Evidence map›Paper›PMID 29736483›Full record

ArticleContemporary clinical trials communications2016

Pooled solifenacin overactive bladder trial data: Creation, validation and analysis of an integrated database.

Christopher R Chapple, Linda Cardozo, Robert Snijder, Emad Siddiqui, Sender Herschorn

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Article in Contemporary clinical trials communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Christopher R ChappleDepartment of Urology, Royal Hallamshire Hospital, Glossop Rd, Sheffield, South Yorkshire S10 2JF, UK.
Linda CardozoKing's College Hospital, Denmark Hill, London, SE5 9RS, UK.
Robert SnijderAstellas Pharma Europe BV, Sylviusweg 62, 2333 BE, Leiden, The Netherlands.
Emad SiddiquiAstellas Pharma Europe Ltd, 2000 Hillswood Dr, Chertsey, Surrey KT16 0PS, Canada.
Sender HerschornDepartment of Surgery/Urology, University of Toronto, 27 King's College Cir, Toronto, Ontario ON M5S, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient-level data are available for 11 randomized, controlled, Phase III/Phase IV solifenacin clinical trials.

methodsMeta-analyses were conducted to interrogate the data, to broaden knowledge about solifenacin and overactive bladder (OAB) in general. Before integrating data, datasets from individual studies were mapped to a single format using methodology developed by the Clinical Data Interchange Standards Consortium (CDISC). Initially, the data structure was harmonized, to ensure identical categorization, using the CDISC Study Data Tabulation Model (SDTM). To allow for patient level meta-analysis, data were integrated and mapped to analysis datasets. Mapping included adding derived and categorical variables and followed standards described as the Analysis Data Model (ADaM). Mapping to both SDTM and ADaM was performed twice by two independent programming teams, results compared, and inconsistencies corrected in the final output. ADaM analysis sets included assignments of patients to the Safety Analysis Set and the Full Analysis Set.

resultsThere were three analysis groupings: Analysis group 1 (placebo-controlled, monotherapy, fixed-dose studies, n = 3011); Analysis group 2 (placebo-controlled, monotherapy, pooled, fixed- and flexible-dose, n = 5379); Analysis group 3 (all solifenacin monotherapy-treated patients, n = 6539). Treatment groups were: solifenacin 5 mg fixed dose, solifenacin 5/10 mg flexible dose, solifenacin 10 mg fixed dose and overall solifenacin. Patient were similar enough for data pooling to be acceptable.

conclusionsCreating ADaM datasets provided significant information about individual studies and the derivation decisions made in each study; validated ADaM datasets now exist for medical history, efficacy and AEs. Results from these meta-analyses were similar over time.

Indexed as

ADaM, Analysis Data ModelAE, adverse eventBMI, body mass indexCDISC, Clinical Data Interchange Standards ConsortiumCMH, Cochran-Mantel-HaenszelIDB, integrated databaseIntegrated databaseLOCF, last observation carried forwardMedDRA, Medical Dictionary for Regulatory ActivitiesOAB, overactive bladderPPIUS, Patient Perception of Urgency ScaleSDTM, Study Data Tabulation ModelSolifenacinTEAE, treatment emergent adverse eventValidation

Identifiers

PMID29736483
PMCPMC5935888

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