Evidence map›Paper›PMID 38181316›Full record

ReviewJCO precision oncology2024

Handling Incomplete or Late-Onset Toxicities in Early-Phase Dose-Finding Clinical Trials: Current Practice and Future Prospects.

Zhulin Yin, Adrian P Mander, Johann S de Bono, Haiyan Zheng, Christina Yap

Abstract readReview
In one paragraph

Review in JCO precision oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Zhulin YinClinical Trials and Statistics Unit, Institute of Cancer Research, London, United Kingdom.ORCID 0000-0003-4911-1708
Adrian P ManderCentre for Trials Research, Cardiff University, Cardiff, United Kingdom.
Johann S de BonoDrug Development Unit, The Institute of Cancer Research and the Royal Marsden NHS Foundation Trust, London, United Kingdom.ORCID 0000-0002-2034-595X
Haiyan ZhengDepartment of Mathematical Sciences, University of Bath, Bath, United Kingdom.ORCID 0000-0002-3385-2117
Christina YapClinical Trials and Statistics Unit, Institute of Cancer Research, London, United Kingdom.ORCID 0000-0002-6715-2514

Funding

Cancer Research UK RCCPDF\100008National Institute for Health Research (Biomedical Research Center / Royal Marsden NHS Foundation Trust
6 · The paper itself

Abstract

purposeThe way late-onset toxicities are managed can affect trial outcomes and participant safety. Specifically, participants often might not have completed their entire follow-up period to observe any toxicities before new participants would be recruited. We conducted a methodological review of published early-phase dose-finding clinical trials that used designs accounting for partial and complete toxicity information, aiming to understand (1) how such designs were implemented and reported and (2) if sufficient information was provided to enable the replicability of trial results.

methodsUntil March 26, 2023, we identified 141 trials using the rolling 6 design, the time-to-event continuous reassessment method (TITE-CRM), the TITE-CRM with cycle information, the TITE Bayesian optimal interval design, the TITE cumulative cohort design, and the rapid enrollment design. Clinical settings, design parameters, practical considerations, and dose-limiting toxicity (DLT) information were extracted from these published trials.

resultsThe TITE-CRM (61, 43.3%) and the rolling 6 design (76, 53.9%) were most frequently implemented in practice. Trials using the TITE-CRM had longer DLT assessment windows beyond the first cycle compared with the rolling 6 design (52.5%

conclusionWhen compared with trials using the rolling 6 design, those implementing the TITE-CRM design exhibited notable deficiencies in reporting essential details necessary for reproducibility. Inadequate reporting quality of advanced model-based trial designs hinders their credibility. We provide recommendations that can improve transparency, reproducibility, and accurate interpretation of the results for such designs.

Indexed as

Bayes TheoremHumansReproducibility of Results

Identifiers

PMID38181316
PMCPMC10793990

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.