Cargando…

Risk of bias and reporting completeness of randomised controlled trials in burn care: protocol for a systematic review

INTRODUCTION: Burn care represents a healthcare and economic burden to patients internationally. Choice of the most clinically effective treatment strategies requires evidence which is best obtained through high-quality randomised controlled trials (RCT). The number of published RCTs of burn care is...

Descripción completa

Detalles Bibliográficos
Autores principales:	Young, Amber, Reeves, Barnaby C, Cheng, Hung-Yuan, Wasiak, Jason, Muir, Duncan, Davies, Anna, Blazeby, Jane
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BMJ Publishing Group 2019
Materias:	Research Methods
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6937119/ https://www.ncbi.nlm.nih.gov/pubmed/31857316 http://dx.doi.org/10.1136/bmjopen-2019-033472

Ejemplares similares

Systematic review of clinical outcome reporting in randomised controlled trials of burn care
por: Young, Amber E, et al.
Publicado: (2019)

Agreement on what to measure in randomised controlled trials in burn care: study protocol for the development of a core outcome set
por: Young, Amber, et al.
Publicado: (2017)

Scoping and targeted reviews to support development of SPIRIT and CONSORT extensions for randomised controlled trials with surrogate primary endpoints: protocol
por: Manyara, Anthony Muchai, et al.
Publicado: (2022)

Commentary: An Even Clearer Portrait of Bias in Observational Studies?
por: Davies, Neil M.
Publicado: (2015)

Detailed systematic analysis of recruitment strategies in randomised controlled trials in patients with an unscheduled admission to hospital
por: Rowlands, Ceri, et al.
Publicado: (2018)

ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions
por: Sterne, Jonathan AC, et al.
Publicado: (2016)

AHT-ChIP-seq: a completely automated robotic protocol for high-throughput chromatin immunoprecipitation
por: Aldridge, Sarah, et al.
Publicado: (2013)

Protocol for the development of SPIRIT and CONSORT extensions for randomised controlled trials with surrogate primary endpoints: SPIRIT-SURROGATE and CONSORT-SURROGATE
por: Manyara, Anthony Muchai, et al.
Publicado: (2022)

Collider Bias Is Only a Partial Explanation for the Obesity Paradox
por: Sperrin, Matthew, et al.
Publicado: (2016)

Genomic loci susceptible to systematic sequencing bias in clinical whole genomes
por: Freeman, Timothy M., et al.
Publicado: (2020)

AMSTAR 2: a critical appraisal tool for systematic reviews that include randomised or non-randomised studies of healthcare interventions, or both
por: Shea, Beverley J, et al.
Publicado: (2017)

Selection Bias When Estimating Average Treatment Effects Using One-sample Instrumental Variable Analysis
por: Hughes, Rachael A., et al.
Publicado: (2019)

Brief Report: Negative Controls to Detect Selection Bias and Measurement Bias in Epidemiologic Studies
por: Arnold, Benjamin F., et al.
Publicado: (2016)

Gene ontology analysis for RNA-seq: accounting for selection bias
por: Young, Matthew D, et al.
Publicado: (2010)

Bounding Bias Due to Selection
por: Smith, Louisa H., et al.
Publicado: (2019)

The Cochrane Collaboration’s tool for assessing risk of bias in randomised trials
por: Higgins, Julian P T, et al.
Publicado: (2011)

Development of a single, practical measure of surgical site infection (SSI) for patient self-report and observer completion: a novel method of questionnaire design
por: Macefield, Rhiannon, et al.
Publicado: (2015)

The Importance of Making Assumptions in Bias Analysis
por: MacLehose, Richard F., et al.
Publicado: (2021)

IDEAL framework for surgical innovation 3: randomised controlled trials in the assessment stage and evaluations in the long term study stage
por: Cook, Jonathan A, et al.
Publicado: (2013)

Correcting signal biases and detecting regulatory elements in STARR-seq data
por: Kim, Young-Sook, et al.
Publicado: (2021)

Correcting for sequence biases in present/absent calls
por: Schuster, Eugene F, et al.
Publicado: (2007)

Quantifying Position-Dependent Codon Usage Bias
por: Hockenberry, Adam J., et al.
Publicado: (2014)

Quantification of GC-biased gene conversion in the human genome
por: Glémin, Sylvain, et al.
Publicado: (2015)

Applying GRADE-CERQual to qualitative evidence synthesis findings–paper 7: understanding the potential impacts of dissemination bias
por: Booth, Andrew, et al.
Publicado: (2018)

Differential dropout and bias in randomised controlled trials: when it matters and when it may not
por: Bell, Melanie L, et al.
Publicado: (2013)

Are prolonged sitting and sleep restriction a dual curse for the modern workforce? a randomised controlled trial protocol
por: Vincent, Grace E, et al.
Publicado: (2020)

Improving RNA-Seq expression estimates by correcting for fragment bias
por: Roberts, Adam, et al.
Publicado: (2011)

Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries
por: Aird, Daniel, et al.
Publicado: (2011)

Nuclease-mediated depletion biases in ribosome footprint profiling libraries
por: Zinshteyn, Boris, et al.
Publicado: (2020)

The Dynamic Codon Biaser: calculating prokaryotic codon usage biases
por: Dehlinger, Brian, et al.
Publicado: (2021)

An Improved Codon Modeling Approach for Accurate Estimation of the Mutation Bias
por: Latrille, Thibault, et al.
Publicado: (2022)

Biases in Demographic Modeling Affect Our Understanding of Recent Divergence
por: Momigliano, Paolo, et al.
Publicado: (2021)

Minimizing amplification bias during reverse transcription for in vitro selections
por: Lucas, Jordyn K., et al.
Publicado: (2023)

Survival Bias in Mendelian Randomization Studies: A Threat to Causal Inference
por: Smit, Roelof A. J., et al.
Publicado: (2019)

Sequence-based correction of barcode bias in massively parallel reporter assays
por: Lee, Dongwon, et al.
Publicado: (2021)

Avoiding collider bias in Mendelian randomization when performing stratified analyses
por: Coscia, Claudia, et al.
Publicado: (2022)

Determination of complete chromosomal haplotypes by bulk DNA sequencing
por: Tourdot, Richard W., et al.
Publicado: (2021)

Selective reporting bias in randomised controlled trials from two network meta-analyses: comparison of clinical trial registrations and their respective publications
por: Wong, Eric KC, et al.
Publicado: (2019)

Obesity Paradox: Conditioning on Disease Enhances Biases in Estimating the Mortality Risks of Obesity
por: Preston, Samuel H., et al.
Publicado: (2014)

Twisted Signatures of GC-Biased Gene Conversion Embedded in an Evolutionary Stable Karyotype
por: Mugal, Carina F., et al.
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_nceo0lc3s17e6e0hjgqkhtl7le