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A Cross-Sectional Analysis of Testicular Cancer Symptom Recognition and Stage of Diagnosis

Dados Bibliográficos

ID21748383
AutoresMichael J Rovito (0000-0001-8086-3460, University of Central Florida, autor correspondente), Mike Craycraft (0000-0001-9963-6487, Testicular Cancer Commons), Wesley B Adams (University of Central Florida), Michael Maresca (University of Central Florida), Mohamad M Saab (0000-0002-7277-6268, University College Cork), Clint Cary (Indiana University Health), Chayna Gooljar (University of Central Florida), Sydney A Martinez (0000-0003-1226-7506, University of Central Florida), Sydney Martinez (University of Central Florida), Rama Abu Zanet (University of Central Florida)
Ano2022
Volume16
Fascículo3
Páginas15579883221104900-15579883221104900
Data de publicação2022-05-01
Open AccessSim
TipoARTICLE
PeriódicoAmerican Journal of Men s Health (JOURNAL)
Identificadores do periódicoISSN: 1557-9883 • E-ISSN: 1557-9891
EditoraSAGE Publications (PUBLISHER • US)
DOI10.1177/15579883221104900
PMID35723132
OpenAlexW4283165664
IdiomaEN
Citações recebidas1
Referências citadas32

There is a need to further explore the relationship between atypical symptom reporting and stage diagnosis to help develop a clearer defined list of possible testicular cancer (TC) symptoms that could assist physicians diagnose the disease earlier. A cross-sectional study was employed to explore possible associations between TC symptom presentation and stage of diagnosis. An original 40-item survey was distributed among 698 TC survivors to determine the potential impact of several risk factors, experiences, and behaviors upon diagnosis. This analysis aimed to explore how certain patient-driven experiences (e.g., symptoms, perceptions, and behaviors) could serve as catalysts for seeking medical care for testicular health concerns. Experiencing hot flashes or having no symptoms had a positive association with later-stage diagnosis while change in shape had a significant negative association with later-stage diagnosis. While the logistic regression model explained relatively low variance in the data ( R 2 = .1415), it was statistically significant (χ 2 p

Cross-sectional study · Disease · Logistic regression · Medical diagnosis · Odds · Odds ratio · Pathology · Clinical Psychology · Medicine · Ovarian cancer diagnosis and treatment · Sexual Differentiation and Disorders · Testicular diseases and treatments · Internal Medicine

  • Women, Men, and Cancer Survivorship

    Open Access•Michael J Rovito, Sydney A Martinez et al.•American Journal of Men s Health•2025

  • The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement

    Open Access•Erik Von Elm, David G Altman et al.•Annals of Internal Medicine•2007

Citações por ano1
Intervalo de citações2025 - 2025 (1)
Altamente citadoNão
Abrir DOIOpen Access
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