Patient and public involvement in the design and conduct of a large, pragmatic observational trial to investigate recurrent, high‐risk non–muscle‐invasive bladder cancer
Bibliographic record
Abstract
BACKGROUND: Patient-centered approaches to research design are particularly important for diseases with complex treatment decision-making, such as recurrent, high-grade non-muscle-invasive bladder cancer (NMIBC). The objective of this article is to describe patient and public involvement (PPI) in designing a large, pragmatic observational trial and to articulate barriers, challenges, and lessons learned for future design. METHODS: Through multistakeholder involvement, a large, pragmatic observational trial was designed to investigate the outcomes of high-risk, recurrent NMIBC, and it was titled Comparison of Intravesical Therapy and Surgery as Treatment Options for Bladder Cancer (CISTO). CISTO's design used the Guidance for Reporting Involvement of Patients and the Public 2 reporting checklist for PPI and built on prior engagement infrastructure in partnership with the Bladder Cancer Advocacy Network. RESULTS: CISTO's PPI began with research prioritization to identify the highest priority questions facing patients with NMIBC. A pragmatic observational study design was selected and refined through stakeholder input. PPI included patients and caregivers organized into an advocate advisory board and clinicians, researchers, payers, and industry representatives organized into an external advisory board. An engagement plan was created to define the stages of PPI and the level and nature of the involvement of each group. PPI was measured quantitatively and qualitatively through evaluation surveys and iterative feedback from board members, with changes made for continuous improvement. CONCLUSIONS: Through intentional PPI, CISTO aims to produce pragmatic and generalizable results that will allow patients to make informed decisions for recurrent, high-risk NMIBC based on their personal experiences. LAY SUMMARY: Involving patients and other stakeholders in research ensures that it reflects the outcomes that matter most to them. This is especially important when research focuses on conditions in which patients face difficult decisions about treatment options. This article describes the key role that stakeholders played in shaping the Comparison of Intravesical Therapy and Surgery as Treatment Options for Bladder Cancer (CISTO) study. It compares treatments for recurrent noninvasive bladder cancer and describes how stakeholders were engaged to design and develop the study and the practices that supported their involvement.
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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 | 0.405 | 0.324 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.004 |
| 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".