ArticleJournal of biopharmaceutical statistics2009
Assessing cytotoxic treatment effects in preclinical tumor xenograft models.
Article in Journal of biopharmaceutical statistics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Article
- A simulation-based sample size calculation method for pre-clinical tumor xenograft experiments.Journal of biopharmaceutical statistics · 2018Article
- Inhibitor of MYC identified in a Kröhnke pyridine library.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Assessment of antitumor activity for tumor xenograft studies using exponential growth models.Journal of biopharmaceutical statistics · 2011Article
- Confidence intervals for the difference of median failure times applied to censored tumor growth delay data.Statistics in biopharmaceutical research · 2011Article
- Assessing interactions for fixed-dose drug combinations in subcutaneous tumor xenograft studies.Pharmaceutical statisticsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In preclinical solid tumor xenograft experiments, tumor response to cytotoxic agents is often assessed by tumor cell kill. Log10 cell kill (LCK) is commonly used to quantify the tumor cell kill in such experiments. For comparisons of antitumor activity between tumor lines, the LCK values are converted to an arbitrary rating; for example, the treatment effect is considered significant if the LCK > 0.7 (Corbett et al., 2003). The drawback of using such a predefined cutoff point is that it does not account for the true variation of the experiments. In this article, a nonparametric bootstrap percentile interval of the LCK is proposed. The cytotoxic treatment effect can be assessed by the confidence limits of the LCK. Monte Carlo simulations are conducted to study the coverage probabilities of the proposed interval for small samples. Tumor xenograft data from a real experiment are analyzed to illustrate the proposed method.
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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.