Evidence map›Paper›PMID 35198796›Full record

ArticleContemporary clinical trials communications2022

Exposure driven dose escalation design with overdose control: Concept and first real life experience in an oncology phase I trial.

Sandrine Micallef, Alexandre Sostelly, Jiawen Zhu, Paul G Baverel, Francois Mercier

Abstract read
In one paragraph

Article in Contemporary clinical trials communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Advancing drug development with "Fit-for-Purpose" modeling informed approaches.Journal of pharmacokinetics and pharmacodynamics · 2025
    Review
  3. Article
  4. Moving the needle for oncology dose optimization: A call for action.CPT: pharmacometrics & systems pharmacology · 2024
    Article
  5. Article
  6. Early phase clinical trials in oncology: Realising the potential of seamless designs.European journal of cancer (Oxford, England : 1990) · 2023
    Article
  7. 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.

Sandrine MicallefClinical Pharmacology, F. Hoffmann-La Roche AG, Basel, Switzerland.
Alexandre SostellyClinical Pharmacology, F. Hoffmann-La Roche AG, Basel, Switzerland.
Jiawen ZhuBiostatistics, Genentech, Inc., San Francisco, USA.
Paul G BaverelClinical Pharmacology, F. Hoffmann-La Roche AG, Basel, Switzerland.
Francois MercierBiostatistics, F. Hoffmann-La Roche AG, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEscalation With Overdose Control (EWOC) designs are increasingly used to ensure dose-toxicity curve of investigational oncology drugs is efficiently characterized during dose escalation steps. We propose a novel EWOC-based method that integrates the longitudinal pharmacokinetic (PK) data of individual patients in a Bayesian forecasting exposure-safety framework.

methodsThe method, called exposure-driven EWOC (ED-EWOC), relies on a population PK model coupled with a Bayesian logistic regression model to make dose recommendation for the next cohort of patients.

resultsWe applied ED-EWOC to a real oncology clinical trial in parallel to a traditional EWOC approach. We found that for comparable priors, ED-EWOC dose recommendations were equivalent to the one suggested by EWOC when PK is dose proportional with low inter-individual variability.

conclusionThis case example demonstrates that ED-EWOC is logistically feasible during a trial conduct when PK bioanalysis can be expedited in the dose escalation phase. Overall, we anticipate that exposure-guided Bayesian designs could benefit patients and drug developers to identify the optimal dose steps of novel compounds entering the clinic with suspected liability in PK or that exhibit large inter-individual variability.

Indexed as

Adaptive designsarea under the concentration-time curve, AUCBayesian inferencesBayesian logistic regression model, BLRMContinual Reassessment Method, CRMdose limiting toxicity, DLTEscalation with overdose control (EWOC)Escalation With Overdose Control, EWOCExposureexposure-driven EWOC, ED-EWOCFirst Order Conditional Estimation, FOCEmaximum tolerated dose, MTDonce every 3 weeks, Q3Wpharmacodynamic, PDpharmacokinetic, PKPopulation pharmacokinetic modeling

Identifiers

PMID35198796
PMCPMC8851091

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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.