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A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor

BACKGROUND: To provide empirical evidence about prevalence, reporting and handling of missing outcome data in systematic reviews with network meta-analysis and acknowledgement of their impact on the conclusions. METHODS: We conducted a systematic survey including all published systematic reviews of...

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Autores principales: Spineli, Loukia M., Yepes-Nuñez, Juan J., Schünemann, Holger J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201503/
https://www.ncbi.nlm.nih.gov/pubmed/30355280
http://dx.doi.org/10.1186/s12874-018-0576-9
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author Spineli, Loukia M.
Yepes-Nuñez, Juan J.
Schünemann, Holger J.
author_facet Spineli, Loukia M.
Yepes-Nuñez, Juan J.
Schünemann, Holger J.
author_sort Spineli, Loukia M.
collection PubMed
description BACKGROUND: To provide empirical evidence about prevalence, reporting and handling of missing outcome data in systematic reviews with network meta-analysis and acknowledgement of their impact on the conclusions. METHODS: We conducted a systematic survey including all published systematic reviews of randomized controlled trials comparing at least three interventions from January 1, 2009 until March 31, 2017. RESULTS: We retrieved 387 systematic reviews with network meta-analysis. Description of missing outcome data was available in 63 reviews. Intention-to-treat analysis was the most prevalent method (71%), followed by missing outcome data investigated as secondary outcome (e.g., acceptability) (40%). Bias due to missing outcome data was evaluated in half the reviews with explicit judgments in 18 (10%) reviews. Only 88 reviews interpreted their results acknowledging the implications of missing outcome data and mostly using the network meta-analysis results on missing outcome data as secondary outcome. We were unable to judge the actual strategy applied to deal with missing outcome data in 65% of the reviews due to insufficient information. Six percent of network meta-analyses were re-analyzed in sensitivity analysis considering missing outcome data, while 4% explicitly justified the strategy for dealing with missing outcome data. CONCLUSIONS: The description and handling of missing outcome data as well as the acknowledgment of their implications for the conclusions from network meta-analysis are deemed underreported. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-018-0576-9) contains supplementary material, which is available to authorized users.
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spelling pubmed-62015032018-10-31 A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor Spineli, Loukia M. Yepes-Nuñez, Juan J. Schünemann, Holger J. BMC Med Res Methodol Research Article BACKGROUND: To provide empirical evidence about prevalence, reporting and handling of missing outcome data in systematic reviews with network meta-analysis and acknowledgement of their impact on the conclusions. METHODS: We conducted a systematic survey including all published systematic reviews of randomized controlled trials comparing at least three interventions from January 1, 2009 until March 31, 2017. RESULTS: We retrieved 387 systematic reviews with network meta-analysis. Description of missing outcome data was available in 63 reviews. Intention-to-treat analysis was the most prevalent method (71%), followed by missing outcome data investigated as secondary outcome (e.g., acceptability) (40%). Bias due to missing outcome data was evaluated in half the reviews with explicit judgments in 18 (10%) reviews. Only 88 reviews interpreted their results acknowledging the implications of missing outcome data and mostly using the network meta-analysis results on missing outcome data as secondary outcome. We were unable to judge the actual strategy applied to deal with missing outcome data in 65% of the reviews due to insufficient information. Six percent of network meta-analyses were re-analyzed in sensitivity analysis considering missing outcome data, while 4% explicitly justified the strategy for dealing with missing outcome data. CONCLUSIONS: The description and handling of missing outcome data as well as the acknowledgment of their implications for the conclusions from network meta-analysis are deemed underreported. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12874-018-0576-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-10-24 /pmc/articles/PMC6201503/ /pubmed/30355280 http://dx.doi.org/10.1186/s12874-018-0576-9 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Spineli, Loukia M.
Yepes-Nuñez, Juan J.
Schünemann, Holger J.
A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
title A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
title_full A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
title_fullStr A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
title_full_unstemmed A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
title_short A systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
title_sort systematic survey shows that reporting and handling of missing outcome data in networks of interventions is poor
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6201503/
https://www.ncbi.nlm.nih.gov/pubmed/30355280
http://dx.doi.org/10.1186/s12874-018-0576-9
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