The Correlation between Body Mass Index and Routine Parameters in Men Over Fifty

Endemic statistical paradoxes in epidemiologic studies distort knowledge on prostate cancer: mitigation and caution of fallacies in prostate cancer causal epidemiological studies

PURPOSE OF REVIEW

Many studies on epidemiology of prostate cancer (PCa) are based on a diagnosis of PCa using PSA (prostate-specific antigen) level. However, biases can distort the interpretation of the results, which in turn limits policy and decision making on public health prevention strategies or clinical guidelines. The main confusion is to interpret the posterior probability of the outcome following the exposure as a change in the prevalence of the disease outcome, whereas this change reflects only the predictive values of the PSA test induced by the exposure of interest.

RECENT FINDINGS

Many studies report potential causal factors involved in PCa risk. However, the lack of integration of how physiological changes in PSA values are associated with the exposures being investigated, they explain in part contradictory and controversial results on PCa risk factors in the literature.

SUMMARY

A strategy to perform case--control studies based on PSA stratification is suggested to avoid misinterpretation related to PSA misclassification. Real data are analysed, and we show that we can exploit the mechanism of selection biases using different modalities of controls recruitment based on biomarker stratification to distinguish real from false causal factors.

The correlation between body mass index and prostatic-related parameters in men 40 years or older in Zhengzhou

PURPOSE

To understand the relationship between body mass index (BMI), age, prostate volume (PV), prostate-specific antigen (PSA), International Prostate Symptom Score (IPSS) and quality of life (QoL) in Zhengzhou.

MATERIALS AND METHODS

In the cross-sectional study, men living in Zhengzhou were invited to participate in this study. Men who were 40 years or older were subjected to the IPSS and related examination. A total of 1360 participants were included. Body mass index < 18.5 kg/m² was determined as underweight, 18.5-24.99 kg/m² normal, 25-29.99 kg/m² overweight, and ≥30 kg/m² obese.

RESULTS

The mean BMI was 24.92 ± 3.37 kg/m². The mean PSA was 1.06 ± 0.85 ng/mL. The mean PV was 20.10 ± 9.96 mL. The mean age was 62.72 ± 11.03 years. The mean IPSS was 5.87 ± 3.48 scores. The mean QoL was 2.33 ± 1.28 scores. PSA showed a significant tendency to decrease with increasing BMI (r = -0.061, p = 0.018, p_trend = 0.037). The same with age (r = -0.109, p < .001; p_trend = .045). But the result suggested that both IPSS and QoL were positively correlated with BMI (r = 0.120, p < .001, p_trend < .001; r = 0.083, p = .001, p_trend = .021, respectively). PV increased with increasing BMI (r = 0.110, p < .001, p_trend = 0.045 ).

CONCLUSIONS

Age, PSA decreased with increasing BMI. But larger PV, IPSS, and QoL were associated with higher BMI.

Dietary Factors and Supplements Influencing Prostate Specific-Antigen (PSA) Concentrations in Men with Prostate Cancer and Increased Cancer Risk: An Evidence Analysis Review Based on Randomized Controlled Trials

The quest for dietary patterns and supplements efficient in down-regulating prostate-specific antigen (PSA) concentrations among men with prostate cancer (PCa) or increased PCa risk has been long. Several antioxidants, including lycopene, selenium, curcumin, coenzyme Q10, phytoestrogens (including isoflavones and flavonoids), green tea catechins, cernitin, vitamins (C, E, D) and multivitamins, medicinal mushrooms (Ganoderma lucidum), fruit extracts (saw palmetto, cranberries, pomegranate), walnuts and fatty acids, as well as combined supplementations of all, have been examined in randomized controlled trials (RCTs) in humans, on the primary, secondary, and tertiary PCa prevention level. Despite the plethora of trials and the variety of examined interventions, the evidence supporting the efficacy of most dietary factors appears inadequate to recommend their use.

Body Mass Index and Risk of Prostate Volume, International Prostate Symptom Score, Maximum Urinary Flow Rate, and Post-Void Residual in Benign Prostatic Hyperplasia Patients

The objective of this study was to evaluate association between body mass index (BMI) and prostate volume (PV), international prostate symptom scores (IPSS), maximum urinary flow rate (Q_max), and post-void residual (PVR) of Chinese benign prostatic hyperplasia (BPH) patients. All newly diagnosed BPH patients between September 2016 and August 2018 were selected and 788 patients were included. According to BMI, the patients were categorized into four groups, while according to PV, IPSS, Q_max, and PVR, they were categorized into two groups based on clinical significant cutoffs. Univariable and multivariable logistic regressions and a restricted cubic spline (RCS) were applied to explore the relationship of BMI with categorical PV, IPSS, Q_max, and PVR. Compared with normal BMI, obesity presented significant association with increased risk of larger PV (>80 ml) in both unadjusted and adjusted models (unadjusted odds ratio [OR] = 1.772, 95% CI [1.201, 2.614], p = .004; adjusted OR = 1.912, 95% CI [1.212, 3.017], p = .005); however, underweight or overweight did not present a significant connection with such risk. No significant effect was identified for BMI on IPSS, Q_max, or PVR in either unadjusted or adjusted model. Nonlinear test including BMI using RCS and adjusting for confounders showed no significance (p > .05); however, a significant linear relationship was ascertained between BMI and the risk of larger PV (p < .001). In conclusion, there was a significant linear association between BMI and the risk of larger PV in BPH patients. Hence, this suggests urologists should consider both BMI and PV when providing surgical treatment for BPH patients.

Explication of the roles of prostate health index (PHI) and urokinase plasminogen activator (uPA) as diagnostic and predictor tools for prostate cancer in equivocal PSA range of 4-10 ng/mL

Background

Prostate cancer (PCa) is one of the most commonly encountered cancers and the leading cause of death worldwide. Currently used biomarkers accounts difficulties in discriminating benign from malignant cases or predicting outcome, so investigating new biomarkers performance is needed.

Objectives

Assessment of diagnostic and predictor roles of prostate health index (PHI) and urokinase plasminogen activator (uPA) in PCa.

Methods

194 males with initial tPSA of 4-10 ng/mL were categorized into three groups: PCa, benign prostatic hyperplasia (BPH) and healthy control. Serum levels of tPSA, fPSA, p2PSA, and uPA were performed by ELISA with calculation of PHI as (p2PSA/fPSA) × √PSA.

Results

PHI and uPA were significantly higher in PCa patients relevant to BPH and healthy control (p ≤ 0.001). Both markers outperformed all assessed biomarkers and showed the highest area under the curve (AUC) in ROC curve analysis. Both were significantly higher in PCa patients with {Gleason score ≥ 7, late stages (cT2b,c; T3), LN extension and distant metastasis}relative to their counterparts. Additionally, PHI and uPA and were independent predictors of distant metastasis and Gleason score ≥ 7, while PHI was predictor of LN invasion (β = 0.25, p = 0.004).

Conclusion

PHI and uPA would be of potential value in discriminating between PCa, BPH and healthy men in addition, both are promising as independent predictors of adverse pathological features.

Predictors for lower urinary tract symptoms and the urinary specific quality of life in prostate cancer patients: One-year follow-up

BACKGROUND

Prostate cancer (PCa) is the most frequently diagnosed cancer and is becoming a growing concern in global epidemiology. Quality of life of patients has become a major outcome for cancer care but limited study investigated quality of life of PCa patients. Our study is to investigate predictors for treatment outcomes of lower urinary tract symptoms (LUTS), nocturia, and the urinary specific quality of life (uQoL) in PCa patients one year following treatment.

METHODS

A prospective study of 131 consecutive patients was conducted with outcome measurements before treatment, at 3 months, 6 months, and one year following therapy. We utilized the International Prostate Symptom Score questionnaire to collect data. Generalized estimating equations were performed to identify predictors for major outcomes of LUTS, nocturia, and uQoL.

RESULTS

LUTS increased slightly over time, but nocturia and uQoL were improved from baseline to 12 months. Results of the interaction analysis indicated that patients with TNM stage 3 compared with those with stage 2 had a reduction in LUTS from diagnosis to 6 months. Patients who received surgery or radiation compared to hormone therapy had worse nocturia from diagnosis to 6 months compared to those of patients who received hormone therapy. Higher body mass index (BMI) decreased the uQoL from diagnosis to 3 months, and higher prostate-specific antigen (PSA) level deteriorated the uQoL from diagnosis to 12 months.

CONCLUSION

TNM stage and BMI affected the LUTS. Patients undergone a prostatectomy or radiation therapy showed more frequency of nocturia, BMI and PSA were also risk factors for nocturia. Moreover, patients' age, BMI, and PSA affected uQoL. In such patients, we recommend close monitoring of patients' specific characteristics such as TNM stage, BMI, and PSA for a better quality of life.