Evidence map›Paper›PMID 28282371›Full record

ArticlePLoS biology2017

Increasing efficiency of preclinical research by group sequential designs.

Konrad Neumann, Ulrike Grittner, Sophie K Piper, Andre Rex, Oscar Florez-Vargas, George Karystianis, Alice Schneider, Ian Wellwood, Bob Siegerink, John P A Ioannidis and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 54 citations in OpenAlex.

  1. Trial
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  7. Physical therapy exerts sub-additive and suppressive effects on intracerebral neural stem cell implantation in a rat model of stroke.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2022
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  16. Poster Viewing Sessions PB01-B01 to PB03-V09.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2019
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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

12 authors at 7 institutions in 5 countries.

Konrad NeumannDepartment of Biostatistics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Ulrike GrittnerDepartment of Biostatistics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Sophie K PiperDepartment of Biostatistics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Andre RexCenter for Stroke Research, Charité Universitätsmedizin Berlin, Berlin, Germany.
Oscar Florez-VargasBio-health Informatics Group, School of Computer Science, The University of Manchester, Manchester, United Kingdom.
George KarystianisCentre for Health Informatics, Macquarie University, Sydney, Australia.
Alice SchneiderDepartment of Biostatistics and Clinical Epidemiology, Charité Universitätsmedizin Berlin, Berlin, Germany.
Ian WellwoodCenter for Stroke Research, Charité Universitätsmedizin Berlin, Berlin, Germany.
Bob SiegerinkCenter for Stroke Research, Charité Universitätsmedizin Berlin, Berlin, Germany.
John P A IoannidisMeta-Research Innovation Center at Stanford (METRICS), and Departments of Medicine, of Health Research and Policy, and of Statistics, Stanford University, Stanford, California, United States of America.
Jonathan KimmelmanSTREAM Research Group, Biomedical Ethics Unit, McGill University, Montreal, Canada.
Ulrich DirnaglCenter for Stroke Research, Charité Universitätsmedizin Berlin, Berlin, Germany.
Charité - Universitätsmedizin Berlin · DEBerlin Institute of Health at Charité - Universitätsmedizin Berlin · DEGerman Center for Neurodegenerative Diseases · DEMacquarie University · AUMcGill University · CAStanford University · USUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite the potential benefits of sequential designs, studies evaluating treatments or experimental manipulations in preclinical experimental biomedicine almost exclusively use classical block designs. Our aim with this article is to bring the existing methodology of group sequential designs to the attention of researchers in the preclinical field and to clearly illustrate its potential utility. Group sequential designs can offer higher efficiency than traditional methods and are increasingly used in clinical trials. Using simulation of data, we demonstrate that group sequential designs have the potential to improve the efficiency of experimental studies, even when sample sizes are very small, as is currently prevalent in preclinical experimental biomedicine. When simulating data with a large effect size of d = 1 and a sample size of n = 18 per group, sequential frequentist analysis consumes in the long run only around 80% of the planned number of experimental units. In larger trials (n = 36 per group), additional stopping rules for futility lead to the saving of resources of up to 30% compared to block designs. We argue that these savings should be invested to increase sample sizes and hence power, since the currently underpowered experiments in preclinical biomedicine are a major threat to the value and predictiveness in this research domain.

Indexed as

Biomedical ResearchResearch Design

Identifiers

PMID28282371
PMCPMC5345756
OpenAlexW2593604058

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.