ArticleCPT: pharmacometrics & systems pharmacology2026
Novel Drug-Disease Modeling Framework for Oncology Benefit-Risk Evaluation: Application to Tusamitamab Ravtansine.
Article in CPT: pharmacometrics & systems pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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
1 citing paper in PubMed.
- Novel Drug-Disease Modeling Framework for Oncology Benefit-Risk Evaluation: Application to Tusamitamab Ravtansine.CPT: pharmacometrics & systems pharmacology · 2026Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
This study introduces a novel drug-disease modeling framework designed to assess the benefit-risk balance of antibody-drug conjugates (ADC) in oncology. The framework integrates dose levels, pharmacokinetics, tumor growth dynamics, progression-free survival (PFS), and dose-adjusted adverse events. We demonstrated this through its application to tusamitamab ravtansine (Tusa), an ADC targeting Carcinoembryonic Antigen-Related Cell Adhesion Molecule 5 in non-squamous non-small cell lung cancer (nsq NSCLC). We developed our model using phase I trial safety data from 254 patients (doses: 5-190 mg/m
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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.