The impact of socioeconomic status on stage specific prostate cancer survival and mortality before and after introduction of PSA test in Finland

Seikkula, Heikki; Kaipia, Antti; Ryynänen, Heidi; Seppä, Karri; Pitkäniemi, Janne; Malila, Nea; Boström, Peter J.

doi:10.1002/ijc.31109

Cited by 11 publications

(5 citation statements)

References 37 publications

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“…However, patients with higher education levels have increased postoperative PSA frequency, which reflects the need to strengthen patient follow-up guidance further. This conclusion is similar to that in Seikkula’s previous study, which found that patients with higher education levels had more PSA testing [ 31 ]. For patients with lower education levels, proactive telephone, and Internet follow-up were used to understand their postoperative recovery, resolve their disease questions, and provide personalized guidance.…”

Section: Discussionsupporting

confidence: 91%

How education level affects postoperative rehabilitation and follow-up: a single-center experience

Yang²,

Chen

et al. 2023

BMC Urol

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Background Radical prostatectomy remains the fundamental treatment for prostate cancer, and improving patients’ compliance with postoperative follow-ups is essential for improving patients’ quality of life. This study investigates the effect of education levels on patients’ recovery and follow-up after radical prostatectomy. Methods Data from 1,112 patients undergoing radical prostatectomy between 2011 and 2020 were collected using medical records, and “pc-follow” systems were used to collect patients’ baseline information, education level, pathological information, number of outpatient visits, the time interval between each visit, and PSA test data. Results Regarding postoperative outpatient data, there was no difference in the number of outpatient visits among the different education level groups in Shanghai (P = 0.063). A significant difference was found in the interval between outpatient visits among the groups (P < 0.001). Furthermore, significant differences were detected in the number and duration of outpatient clinic visits among the education level groups in all patients (P = 0.016, P = 0.0027). By contrast, no significant difference was found in the recovery time of urinary continence between all patients and those in Shanghai, grouped according to education level (P = 0.082, P = 0.68). For all patients and patients in the Shanghai area, the number of PSA follow-ups increased gradually with an increasing level of education (P < 0.001, P = 0.0029). Conclusions Education level affected the number of postoperative clinic visits, compliance, and the number of PSA tests. However, no significant effect on the recovery of urinary continence was found. Further, clinicians must increase their focus on patients with low education levels to achieve equitable access to health services for all patients.

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Section: Discussionsupporting

confidence: 91%

How education level affects postoperative rehabilitation and follow-up: a single-center experience

Yang²,

Chen

et al. 2023

BMC Urol

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“…In China, the annual incidence of PCa was more than 60,000 cases and 26,600 patients who succumbed to PCa in 2015 [6]. The majority of early-stage PCa patients have an excellent prognosis with a low mortality rate [7]. However, there are still a large number of PCa patients who develop the resistance to androgen deprivation therapy (ADT) and become castrationresistant PCa (CRPC), which results in a short survival time [8].…”

mentioning

confidence: 99%

Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients

Jiang

Luo

et al. 2020

J Transl Med

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Background: Prostate cancer (PCa) is one of the most prevalent cancers that occur in men worldwide. Autophagyrelated genes (ARGs) may play an essential role in multiple biological processes of prostate cancer. However, ARGs expression signature has rarely been used to investigate the association between autophagy and prognosis in PCa. This study aimed to identify and assess prognostic ARGs signature to predict overall survival (OS) and disease-free survival (DFS) in PCa patients. Methods: First, a total of 234 autophagy-related genes were obtained from The Human Autophagy Database. Then, differentially expressed ARGs were identified in prostate cancer patients based on The Cancer Genome Atlas (TCGA) database. The univariate and multivariate Cox regression analysis was performed to screen hub prognostic ARGs for overall survival and disease-free survival, and the prognostic model was constructed. Finally, the correlation between the prognostic model and clinicopathological parameters was further analyzed, including age, T status, N status, and Gleason score. Results: The OS-related prognostic model was constructed based on the five ARGs (FAM215A, FDD, MYC, RHEB, and ATG16L1) and significantly stratified prostate cancer patients into high-and low-risk groups in terms of OS (HR = 6.391, 95% CI = 1.581-25.840, P < 0.001). The area under the receiver operating characteristic curve (AUC) of the prediction model was 0.84. The OS-related prediction model values were higher in T3-4 than in T1-2 (P = 0.008), and higher in Gleason score > 7 than ≤ 7 (P = 0.015). In addition, the DFS-related prognostic model was constructed based on the 22 ARGs (ULK2,

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“…In general, localized PCa patients with lower SES have a higher comorbidity burden and poorer lifestyle (such as smoking, lack of exercise, obesity), which might affect the outcome of the patients ( 20 ). Furthermore, high SES may provide timely and high-quality cancer care ( 30 ).…”

Section: Discussionmentioning

confidence: 99%

Influencing factors for mortality in prostate cancer patients with T1 and T2 stage: a retrospective cohort study

Hong¹,

Cao²,

Chi³

et al. 2023

Transl Androl Urol

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Background: Few reports have focused on the influencing factors of localized prostate cancer (PCa)-specific mortality so far. This study aimed to develop a competitive risk model for identifying the factors influencing the localized PCa mortality rate based on 135,310 subjects in the Surveillance, Epidemiology, and End Results (SEER) database.Methods: We included 135,310 localized PCa male patients from SEER database 2004-2016 in this cohort study, and collected the baseline information of all patients, including age of diagnosis, race, marital status, socioeconomic status (SES), American Joint Committee on Cancer (AJCC) stage, prostate-specific antigen (PSA) Gleason score, and so on. The outcome was considered as PCa-specific mortality in this study. The end time of follow-up was November 2018. Independent risk factors were examined by multivariate Fine-Gray analysis. The results are shown by hazard ratio (HR) and 95% confidence interval (CI).Results: All patients were divided into three groups: died from localized PCa (n=1,400), died from other causes (n=16,996), and survived (n=116,914). The diagnostic age of 119,899 patients was ≥55 years. The multivariate Fine-Gray analysis indicated that age of diagnosis (55-70 years:

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The impact of socioeconomic status on stage specific prostate cancer survival and mortality before and after introduction of PSA test in Finland

Cited by 11 publications

References 37 publications

How education level affects postoperative rehabilitation and follow-up: a single-center experience

How education level affects postoperative rehabilitation and follow-up: a single-center experience

Development of an autophagy-related gene expression signature for prognosis prediction in prostate cancer patients

Influencing factors for mortality in prostate cancer patients with T1 and T2 stage: a retrospective cohort study

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