Androgen deprivation therapy in the treatment of prostate cancer and dementia risk: A systematic review and meta-analysis.
Bibliographic record
Abstract
5044 Background: Androgen deprivation therapy (ADT) to treat prostate cancer may be associated with an increased risk of dementia, but existing studies have shown conflicting results. Here we conduct a systematic review and meta-analysis on the association of ADT in the treatment of prostate cancer with the risk of dementia. Methods: We conducted a systematic review of articles reporting the outcome of dementia among individuals with prostate cancer in those exposed to ADT versus a lesser-exposed comparison group (e.g. no ADT, intermittent ADT) using the PRISMA statement guidelines. Two authors independently carried out searches in PubMed (1966–present), Web of Science (1945–present), Embase (1966–present), and PsycINFO (1806–present). The search was undertaken December 4th, 2016. We assessed the validity of each study per the Newcastle-Ottawa Scale criteria. We meta-analyzed studies reporting an effect estimate and controlling for confounding.Random- or fixed-effects meta-analytic models were used in the presence or absence of heterogeneity, respectively, per the I2statistic. Small study effects were evaluated using Egger and Begg’s tests. Results: Nine studies were included in the systematic review. Seven studies reported an adjusted effect estimate for dementia risk. A random-effects meta-analysis of studies reporting any dementia outcome, which included 50,541 individuals, showed an increased risk of dementia among ADT users (hazard ratio [HR], 1.47; 95% confidence interval [CI], 1.08–2.00; p = 0.02). We separately meta-analyzed studies reporting all-cause dementia (HR, 1.46; 95% CI, 1.05–2.02; p < 0.001) and Alzheimer’s disease (HR, 1.25; 95% CI, 0.99–1.57; p = 0.06). The I2statistic to evaluate the proportion of heterogeneity due to study variation was 76% (95% CI, 47–89; p < 0.001) for the primary analysis. There was no evidence of bias from small study effects (Egger, p = 0.19; Begg, p = 1.00). Conclusions: The currently available combined evidence suggests that ADT in the treatment of prostate cancer may be associated with an increased risk of dementia. The potential for neurocognitive deficits secondary to ADT should be discussed with patients and evaluated prospectively.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.013 | 0.027 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.038 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".