Use of the ShangRing circumcision device in boys below 18 years old in Kenya: results from a pilot study
Bibliographic record
Abstract
INTRODUCTION: Male circumcision is a proven prevention strategy against the spread of HIV. The World Health Organization's new 2016-2021 strategic framework on voluntary medical male circumcision (VMMC) targets 90% of males aged 10-29 years to receive circumcision by 2021 in 14 priority sub-Saharan countries while anticipating an increase in the demand for infant circumcision. It also states that the use of circumcision devices is a safe and efficient innovation to accelerate attainment of these goals. The primary objective of this pilot study was to evaluate the safety and acceptability of the ShangRing, a novel circumcision device, in boys below 18 years of age. METHODS: A total of 80 boys, 3 months to 17 years old, were circumcised using the no-flip ShangRing technique. All rings were removed 5-7 days later. Participants were evaluated weekly until the wound was completely healed. Data on procedure times, adverse events (AEs), time to clinical wound healing and satisfaction were recorded and analysed. RESULTS: Nearly all (79/80, 98.8%) circumcisions were successfully completed using the no-flip ShangRing technique without complications. In one (1.2%) case, the outer ring slipped off after the foreskin was removed and the procedure was completed by stitching. The mean circumcision and ring removal times were 7.4 ± 3.2 and 4.4 ± 4.2 min, respectively. There were four (5%) moderate AEs, which were managed conservatively. No severe AEs occurred. The mean time to complete clinical healing was 29.8 ± 7.3 days. Participants or their parents liked ShangRing circumcision because it improved hygiene, was quick and possessed an excellent cosmetic appearance. Most (72/80, 94.7%) were very satisfied with the appearance of the circumcised penis, and all (100%) said they would recommend circumcision to others. CONCLUSIONS: Our results suggest that no-flip ShangRing VMMC is safe and acceptable in boys below 18 years of age. Our results are to be compared those seen following ShangRing VMMC in African men. Further study with larger sample sizes are needed to explore the scalability of the ShangRing in larger paediatric cohorts in Africa. We believe that the ShangRing has great potential for use in all age groups from neonates to adults, which would simplify device implementation.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".