Prolactin-increasing antipsychotics use and reduced risk of prostate cancer: a population-wide cohort and nested case-control study
Sun, Q.; Huang, Y.; Hu, Y.; Tian, W.; Song, S.; Chu, R. Y. K.; Mu, X.; Min, F.; Cheng, F. W. T.; Liu, W.; Wei, C.; Zhou, L.; Liu, B.; Xu, Z.; Chan, E. W. Y.; Wong, I. C. K.; Lai, F.
Show abstract
ObjectiveThis study aims to investigate whether users of prolactin-increasing antipsychotics exhibit a lower risk of prostate cancer compared to those using prolactin-sparing antipsychotics. MethodsUsing territory-wide electronic health records from Hong Kong, we conducted a retrospective cohort study along with a nested case-control analyses involving adults who were prescribed antipsychotics and had no history of cancer, organ transplantation, or sexually transmitted infections. Baseline characteristics included demographics, comorbidities, and co-medications. The outcome of interest was incident prostate cancer. Poisson regression, incorporating inverse probability of treatment weighting (IPTW) and multivariable adjustment, were used to estimate incidence rate ratios (IRR) in the cohort analyses. A conditional logistic regression model was applied in the nested case-control analyses to calculate odds ratios (OR) associated with longer-term use of prolactin-increasing antipsychotics, compared to short-term use or non-use. ResultsThe cohort study included 81,177 individuals in the primary analyses. Users of prolactin-increasing antipsychotics showed a halved risk of prostate cancer compared to the prolactin-sparing group, with an adjusted IRR (aIRR) of 0.410 (95% CI: 0.237-0.710). In the nested case-control analyses, 291 cases were identified. A similarly reduced risk was observed among those who had used prolactin-increasing antipsychotics for 1-5 years, with an adjusted OR (aOR) of 0.569 (95% CI: 0.356-0.909). This association is more pronounced in people under the age of 75 but not among those aged above. ConclusionProlactin-increasing antipsychotics were associated with a markedly lower risk of prostate cancer. If the findings are further substantiated, this potential benefit from prolactin-increasing antipsychotics should be considered.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Rare but elevated incidence of hematological malignancy after clozapine use in schizophrenia: a population cohort study 92%
- Adverse Outcomes and Mortality in Users of Non-Steroidal Anti-Inflammatory Drugs tested positive for SARS-CoV-2: A Danish Nationwide Cohort Study 89%
- Clinical benefits of modifying the evening light environment in an acute psychiatric unit: A single-centre, two-arm, parallel-group, pragmatic effectiveness randomised controlled trial 88%
Similar papers in this journal
Similar papers in this journal
- Circulating insulin-like growth factor-I, total and free testosterone concentrations and prostate cancer risk in 200,000 men in UK Biobank 91%
- Free testosterone and malignant melanoma risk in men: prospective analyses of testosterone and SHBG with 19 cancers in men and postmenopausal women UK Biobank 89%
- African-specific improvement of a polygenic hazard score for age at diagnosis of prostate cancer 88%
Similar papers in this journal
- Adverse effects of antipsychotic drugs on metabolism depend on drug dosing and feeding times 88%
- Mediation and Longitudinal Analysis to interpret the association between clozapine pharmacokinetics, pharmacogenomics, and absolute neutrophil count 88%
- Clozapine prescribing in Germany: temporal trends and regional variations, 2012 to 2022 86%
Similar papers in this journal
- Protocol summary and statistical analysis plan for the randomized trial of early detection of clinically significant prostate cancer (ProScreen) 89%
- Prescribing patterns for medical treatment of suspected prostatic obstruction: A spatiotemporal statistical analysis of Scottish open access data 89%
- An overview of global monitoring systems for the side effects and adverse events associated with medicinal cannabis use: A scoping review using a systematic approach 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.