Evidence map›Paper›PMID 20721784›Full record

ArticleJournal of biopharmaceutical statistics2010

Statistical inference for tumor growth inhibition T/C ratio.

Jianrong Wu

Abstract read
In one paragraph

Article in Journal of biopharmaceutical statistics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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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

1 author.

Jianrong WuDepartment of Biostatistics, St. Jude Children's Research Hospital, Memphis, Tennessee 38105-3678, USA. jianrong.wu@stjude.org

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI SUZANNE J. BAKER · 1985 to 2026
$166.9M
ANTINEOPLASTIC ALKYLGLYCEROLIPIDSR01CA042216 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI PIANTADOSI, CLAUDE · 1988 to 1990
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NCI NIH HHS CA21765NCI NIH HHS N01 CM042216NCI NIH HHS N01-CM-42216NCI NIH HHS P30 CA021765
6 · The paper itself

Abstract

The tumor growth inhibition T/C ratio is commonly used to quantify treatment effects in drug screening tumor xenograft experiments. The T/C ratio is converted to an antitumor activity rating using an arbitrary cutoff point and often without any formal statistical inference. Here, we applied a nonparametric bootstrap method and a small sample likelihood ratio statistic to make a statistical inference of the T/C ratio, including both hypothesis testing and a confidence interval estimate. Furthermore, sample size and power are also discussed for statistical design of tumor xenograft experiments. Tumor xenograft data from an actual experiment were analyzed to illustrate the application.

Indexed as

AlgorithmsAnimalsAntibodies, MonoclonalBiostatisticsConfidence IntervalsHumansLikelihood FunctionsMiceNeoplasmsSample SizeStatistics, NonparametricTreatment OutcomeXenograft Model Antitumor AssaysAntibodies, Monoclonal

Identifiers

PMID20721784
PMCPMC4668933

What OpenQuestion holds

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Read underepoch 390

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.