartment of Orthopedic Surgery, Daejeon Eulji Medical Center, Eulji University School of Medicine, Daejeon, Korea.ORCID https://orcid.org/0000-0002-7011-7031
Sun Youl SeoDepartment of Radiological Science, Hallym Polytechnic University, Chuncheon, Korea.ORCID https://orcid.org/0000-0003-1889-8050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Carpal tunnel release (CTR) effectively relieves symptoms and improves the quality of life for patients with carpal tunnel syndrome (CTS). While studies have explored factors such as age and sex that influence surgical decisions, the roles of socioeconomic factors and insurance coverage remain underexplored. Our study addressed this gap by analyzing a nationwide cohort database in South Korea to understand surgical patterns and potential cost-saving effects based on insurance type and income level. Our hypothesis was that income level and insurance type would influence the decision to undergo surgery in patients with CTS. Methods: This study selected patients with CTS who underwent CTR from South Korea's National Health Insurance Service-sample cohort and analyzed their demographic and treatment data to assess surgery rates and times to surgery, considering factors such as age, sex, residential district, income, disability status, and insurance type. Regression analysis and analysis of variance were used to determine the influence of these variables on surgical decisions and times to surgery, with statistical significance set at Results: Multivariate logistic regression analysis revealed that income level did not significantly influence surgical decision-making. Female patients experienced longer times to surgery than male patients ( Conclusions: Individuals covered by comprehensive public aid insurance had quicker surgical interventions. Female patients undergo surgery more frequently, but they tend to delay it. The likelihood of undergoing surgery increases with age until the 50s. Individuals with disabilities undergo surgery more frequently and promptly. These findings suggest that physicians should encourage timely surgical interventions among female patients and younger patients who tend to delay surgery. For healthcare policymakers, implementing targeted education programs and maintaining support for public medical aid insurance may facilitate quicker access to surgical care and address delays among specific demographics.

Indexed as

Carpal Tunnel SyndromeDecision MakingAdultAgedCohort StudiesFemaleHumansIncomeInsurance, HealthMaleMiddle AgedRepublic of KoreaSex FactorsSocioeconomic FactorsTime-to-TreatmentCarpal tunnel releaseCarpal tunnel syndromeIncome levelInsurance typeNationwide cohort study

Identifiers

PMID41368067
PMCPMC12682695

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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.