Evidence map›Paper›PMID 32170415›Full record

ArticleCancer chemotherapy and pharmacology2020

Impact of tumour size measurement inter-operator variability on model-based drug effect evaluation.

Aurélie Lombard, Hitesh Mistry, Sonya C Chapman, Ivelina Gueoguieva, Leon Aarons, Kayode Ogungbenro

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in Cancer chemotherapy and pharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 58% of its field
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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

6 authors at 3 institutions in 1 country.

Aurélie LombardCentre for Applied Pharmacokinetic Research, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK. aurelie.lombard@postgrad.manchester.ac.uk.
Hitesh MistryDivision of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Manchester, M13 9PT, UK.
Sonya C ChapmanEli Lilly and Company, Erl Wood Manor, Windlesham, UK.
Ivelina GueoguievaEli Lilly and Company, Erl Wood Manor, Windlesham, UK.
Leon AaronsCentre for Applied Pharmacokinetic Research, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK.
Kayode OgungbenroCentre for Applied Pharmacokinetic Research, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Science Centre, University of Manchester, Stopford Building, Oxford Road, Manchester, M13 9PT, UK.
Eli Lilly (United Kingdom) · GBManchester Academic Health Science Centre · GBUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDuring oncology clinical trials, tumour size (TS) measurements are commonly used to monitor disease progression and to assess drug efficacy. We explored inter-operator variability within a subset of a phase III clinical trial conducted from August 1995 to February 1997 and its impact on drug effect evaluation using a tumour growth inhibition model.

methodsOne hundred twenty lesions were measured twice at each time point; once at the hospital and once at the centralised centre. A visual analysis was performed to identify trends within the profiles over time. Linear regression and relative error ratios were used to explore the inter-operator variability of raw TS measurements and model-based estimates.

resultsWhile correlation between patient-level estimates of drug effect was poor (r

conclusionsThe global evaluation of drug effect using modelling approaches might not be affected by inter-operator variability. However, the exploration of covariates for drug effect and the characterisation of an exposure-tumour shrinkage relationship seems limited by the high measurement variability that translates to a poor correlation of individual drug effect estimates. This might be addressed by the use of more precise computer-aided measurement methods.

Indexed as

Models, StatisticalObserver VariationResponse Evaluation Criteria in Solid TumorsTumor BurdenAntineoplastic AgentsCarcinoma, Non-Small-Cell LungClinical Trials, Phase III as TopicHumansLung NeoplasmsMulticenter Studies as TopicAntineoplastic AgentsDrug effect evaluationInter-operator variabilityModellingTumour size measurements

Identifiers

PMID32170415
PMCPMC7125250
OpenAlexW3012453608

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.