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Data related to treatment optimisation for hepatitis C in the era of combination direct-acting antiviral therapy: systematic review and meta-analysis

dataset
posted on 2019-08-23, 10:34 authored by Christopher R. Jones, Barnaby F. Flower, Ella Barber, Bryony Simmons, Graham S. Cooke

This data archive contains the following 7 files relating to treatment optimisation for hepatitis C in the era of combination direct-acting antiviral therapy:

- Supplementary figure 1: Thematic map exploring strategies for treatment optimisation. The duration, combination and/or dose of a treatment regimen is optimised for the individual receiving therapy. Abbreviations: RBV - ribavirin; DAA - direct-acting antiviral; IFN - interferon.

- Supplementary figure 2: Cochrane risk of bias tool for randomised controlled trials summary - review authors' judgements about each risk of bias item for each included study. Prepared using Cochrane Review Manager v5.3 (RevMan, RRID:SCR_003581).

- Supplementary figure 3: Risk of bias graph - review authors' judgements about each risk of bias item presented as percentages across all included studies. Prepared using Cochrane Review Manager v5.3 (RevMan, RRID:SCR_003581).

- Prisma 2009 Checklist: Completed checklist providing page numbers in the associated manuscript for the location of each element of the Prisma 2009 checklist.

- HCV Treatment Optimisation Stata .do file: This is the .do file used to process and analyse the data. The proprietary statistical software 'Stata' was used to create this file.

- HCV Treatment Optimisation Meta-analysis Data Sheet: This is the data extracted from trials included in this meta-analysis. The file was imported into Stata for analysis using the included .do file.

- Supplementary Tables 1-6.docx:

This single Word document contains the following 6 tables:

- Supplementary table 1: Summary of Ovid search strategy - Medline and Embase. Last conducted on 4th July 2019.

- Supplementary table 2: Individual study characteristics. The factors used for stratification or personalisation, treatment strategy adopted, and resultant SVR rates (intention-to-treat and per protocol) are presented for each treatment arm.

- Supplementary table 3: Meta-regression - ‘maintain SVR group’. Clinical and methodological variables were subject to univariable random effects meta-regression. Only those variables with p≤0·1 on univariable analysis were carried forward to the multivariable model. Significance of variables in multivariable model taken at p≤0·05 level. Upper (UCI) and lower (LCI) 95% confidence intervals are presented.

- Supplementary table 4: Meta-regression - improve SVR group. Clinical and methodological variables were subject to univariable random effects meta-regression. There were no significant associations and therefore a multivariable model was not constructed. Upper (UCI) and lower (LCI) 95% confidence intervals are presented.

- Supplementary table 5: Modified Newcastle Ottawa Scale for quality assessment of nonrandomised studies. In this modified scale, a study can be awarded a maximum of one star for each item within the Selection and Outcome categories. The comparability domain was removed to account for the non-comparative nature of included studies (unmodified version can be found at: http://www.ohri.ca/programs/clinical_epidemiology/nosgen.pdf).

- Supplementary table 6: Ongoing randomised controlled trials that are evaluating stratified or personalised treatment strategies.


The associated study is a systematic review and meta-analysis which explores the impact of treatment optimisation strategies, such as stratified medicine or personalised medicine, in our current era of direct-acting antiviral therapy, applied to the treatment of hepatitis C virus.

Funding

This work was supported by a Wellcome Trust [206296] grant awarded to GSC – SouthEast Asian Research Collaboration in Hepatitis (SEARCH). CRJ is supported by the National Institute for Health Research Biomedical Research Centre of Imperial College NHS Trust. EB is supported by Médecins Sans Frontières, United Kingdom. GSC is supported by the National Institute for Health Research Biomedical Research Centre of Imperial College NHS Trust and a National Institute for Health Research Professorship.

History

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