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STEP-1: A SickKids pilot providing upfront financial support for pediatric and adolescent patients travelling to access academic phase 1-2 studies in Canada.

2025· article· en· W4410809619 on OpenAlexafffundabout
Sarah Cohen‐Gogo, Nathalie Costie, NormanJ. Cook, Aiman Siddiqi, Ashley Doka, Karen Fung, Vijay Ramaswamy, James A. Whitlock, Daniel A. Morgenstern

Bibliographic record

VenueJournal of Clinical Oncology · 2025
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsHospital for Sick Children
FundersGarron Family Cancer Centre
KeywordsMedicinePhase (matter)Family medicine

Abstract

fetched live from OpenAlex

e13501 Background: Equitable access to early phase trials for all Canadian children with hard-to-cure cancer is crucial. While industry-sponsored studies cover travel costs, academic trials lack similar resources. STEP-1 provides upfront financial support for patients (pts) to travel and access academic early phase trials at SickKids. Here, we report pt demographics, financial metrics and initial feedback from healthcare providers (HCP) and families for pts supported between Mar-Dec 2024. Methods: Eligible studies were academic-sponsored early phase trials. Pts were eligible for financial support from study consent, without any income-based criteria. STEP-1 covered upfront costs for travel, accommodation, meals, parking and transportation for pt and one caregiver. Data on tumor diagnosis, home address and expenses related to study visits were collected. Our target recruitment was 10 pts in 12 months (mo) (0.8 pt/mo). As part of an approved quality improvement project, electronic surveys were sent to families and referring HCP to evaluate their experience. Results: Ten studies were eligible, with SickKids being the only Canadian site for 5. Fifteen pts (1.6 pt/mo), in 5 studies, were supported for a median time of 4.2 mo (0-9.2). Twelve pts remained on-study at data cut-off. Ten pts were from Ontario, 5 travelled from out-of-province. The median expense per pt was 11,259 CAD (1,165-27,000) for a median of 4 visits (1-46). Ten families were contacted for a baseline survey with a 70% response rate. Three pts had previously participated in trials without any study financial support. All families (7/7) reported that the petty cash provided was sufficient to cover their expenses and rated the accommodation/travel booking process as very good/excellent. Eleven referring HCP teams were contacted with a response rate of 46% (5/11). Seven responses were received for 5 pts, as up to 3 HCP were surveyed per pt. All HCP (7/7) had previously referred a pt for a phase 1-2 study at SickKids. Their most useful resource about early phase studies (7/7) and STEP-1 (5/7) was direct communication with disease expert or study team. Six of 7 families and 3/3 HCP declared that the decision to participate would have been the same without STEP-1. All families (7/7) and HCP (6/6) rated communication with STEP-1 as very good/excellent. All HCP (6/6) declared minimum support was required once pts were enrolled and supported. Conclusions: Recruitment for STEP-1 exceeded our target by 100%, with positive feedback from both families and referring HCP. The demonstrated need to better support pediatric pts in accessing academic early phase trials has inspired a national expansion, supported by the pan-Canadian ACCESS consortium, with new sites in British Columbia and Québec. Our continued goal will be to address access inequities and increase pt diversity in early phase academic trials.

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 imitation

Not 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.

metaresearch head score (Codex)0.014
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.980
Threshold uncertainty score0.843

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.001
Open science0.0020.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0170.002

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.

Opus teacher head0.470
GPT teacher head0.640
Teacher spread0.170 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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