Abstract
Objectives
To assess the impact of differences in Prostate-Specific Antigen (PSA) testing rates on prostate cancer (PCa) diagnosis and PCa-specific mortality among Māori men in a New Zealand (NZ) population.
Patients and Methods
Māori men aged 40 years or older, without a history of PCa, with a PSA test between 2006 and 2018 were included. The cohort was divided into two groups; the “screened group” (ScG) consisting of men who had at least one PSA test every four years or less, and the “non-screened group” (non-SG). We measured the rate of cancer diagnoses and used competing risk analysis to assess survival.
Results
The study cohort included 63,939 Māori men, with 37,048 (58%) in the ScG. PCa was more frequently diagnosed in the ScG (3.7% vs. 3.0%, P < 0.001). A higher proportion of high-grade cancers were found in the non-SG (32.7% vs. 25.6%, P = 0.001). The 10-year cancer-specific survival was significantly higher in the ScG (99.4% vs. 98.5%, P < 0.001). In a multivariable risk model, PSA testing frequency was an independent predictor of PCa mortality. (HR 2.43, [95% CI 1.97–3.01], P < 0.001).
Conclusions
In a cohort of only Māori men, lower PSA testing rates were associated with a higher risk of PCa-related death. Therefore, regular PSA testing for Māori could improve cancer-specific survival among Māori men. Regular PSA testing should be considered a priority area for improving PCa survival in this population.
Supplementary Information
The online version contains supplementary material available at 10.1007/s00345-024-05260-2.
Keywords: Prostate-specific antigen, Early detection of cancer, Mass screening, Prostatic neoplasm, Health inequities
Introduction
New Zealand (NZ) has one of the highest incidences of prostate cancer (PCa) in the world (105.2 per 100 000) [1]. Currently, there is no population-based screening program in NZ. Instead there is widespread opportunistic Prostate-Specific Antigen (PSA) testing in NZ and subsequently high rates of PCa detection. Data shows that not all men in NZ have equitable access to PSA testing. In particular, Māori men are significantly less likely to receive a PSA test and are less likely to have regular PSA testing [2]. This lower rate of PSA testing may explain the lower incidence of PCa seen in NZ Māori compared to the NZ European population [1].
The European Randomized Study of Screening for Prostate Cancer (ERSPC) trial has shown that repeated cycles of PSA testing reduces PCa mortality [3]. On this basis, we hypothesised that the lower rates of PSA testing in Māori are a direct contributor to the worse PCa-specific survival seen in this population. However, to minimise social and cultural confounders that may affect PCa survival, we aimed to assess the impact of regular PSA testing on PCa outcomes (diagnosis and mortality) in a cohort of only Māori men [4].
Methods
Study population
The study population constituted all Māori men who had a PSA test between 1 January 2006 and 1 January 2018. Men with a prior diagnosis of PCa were excluded and assumed to have PSA tests for disease monitoring. We also excluded men younger than 40 because PSA is generally not utilised in PCa screening among these men. Only one PSA test per calendar year was considered in the dataset for each patient to avoid potential bias related to repeated testing in a short period, usually triggered by an abnormal result.
Data sources
Data were obtained from three prospectively maintained national databases: (1) the NZ Ministry of Health laboratory warehouse containing all laboratory test results; (2) the New Zealand Cancer Registry (NZCR) which records all new cancer diagnoses; and (3) the National Mortality Collection which provides data on causes of death derived from the weekly collection of death certificates, coroner reports, and hospital records. Data linkage was feasible using the National Health Index (NHI), a unique alphanumeric identifier assigned by the Ministry of Health to each health user in NZ. Ethnicity was self-reported and captured at the point of enrolment to a general practice or at after presentation to hospital. This was automatically linked to NHIs collected. All PSA test results, test dates, and cancer diagnoses for each NHI were collated in our study database. Low-, intermediate- and high-grade cancer corresponded to Gleason 6, Gleason 7 and Gleason 8 or higher, respectively. Socioeconomic status was measured based on the New Zealand Index of Deprivation (NZDep index) using nine variables derived from the national Census [5].
Outcomes measured
The cohort was divided into two groups. First, Māori men with high levels of PSA testing were classified as the “screened group” (ScG). The ScG was defined as men who had two or more PSA tests, with a rate of one test every four years or less. The second cohort was the “non-screened group” (non-SG) which included all other men. The outcomes of interest were: (1) PCa diagnosis, including cancer grade and; (2) PCa-specific mortality.
Data management and statistical analysis
Data analysis and management were conducted using SPSS 25.0. Descriptive statistics were reported as medians with an interquartile range (IQR) or crude numbers with percentages. The study groups were compared using Mann-Whitney U non-parametric or chi-squared tests.
The risk of PCa diagnosis during the study period was estimated with univariable and multivariable binary logistic regression models and reported as an odds ratio (OR) with a 95% confidence interval (CI). For cancer-specific survival (CSS), we used the cumulative incidence for competing death events to account for causes of death other than PCa. Similarly, the risk of death from PCa was estimated with univariable and multivariable Fine-Gray proportional hazard regression and reported as a hazard ratio (HR) with a 95% CI. Time in these calculations was measured in days from the date of enrolment in the study (first PSA test in the study period) to the date of death or study termination. For all calculations, a P-value < 0.05 was considered statistically significant.
Results
Between 1 January 2006 and 1 January 2018, there were 2,941,916 PSA tests performed on 825,259 men in NZ. Of these, 176,820 PSA tests were performed in 63,939 (7.9%) men who identified as Māori and were included in the final analysis.
Of these, 37,084 (58%) Māori men were included in the ScG. These men had a total of 147,481 PSA tests during the study period. The non-SG comprised 26,855 Māori men who received 29,339 PSA tests.
Men in the ScG were slightly older than men in the non-SG (54 vs. 51 years, P < 0.001). ScG men received a median of three tests per person (IQR 3). Table 1 summarises relevant baseline characteristics in the two groups.
Table 1.
Cohort baseline characteristics (n = 63,939)
| Characteristic | Total cohort | Non-screened group | Screened group | P value |
|---|---|---|---|---|
| No. men, n (%) | 63,939 | 26,855 (42) | 37,084 (58) | N/A |
| No. PSA tests, n (%) | 176,820 | 29,339 (16.6) | 147,481 (83.4) | N/A |
| Median age (yr), n (IQR) | 53 (13) | 51 (14) | 54 (13) | < 0.001 |
| Median NZ Dep (decile) | 8 (5) | 8 (4) | 8 (4) | < 0.001 |
| Median No. PSA tests per person, n (IQR) | 2 (3) | 1 (0) | 3 (3) | < 0.001 |
| Median cost of PSA testing (NZD), n (IQR) | 22 (28.5) | 11 (0.1) | 33.22 (32.8) | < 0.001 |
| Follow-up (yr), n (IQR) | 6.27 (5.93) | 3.57 (5.41) | 7.78 (4.64) | < 0.001 |
| Prostate Cancer, n (%) | 2,169 (3.4) | 794 (3.0) | 1,375 (3.7) | < 0.001 |
This table compares the baseline characteristics between non-screened group and screened group over a 12 year period. P values were The study groups were compared using Mann-Whitney U non-parametric testing or chi-squared test
IQR = interquartile range; NZ Dep = New Zealand Deprivation Index; NZD = New Zealand Dollar; PSA = Prostate-Specific Antigen
Cancer diagnosis
A total of 2169 men were diagnosed with PCa in the cohort, with a significantly higher proportion of cancers diagnosed in the ScG (3.7% vs. 3.0%, P < 0.001). Following adjustments for age and NZDep index, the risk of cancer detection was 15% higher in the ScG (OR 1.15, [95% CI 1.05–1.26], P = 0.002) (Table 2).
Table 2.
Univariable and multivariable logistic regression risk model predicting prostate cancer diagnosis in the cohort
| Variable | Univariable | Multivariable | ||||
|---|---|---|---|---|---|---|
| OR | 95% CI | Pvalue | Adjusted OR | 95% CI | Pvalue | |
| Age | 1.08 | 1.07–1.08 | < 0.001 | 1.08 | 1.07–1.08 | < 0.001 |
| NZDep index | 1.0 | 0.98 – 1.02 | 0.986 | 0.97 | 0.96–0.99 | < 0.001 |
| Non-screened group | Ref | Ref | - | Ref | Ref | - |
| Screened group | 1.26 | 1.16–1.38 | < 0.001 | 1.15 | 1.05–1.26 | 0.002 |
This table demonstrates factors associated with prostate cancer diagnosis using univariable and multivariable logistic regression. Those in the screened group were more likely to be diagnosed with prostate cancer (HR 1.15)
OR = odds ratio; CI = confidence interval; NZDep index = New Zealand area-based deprivation index
Within the entire cohort, 750 (38%) of diagnosed cancers were low-grade, 666 (33.8%) were intermediate, and 556 (28.2%) were high-grade. Men in the non-SG were significantly more likely to be diagnosed with high-grade PCa (32.7% vs. 25.6%, P = 0.001). The diagnosis rate of low-grade cancer was higher in the ScG (40.5% vs. 33.8%, P = 0.003). There was no statistically significant difference in the proportion of intermediate risk PCa diagnosed between the two groups (33.4% vs. 34.0%, P = 0.804) (Supplementary Table 1).
Survival analysis
During the study period, 359 men died of PCa, with 196 (54.6%) deaths occurring in the non-SG. The median follow-up duration was 6.27 (IQR 5.93) years for the entire cohort, with 3.57 (IQR 5.41) years in the non-SG and 7.78 (IQR 4.64) years in the ScG (P < 0.001). Median PCa-specific survival was not reached in either group. However, the estimated 10-year CSS was significantly higher in the ScG (99.4% vs. 98.5%, P < 0.001) (Fig. 1).
Fig. 1.
Cancer-specific survival (CSS) among the non-screening group and screening group over 10 years. The screening group had higher CSS than the non-screening group (99.4% vs. 98.5%, P < 0.001) at 10 years. The CSS was calculated using the cumulative incidence for competing death events. The Gray test was used to compare groups
In a multivariable competing risk analysis model assessing PCa-specific survival, being in the ScG was an independent predictor of survival. Māori men in the non-SG were more than twice as likely to die from PCa compared to Māori men in the ScG (HR 2.43, [95%CI 1.97–3.01], P < 0.001). Age was also an independent predictor for PCa survival (HR 1.11, [95% CI 1.11–1.13], P < 0.001). However, the NZDep index did not significantly contribute to PCa-specific survival in the model (P = 0.822) (Table 3).
Table 3.
Univariable and multivariable fine-Gray competing risk model predicting prostate cancer death in the cohort
| Variable | Univariable | Multivariable | ||||
|---|---|---|---|---|---|---|
| HR | 95% CI | P values | Adjusted HR | 95% CI | P value | |
| Age | 1.12 | 1.11–1.13 | < 0.001 | 1.12 | 1.11–1.13 | < 0.001 |
| NZDep index | 1.06 | 1.02–1.11 | 0.004 | 1.00 | 0.96–1.05 | 0.822 |
| Screened group | Ref | Ref | - | Ref | Ref | - |
| Non-screened group | 2.75 | 2.25–3.36 | < 0.001 | 2.43 | 1.97–3.01 | < 0.001 |
This table shows factors predicting prostate cancer-related death using univariable and multivariable analysis. The non-screened group had an increased risk (HR 2.43) of prostate cancer-related death when compared to the screened group (reference group)
CI = confidence interval; HR = hazard ratio
Discussion
This study has demonstrated that Māori men who undergo regular PSA testing were less likely to die from PCa compared to Māori men who did not undergo regular testing. Additionally, men who had regular PSA testing were more likely to be diagnosed with PCa but less likely to have a high-grade disease at diagnosis. This may explain the better PCa survival for these men. These findings are consistent with international data on opportunistic and regular PSA screening [3, 6]. The findings of this study are unique, and to our knowledge, this is the only study to assess the “real-world” impact of PSA testing on PCa survival specifically in a Māori population.
In a previous study, we reported that on average, Māori men received 28% fewer PSA tests than non-Māori men over ten years. The same study also showed that Māori men were far less likely to be offered regular PSA tests across all age groups as part of an opportunistic PCa risk assessment [7]. Furthermore, our group has previously concluded that PCa-specific survival in NZ is significantly lower for Māori men compared to non-Māori [7, 8]. We reported that the 10-year CSS for Māori was 71.5% compared to 79.3% for Europeans, 83.9% for Asians and 76.3% for Pacific Island men. This corresponded to a 44% higher risk of PCa death for Māori men compared to Europeans [8].
The current study has shown a strong association between the rate of PSA testing and PCa-specific survival with men in the non-SG at least twice as likely to die from PCa compared to the ScG. One of the strengths of this study is that only Māori men were included. This has minimised potential confounding factors which might impact PSA testing, diagnosis and survival. These factors include cultural barriers to PSA testing, and treatment-related factors [4, 7].
PSA screening has been shown to improve PCa-specific survival in large randomised studies, and the relationship between PSA testing and PCa survival is not a new finding [3]. The ERSPC clearly showed a survival advantage at 16 years of follow-up. Additionally, analysis of the same study has demonstrated that within the study population, socioeconomic factors seem to impact the rate of PSA testing, subsequent PCa diagnosis and PCa survival [9, 10]. Our study confirms that these findings apply to the NZ population.
Men in the non-SG were younger (54 vs. 51 years). Therefore, they may not have been eligible for regular testing since most practitioners start to offer testing to men in their 50s. However, it should be noted that the ScG had a median of three cycles of testing, which suggests that the three-year median difference in the age of the groups does not explain the significant variation in testing. Also, a larger proportion of the non-SG died of PCa, indicating that testing in Māori men effectively reduces PCa mortality. Therefore, PSA testing should perhaps start at an earlier age in Māori.
We found the increasing NZDep index was associated with a slight reduction in PCa diagnosis. This aligns with other prior studies which suggests socioeconomic status has an impact on PSA testing regardless of ethnicity [4, 7].
Another important consideration in our study was the definition of regular PSA testing. It is accepted that only recurrent PSA testing at regular intervals results in improved PCa outcomes and that low-intensity and infrequent testing has no positive impact on the outcomes [11, 12]. Men in the ScG had a median of three tests during the 12-year study period, which fell well within the accepted definitions for PSA screening. Pakarainen et al. reported that in the Finnish arm of the ERSPC trial, men who attended two or three rounds of screening experienced improved PCa survival [11].
The CSS was significantly lower in the non-SG. This indicates that in real-world settings, regular PSA testing significantly impacts PCa survival in Māori men. Our study suggests that the previously reported disparities in PCa outcomes in Māori compared to non-Māori may be addressed by ensuring equitable access to regular PSA testing for Māori [13]. As seen in Fig. 1, most PCa deaths in the non-ScG occurred within six years following diagnosis, inferring that this was primarily death from aggressive high-risk disease. The discrepancy in median follow-up time between the non-SG and ScG was an interesting finding. Men in the non-SG may have fewer PSA tests because of reduced engagement with health care services or competing comorbidities leading earlier to loss to follow-up. However, we cannot comment with certainty the reason for this due to the retrospective nature of our study.
Our study has also demonstrated that regular PSA testing was associated with an increased risk of PCa diagnosis. This aligns with international studies and represents the well-established potential harm of overdiagnosis in PCa screening [14, 15]. However, the difference in the rates of low-risk disease between the ScG and non-SG groups was merely 7.7%. With advancements in cancer detection and the broader applicability of active surveillance, the balance in this cohort may well be leaning toward the survival benefits achieved through regular PSA testing [16].
Our study has some limitations. Firstly, the study is a retrospective analysis of prospectively collected data. We cannot ascertain if the two groups were identified as no data on comorbidities was available in the dataset. The baseline PSA level between the two groups was not compared. However, all men in this cohort had a PSA test and therefore were deemed “fit enough” for PCa screening by their primary healthcare providers. Secondly, there were no data on PCa disease stage at diagnosis, the treatment received or the length of follow-up between the study groups, which could impact patient outcomes. This information was generally poorly documented in the NZCR for PCa. In addition, our study did not identify causes for the different rates of PSA testing among Māori men. However, despite these limitations, we found significant differences in the outcomes.
Conclusion
In this study of only Māori men, lower PSA testing rates were linked to a higher risk of PCa-related death. Therefore, regular PSA testing for Māori could be an important step towards improving cancer-specific survival among Māori men. Inequitable access to PSA testing between Māori and non-Māori men has previously been demonstrated. Ensuring equitable PSA testing rates for Māori should be considered a step towards improving cancer outcomes for Māori men.
Electronic supplementary material
Below is the link to the electronic supplementary material.
Author contributions
B Matti: Project development, Data Collection, Manuscript writing. C Nguyen: Manuscript writing. M Lyndon: Manuscript writing. K Zargar-Shoshtari: Protocol/project development, Manuscript writing/editing.
Funding
Open Access funding enabled and organized by CAUL and its Member Institutions
Data availability
The data supporting these findings were provided by the New Zealand Ministry of Health following ethical approval. De-identified data can be obtained from the primary author, BM, upon reasonable request and with appropriate ethical clearance.
Declarations
Ethical approval
Ethical approval was obtained from the Health and Disability Ethics Committee (HDEC reference number 17/CEN/239). No informed consent was required in this study.
Conflict of interest
Nil.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data supporting these findings were provided by the New Zealand Ministry of Health following ethical approval. De-identified data can be obtained from the primary author, BM, upon reasonable request and with appropriate ethical clearance.

