ArticleClinical cancer research : an official journal of the American Association for Cancer Research2010
Finding the right dose for cancer therapeutics--can we do better?
Article in Clinical cancer research : an official journal of the American Association for Cancer Research, 2010. 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.
- Maximizing tumour exposure to anti-neuropilin-1 antibody requires saturation of non-tumour tissue antigenic sinks in mice.British journal of pharmacology · 2012Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Unlike other diseases, dose-selection for cancer therapeutics is often based on the maximum-tolerated dose in phase 1 studies involving relatively few patients. In this issue of Clinical Cancer Research, Jain and colleagues provide evidence that lower doses may be as effective as maximum-tolerated doses in the treatment of cancer patients.
Indexed as
Identifiers
20145182What OpenQuestion holds
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.