Evidence map›Paper›PMID 31242873›Full record

ArticleBMC cancer2019

A new pragmatic design for dose escalation in phase 1 clinical trials using an adaptive continual reassessment method.

Bernard North, Hemant Mahendrakumar Kocher, Peter Sasieni

Registry-linked trialAbstract read
In one paragraph

Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03307148 (A Phase 1B Study Repurposing ATRA as Stromal Targeting Agent Along With Gemcitabine and Nab-Paclitaxel for Pancreatic Cancer), which is not on this map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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.

NCT03307148 phase1completednot on this map

A Phase 1B Study Repurposing ATRA as Stromal Targeting Agent Along With Gemcitabine and Nab-Paclitaxel for Pancreatic Cancer (STAR_PAC)

TypeinterventionalSponsorBarts & The London NHS TrustRan2016 to 2019Enrolled29ConditionsPancreatic AdenocarcinomaArmsATRA, Gemcitabine, Nab-paclitaxel
3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Trial
  2. Plants (Basel, Switzerland) · 2025
    Review
  3. Article
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  5. Article
  6. Review
  7. Article
  8. Review
  9. A Road Map for Designing Phase I Clinical Trials of Radiotherapy-Novel Agent Combinations.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Review
  10. Review
  11. Review
  12. The Bayesian Design of Adaptive Clinical Trials.International journal of environmental research and public health · 2021
    Review
  13. Article
  14. Review
  15. Antifibrotic therapy to normalize the tumor microenvironment.Journal of translational medicine · 2020
    Review
  16. Review
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

3 authors.

Bernard NorthCancer Prevention Trials Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.
Hemant Mahendrakumar KocherCentre for Tumour Biology and Experimental Cancer Medicine, Barts Cancer Institute- a CRUK Centre of Excellence, Queen Mary University London, London, EC1M 6BQ, UK. h.kocher@qmul.ac.uk.ORCID http://orcid.org/0000-0001-6771-1905
Peter SasieniCancer Prevention Trials Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, UK.

Funding

Cancer Research UK 16893Cancer Research UK 25356Cancer Research UK A16893Medical Research Council MR/M015610/1
6 · The paper itself

Abstract

backgroundA key challenge in phase I trials is maintaining rapid escalation in order to avoid exposing too many patients to sub-therapeutic doses, while preserving safety by limiting the frequency of toxic events. Traditional rule-based designs require temporarily stopping recruitment whilst waiting to see whether enrolled patients develop toxicity. This can be both inefficient and introduces logistic challenges to recruitment in the clinic. We describe a novel two-stage dose assignment procedure designed for a phase I clinical trial (STARPAC), where a good estimation of prior was possible.

methodsThe STARPAC design uses rule-based design until the first patient has a dose limiting toxicity (DLT) and then switches to a modified CRM, with rules to handle patient recruitment during follow-up of earlier patients. STARPAC design is compared via simulations with the TITE-CRM and 3 + 3 methods in various toxicity estimate (T1-5), rate of recruitment (R1-2), and DLT events timing (DT1-4), scenarios using several metrics: accuracy of maximum tolerated dose (MTD), numbers of DLTs, number of patients enrolled and those missed; duration of trial; and proportion of patients treated at the therapeutic dose or MTD.

resultsThe simulations suggest that STARPAC design performed well in MTD estimation and in treating patients at the highest possible therapeutic levels. STARPAC and TITE-CRM were comparable in the number of patients required and DLTs incurred. The 3 + 3 design often had fewer patients and DLTs although this is due to its low escalation rate leading to poor MTD estimation. For the numbers of declined patients and MTD estimation 3 + 3 is uniformly worse, with STARPAC being better in those metrics for high toxicity scenarios and TITE-CRM better with low toxicity. In situations including doses with toxicities both above and below 30%, the STARPAC design outperformed TITE-CRM with respect to every metric.

conclusionWhen considering doses with toxicities both above and below the target of 30% toxicities, the two-stage STARPAC dose escalation design provides a more efficient phase I trial design than either the traditional 3 + 3 or the TITE-CRM design. Trialists should model various designs via simulation to adopt the most efficient design for their clinical scenario.

trial registrationClinical Trials NCT03307148 (11 October 2017).

Indexed as

Antineoplastic AgentsAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, Pancreatic DuctalPancreatic NeoplasmsResearch DesignTretinoinAlbuminsBayes TheoremClinical Trials, Phase I as TopicDeoxycytidineDrug RepositioningGemcitabineHumansMaximum Tolerated DosePaclitaxelPancreas130-nm albumin-bound paclitaxelAlbuminsAntineoplastic AgentsDeoxycytidineGemcitabinePaclitaxelTretinoin3 + 3 designAdaptive designBayesian adaptiveCRMDose-findingMaximal tolerated doseModel-based designRule-based designSimulation

Identifiers

PMID31242873
PMCPMC6595589

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Registered trials

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.