Evidence map›Paper›PMID 19306260›Full record

ArticlePharmaceutical statistics

Interval approach to assessing antitumor activity for tumor xenograft studies.

Jianrong Wu, Peter J Houghton

Abstract readComparative Study
In one paragraph

Article in Pharmaceutical statistics. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

2 authors.

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

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

In preclinical cancer drug screening tumor xenograft experiments, the tumor growth inhibition ratio (T/C) is commonly used to assess the antitumor activity of the agents. Unfortunately, this measurement can discard useful data and result in a high false-negative rate. Furthermore, the degree of antitumor activity based on the T/C ratio is assessed on the basis of an arbitrary cutoff point that does not reflect variations in different tumor lines. To overcome these drawbacks, we propose an adjusted area-under-the-curve (aAUC) ratio to quantify tumor growth inhibition. A nonparametric bootstrap t-interval of the aAUC ratio is also proposed for assessing the significance of the antitumor activity of the agents. The proposed method is then applied to a real tumor xenograft study.

Indexed as

Antineoplastic AgentsConfidence IntervalsAnimalsArea Under CurveCell Line, TumorHumansMiceXenograft Model Antitumor AssaysAntineoplastic Agents

Identifiers

PMID19306260
PMCPMC2964842

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.