Is a Course of Intermittent Self-dilatation with Topical Corticosteroids Superior at Stabilising Urethral Stricture Disease in Men and Improving Functional Outcomes over a Course of Intermittent Self-dilatation Alone? A Systematic Review and Meta-analysis
Bibliographic record
Abstract
Intermittent self-dilatation (ISD) is a therapeutic strategy used to stabilise a urethral stricture and postpone or avoid further treatment. Adding corticosteroids to this mode of management might further enhance its outcomes by downregulation of collagen deposition and excessive scar tissue formation. To explore whether a course of ISD with topical corticosteroids is superior at stabilising urethral stricture disease in men and improving functional outcomes over a course of ISD alone. This systematic review and meta-analysis was undertaken by the European Association of Urology Urethral Strictures Guideline Panel according to the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines (CRD42021256744). The primary benefit outcome was successful stabilisation of the urethral stricture. Treatment-related complications were the primary harm outcome. In total, 978 records were screened for eligibility, ultimately leading to five included studies, all randomised controlled trials, comprising 250 patients, of whom 124 underwent a course of ISD with corticosteroids and 126 underwent a course of ISD alone, all after direct vision internal urethrotomy (DVIU). Successful stabilisation of the stricture was achieved in 77% and 64% of patients in the group with and without corticosteroids, respectively (p = 0.04). No extra complications related to the addition of corticosteroids to the ISD regimen were reported. The risk of bias of the included studies was generally unclear to high. Based on the currently available data, a course of ISD with topical corticosteroids appears to be safe and superior at stabilising a urethral stricture after DVIU in the short term to a course of ISD alone. However, given the unclear to high risk of bias in the included studies, further high-quality studies are needed to fully underpin this. This study shows that addition of topical corticosteroids to intermittent self-dilatation after direct vision internal urethrotomy can better stabilise the stricture in the short term.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.016 | 0.029 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".