Evidence map›Paper›PMID 27891651›Full record

ArticleStatistics in medicine2017

Developing a Bayesian adaptive design for a phase I clinical trial: a case study for a novel HIV treatment.

Alexina J Mason, Juan Gonzalez-Maffe, Killian Quinn, Nicki Doyle, Ken Legg, Peter Norsworthy, Roy Trevelion, Alan Winston, Deborah Ashby

Open access · hybridAbstract read
In one paragraph

Article in Statistics in medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. The Bayesian Design of Adaptive Clinical Trials.International journal of environmental research and public health · 2021
    Review
  3. Article
  4. Article
  5. Article
  6. Article
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

9 authors at 2 institutions in 1 country.

Alexina J MasonDepartment of Health Services Research and Policy, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, U.K.
Juan Gonzalez-MaffeImperial Clinical Trials Unit, Imperial College London, 68 Wood Lane, London W12 7RH, U.K.
Killian QuinnSection of Infectious Diseases, Department of Medicine, Imperial College London, London, W2 1PG, U.K.
Nicki DoyleSection of Infectious Diseases, Department of Medicine, Imperial College London, London, W2 1PG, U.K.
Ken LeggSection of Infectious Diseases, Department of Medicine, Imperial College London, London, W2 1PG, U.K.
Peter NorsworthySection of Infectious Diseases, Department of Medicine, Imperial College London, London, W2 1PG, U.K.
Roy TrevelionHIV i-Base.
Alan WinstonSection of Infectious Diseases, Department of Medicine, Imperial College London, London, W2 1PG, U.K.
Deborah AshbyImperial Clinical Trials Unit, Imperial College London, 68 Wood Lane, London W12 7RH, U.K.ORCID 0000-0003-3146-7466
Imperial College London · GBUniversity of London · GB

Funding

Medical Research Council MR/J002178/1
6 · The paper itself

Abstract

The design of phase I studies is often challenging, because of limited evidence to inform study protocols. Adaptive designs are now well established in cancer but much less so in other clinical areas. A phase I study to assess the safety, pharmacokinetic profile and antiretroviral efficacy of C34-PEG

Indexed as

Bayes TheoremClinical Trials, Phase I as TopicEndpoint DeterminationHIV Envelope Protein gp41HIV Fusion InhibitorsHIV InfectionsHumansPeptide FragmentsHIV Envelope Protein gp41HIV Fusion Inhibitorspeptide C34Peptide FragmentsBayesian adaptive designscontinual reassessment methoddose-finding studiesfusion inhibitorHIV clinical trialsphase I

Identifiers

PMID27891651
PMCPMC5412923
OpenAlexW2557484441

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.