Canadian Pediatrics Society position statement on newborn circumcision: a risk-benefit analysis revisited.
Bibliographic record
Abstract
INTRODUCTION: The Canadian Pediatrics Society (CPS) recently released a position statement on early infant (newborn) male circumcision (EIMC). It concluded that since benefits do not exceed risks, circumcision should only be performed on boys in high-risk populations or circumstances. This contradicts recommendations by the American Academy of Pediatrics and the Centers for Disease Control and Prevention (CDC) whose policies each support more widespread implementation of EIMC. Here we review the CPS statement, particularly its risk-benefit analysis, to determine the basis for this disparity. MATERIALS AND METHODS: We performed a risk-benefit analysis based on relevant literature retrieved from PubMed reporting frequency of each condition, giving emphasis to data from meta-analyses and randomized controlled trials. RESULTS: Although the CPS recognized some of the benefits of EIMC, its inclusion of weak studies of adverse events led to these being over-estimated, greatly exceeding the figure of < 0.5% found in a recent large, technically robust, CDC study. The CPS under-estimated benefits by omitting balanitis, balanoposthitis, prostate cancer, some sexually transmitted infections and candidiasis, and failing to consider lifetime prevalence of urinary tract infections in uncircumcised males. In contrast, our more inclusive risk-benefit analysis found benefits exceed risks by approximately 100 to 1 and that lack of EIMC contributes to adverse medical conditions, some potentially fatal, in approximately half of uncircumcised males. CONCLUSIONS: The 2015 CPS position statement on EIMC is at odds with the evidence. The CPS conclusions stem from errors in its risk-benefit analysis. In light of our findings we recommend the CPS issue a revised statement.
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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 | 0.086 | 0.212 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.004 |
| Bibliometrics | 0.007 | 0.010 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.010 | 0.020 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".