Prostate Cancer in the Caribbean
Bibliographic record
Abstract
Prostate cancer (PC) is one of the principal causes of cancer death worldwide. The mortality rate for PC in the Caribbean is higher than in many developed countries, and there is a difference in the incidence among the various Caribbean nations. Besides surveillance and screening, these factors increase concerns about genetic and other risk factors causing PC incidence. PC research is limited in scope and regularity in the Caribbean, creating a literature gap. This literature review aims to examine the PC situation in the Caribbean to highlight where further studies are needed. This review includes all available studies on PC in the specified Caribbean population from 1958 to 2023 utilising the keywords "Prostate Cancer and Caribbean" on PubMed, Scopus, and ScienceDirect databases. The information is then structured by Caribbean countries and by seven themes. These themes are PC incidence and mortality, demographics, clinicopathology, genetics, non-genetic risks, diagnosis and treatment, and PC control. The findings demonstrated that countries with low resources are burdened by more severe illnesses with worse PC outcomes. Furthermore, territories with national cancer registries seemed to have enhanced methods for PC management. In conclusion, this review is significant because it provides initial support for researchers, administrators, and planners for PC healthcare. Additionally, it gives an opportunity for further epidemiological analyses that can supply more significant insights into the PC situation in the Caribbean. Further research should focus on prevention strategies and the standardisation of treatment procedures to enhance surveillance and improve patient outcomes.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".