Chrome Extension
WeChat Mini Program
Use on ChatGLM

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

AMERICAN JOURNAL OF MENS HEALTH(2022)

Cited 0|Views5
No score
Abstract
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 (chi(2) p < .001). Pain (odds ratio [OR] = 1.6524, p < .05), hot flashes (OR = 5.7893, p < .01), and no symptoms experienced (OR = 12.4836, p < .01) were all significant predictors of a more advanced stage diagnosis. The concern around uncommon/atypical symptoms are that they are indistinct and do not serve as clear signs that TC is present. However, perhaps in tandem with other more overt symptoms, their discovery can serve in a more confirmatory role for a suspect case. If observed with other uncommonly reported symptoms, these uncommon symptoms could provide another pathway in the TC diagnostic process. Clinical and patient education is warranted to increase awareness of uncommon TC symptoms.
More
Translated text
Key words
testicular cancer, oncology, cancer, symptoms, stage at diagnosis, patient advocacy
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined