Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial
BackgroundData extraction is the foundation for research synthesis evidence, while data extraction errors frequently occur in the literature. An interesting phenomenon was observed that data extraction error tend to be more common in trials of pharmaceutical interventions compared to non-pharmaceuti...
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2023
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| Online Access: | http://dx.doi.org/10.1016/j.conctc.2023.101189 https://www.sciencedirect.com/science/article/pii/S2451865423001357 http://hdl.handle.net/10576/47491 |
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| _version_ | 1857415087541714944 |
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| author | Yi, Zhu |
| author2 | Ren, Pengwei Doi, Suhail A.R. Furuya-Kanamori, Luis Lin, Lifeng Zhou, Xiaoqin Tao, Fangbiao Xu, Chang |
| author2_role | author author author author author author author |
| author_facet | Yi, Zhu Ren, Pengwei Doi, Suhail A.R. Furuya-Kanamori, Luis Lin, Lifeng Zhou, Xiaoqin Tao, Fangbiao Xu, Chang |
| author_role | author |
| dc.creator.none.fl_str_mv | Yi, Zhu Ren, Pengwei Doi, Suhail A.R. Furuya-Kanamori, Luis Lin, Lifeng Zhou, Xiaoqin Tao, Fangbiao Xu, Chang |
| dc.date.none.fl_str_mv | 2023-09-13T05:28:44Z 2023-10-31 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | http://dx.doi.org/10.1016/j.conctc.2023.101189 24518654 https://www.sciencedirect.com/science/article/pii/S2451865423001357 http://hdl.handle.net/10576/47491 35 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | Elsevier |
| dc.rights.none.fl_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Data extraction error Pharmaceutical intervention Non-pharmaceutical intervention Randomized controlled trial Protocol |
| dc.title.none.fl_str_mv | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| dc.type.none.fl_str_mv | Article info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | BackgroundData extraction is the foundation for research synthesis evidence, while data extraction errors frequently occur in the literature. An interesting phenomenon was observed that data extraction error tend to be more common in trials of pharmaceutical interventions compared to non-pharmaceutical ones. The elucidation of which would have implications for guidelines, practice, and policy. Methods and analysesWe propose a crossover, multicenter, investigator-blinded trial to elucidate the potential variants on the data extraction error rates. Eligible 90 participants would be 2nd year or above post-graduate students (e.g., masters, doctoral program). Participants will be randomized to one of the two groups to complete pre-defined data extraction tasks: 1) group A will contain 10 randomized controlled trials (RCTs) of pharmaceutical interventions; 2) group B will contain 10 RCTs of non-pharmaceutical interventions. Participants who finish the data extraction would then be assigned to the alternative group for another round of data extraction after a 30 min washout period. Finally, those participants assigned to A or B group will be further 1:1 randomly matched based on a random-sequenced number for the double-checking process on the extracted data. The primary outcome will be the data extract error rates of the pharmaceutical intervention group and non-pharmaceutical group, before the double-checking process, in terms of the cell level, study level, and participant level. The secondary outcome will be the data error rates of the pharmaceutical intervention group and non-pharmaceutical group after the double-checking process, again, in terms of the cell level, study level, and participant level. A generalized linear mixed effects model (based on the above three levels) will be used to estimate the potential differences in the error rates, with a log link function for binomial data. Subgroup analyses will account for the experience of individuals on systematic reviews and the time used for the data extraction. DiscussionThis trial will provide useful evidence for further systematic review of data extraction practices, improved data extraction strategies, and better guidelines. Trial registrationChinese Clinical Trial Register Center (Identifier: ChiCTR2200062206). |
| eu_rights_str_mv | openAccess |
| format | article |
| id | qu_de8473859e604d50246a8343921f3aa6 |
| identifier_str_mv | 24518654 35 |
| language_invalid_str_mv | en |
| network_acronym_str | qu |
| network_name_str | Qatar University repository |
| oai_identifier_str | oai:qspace.qu.edu.qa:10576/47491 |
| publishDate | 2023 |
| publisher.none.fl_str_mv | Elsevier |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| spelling | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trialYi, ZhuRen, PengweiDoi, Suhail A.R.Furuya-Kanamori, LuisLin, LifengZhou, XiaoqinTao, FangbiaoXu, ChangData extraction errorPharmaceutical interventionNon-pharmaceutical interventionRandomized controlled trialProtocolBackgroundData extraction is the foundation for research synthesis evidence, while data extraction errors frequently occur in the literature. An interesting phenomenon was observed that data extraction error tend to be more common in trials of pharmaceutical interventions compared to non-pharmaceutical ones. The elucidation of which would have implications for guidelines, practice, and policy. Methods and analysesWe propose a crossover, multicenter, investigator-blinded trial to elucidate the potential variants on the data extraction error rates. Eligible 90 participants would be 2nd year or above post-graduate students (e.g., masters, doctoral program). Participants will be randomized to one of the two groups to complete pre-defined data extraction tasks: 1) group A will contain 10 randomized controlled trials (RCTs) of pharmaceutical interventions; 2) group B will contain 10 RCTs of non-pharmaceutical interventions. Participants who finish the data extraction would then be assigned to the alternative group for another round of data extraction after a 30 min washout period. Finally, those participants assigned to A or B group will be further 1:1 randomly matched based on a random-sequenced number for the double-checking process on the extracted data. The primary outcome will be the data extract error rates of the pharmaceutical intervention group and non-pharmaceutical group, before the double-checking process, in terms of the cell level, study level, and participant level. The secondary outcome will be the data error rates of the pharmaceutical intervention group and non-pharmaceutical group after the double-checking process, again, in terms of the cell level, study level, and participant level. A generalized linear mixed effects model (based on the above three levels) will be used to estimate the potential differences in the error rates, with a log link function for binomial data. Subgroup analyses will account for the experience of individuals on systematic reviews and the time used for the data extraction. DiscussionThis trial will provide useful evidence for further systematic review of data extraction practices, improved data extraction strategies, and better guidelines. Trial registrationChinese Clinical Trial Register Center (Identifier: ChiCTR2200062206).This work was supported by the National Natural Science Foundation of China (72204003) and program grant #NPRP-BSRA01-0406-210030 from the Qatar National Research Fund (a member of Qatar Foundation).Elsevier2023-09-13T05:28:44Z2023-10-31Articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.1016/j.conctc.2023.10118924518654https://www.sciencedirect.com/science/article/pii/S2451865423001357http://hdl.handle.net/10576/4749135enhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:qspace.qu.edu.qa:10576/474912024-07-23T10:58:25Z |
| spellingShingle | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial Yi, Zhu Data extraction error Pharmaceutical intervention Non-pharmaceutical intervention Randomized controlled trial Protocol |
| status_str | publishedVersion |
| title | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| title_full | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| title_fullStr | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| title_full_unstemmed | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| title_short | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| title_sort | Data extraction error in pharmaceutical versus non-pharmaceutical interventions for evidence synthesis: Study protocol for a crossover trial |
| topic | Data extraction error Pharmaceutical intervention Non-pharmaceutical intervention Randomized controlled trial Protocol |
| url | http://dx.doi.org/10.1016/j.conctc.2023.101189 https://www.sciencedirect.com/science/article/pii/S2451865423001357 http://hdl.handle.net/10576/47491 |