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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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. |
format | Online Article Text |
id | pubmed-6201503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
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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