ReviewJournal of the advanced practitioner in oncology2025
Optimized Dosing of Regorafenib in Patients With Metastatic Colorectal Cancer: A Practical Guide for Oncologists, Advanced Practice Providers, and Pharmacists.
Review in Journal of the advanced practitioner in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The multikinase inhibitor regorafenib has improved outcomes for patients with metastatic colorectal cancer (mCRC) following failure of standard therapies. However, regorafenib may be associated with treatment-emergent adverse events (TEAEs) requiring dose modifications. The regorafenib dose-optimization study (ReDOS) investigated a systematic method for titrating regorafenib up to the highest tolerable dose through a prospective evaluation of a first-cycle dose-escalation strategy, compared with standard dosing in patients with refractory mCRC. ReDOS met its primary endpoint, with more patients starting cycle 3 in the dose-escalation group (43%) vs. the standard-dose group (26%;
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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.