Evidence map›Paper›PMID 32859663›Full record

ArticleBMJ open2020

Adaptive design methods in dialysis clinical trials: a systematic review protocol.

Conor Judge, Robert P Murphy, Sarah Cormican, Andrew Smyth, Martin O'Halloran, Martin O'Donnell

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMJ open, 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
–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

2 citing papers in PubMed.

  1. Review
  2. 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

6 authors.

Conor JudgeHRB-Clinical Research Facility, National University of Ireland, Galway, Co. Galway, Ireland conor.judge@nuigalway.ie.ORCID 0000-0001-9473-2920
Robert P MurphyHRB-Clinical Research Facility, National University of Ireland, Galway, Co. Galway, Ireland.ORCID 0000-0001-5446-4175
Sarah CormicanWellcome Trust - HRB, Irish Clinical Academic Training, National University of Ireland Galway, Galway, Ireland.
Andrew SmythHRB-Clinical Research Facility, National University of Ireland, Galway, Co. Galway, Ireland.
Martin O'HalloranTranslational Medical Device Lab, National University of Ireland Galway, Galway, Co. Galway, Ireland.
Martin O'DonnellHRB-Clinical Research Facility, National University of Ireland, Galway, Co. Galway, Ireland.

Funding

Wellcome Trust
6 · The paper itself

Abstract

introductionAdaptive design methods are a potential solution to improve efficiency of clinical trials but their uptake in dialysis is unknown. We aim to investigate the use of adaptive design methods in dialysis clinical trials and to cultivate further adoption of adaptive design methods by the nephrology community. METHODS AND ANALYSIS: We will adhere to the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols guidelines and the Cochrane Collaboration Handbook. We will perform a literature search through MEDLINE (PubMed), EMBASE and CENTRAL, a detailed data extraction of trial characteristics and a narrative synthesis of the data. There will be no language restrictions. We will estimate the percentage of adaptive clinical trials per year in dialysis. Subgroup analysis will be performed by dialysis modality, funder and geographical location. ETHICS AND DISSEMINATION: Ethical approval will not be required for this study as data will be obtained from publicly available clinical trials. We will disseminate our results in a peer-reviewed publication. PROSPERO REGISTRATION NUMBER.

Indexed as

Renal DialysisResearch DesignAdaptive Clinical Trials as TopicHumansMeta-Analysis as TopicSystematic Reviews as Topicclinical trialsdialysisend stage renal failure

Identifiers

PMID32859663
PMCPMC7454175

What OpenQuestion holds

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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.