Evidence map›Paper›PMID 38909174›Full record

ArticleTherapeutic innovation & regulatory science2024

Use of Seamless Study Designs in Oncology Clinical Development- A Survey Conducted by IDSWG Oncology Sub-team.

Yingwen Dong, Gautier Paux, Kristine Broglio, Freda Cooner, Guozhi Gao, Wei He, Lei Gao, Xiaoqiang Xue, Philip He

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Article in Therapeutic innovation & regulatory science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Yingwen DongSanofi, Cambridge, MA, USA.
Gautier PauxSanofi, Cambridge, MA, USA. gautier.paux@sanofi.com.ORCID 0000-0003-3002-6351
Kristine BroglioAstraZeneca, Cambridge, MA, USA.
Freda CoonerEli Lilly and Company, Indianapolis, IN, USA.
Guozhi GaoEisai, Inc, Nutley, NJ, USA.
Wei HeAstraZeneca, Cambridge, MA, USA.
Lei GaoModerna, Inc, Cambridge, MA, USA.
Xiaoqiang XueSyneos Health, Morrisville, NC, USA.
Philip HeDaiichi Sankyo, Basking Ridge, NJ, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seamless study designs have the potential to accelerate clinical development. The use of innovative seamless designs has been increasing in the oncology area; however, while the concept of seamless designs becomes more popular and accepted, many challenges remain in both the design and conduct of these trials. This may be especially true when seamless designs are used in late phase development supporting regulatory decision-making. The Innovative Design Scientific Working Group (IDSWG) Oncology team conducted a survey to understand the current use of seamless study designs for registration purposes in oncology clinical development. The survey was designed to provide insights into the benefits and to identify the roadblocks. A total of 16 questions were included in the survey that was distributed using the ASA Biopharmaceutical Section and IDSWG email listings from August to September 2022. A total of 51 responses were received, with 39 (76%) respondents indicating that their organizations had seamless oncology studies in planning or implementation for registration purposes. Detailed survey results are presented in the manuscript. Overall, while seamless designs offer advantages in terms of timeline reduction and cost saving, they also present challenges related to additional complexity and the need for efficient surrogate clinical endpoints in oncology drug development.

Indexed as

Clinical Trials as TopicMedical OncologyResearch DesignDrug DevelopmentHumansSurveys and QuestionnairesTime FactorsClinical TrialOncologySeamlessSurveyTrial Design

Identifiers

PMID38909174

What OpenQuestion holds

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Registered trials

None linked

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.