| metaData {clinDR} | R Documentation |
Dose response data from several published meta-analyses
Description
Dose response data from over 200 compounds included in published meta-analyses. The data are aggregated in a single data frame in a common format.
Usage
data('metaData')
Format
The data frame has one row for each compound, protocol within compound, and dose group within protocol. Compound and protocol level descriptors are repeated on each row of the data frame.
drugidA numerical ID identifying each drug
taidA drug can be studied in more than one therapeutic area. The
taidID identifies each TA/drug combination.protidNumerical (1,2,3,...) ID for protocols specific to each TAID.
gnameGeneric drug name
bnameBranded(USA) drug name
drugtypeDrug classified as SMALL MOLECULE, BIOLOGIC, OTHER
routeRoute of administration, e.g., oral, subcutaneous,...
routeShortAbbreviated format for
routeoralFormFormulation (e.g., TABLET, POWDER,...) for drugs with oral administration.
fdaapprovedNA if status was not yet determined
metasourceMeta-analysis contributing compounds. BIO14: biological compounds through 2014; FDA914: FDA approved small molecules and 'other' 2009-2014; FDA1417: FDA approved compounds 2014-2017; Pfizer P2 compounds 1998-2009; PFIZERUPDATE18: Pfizer compounds 2009-2018
protnoSponsor assigned protocol name/number
nctnoClintrial.gov protocol ID
protyearWhen available, year of first patient/first visit. In some cases, date of journal publication
designPARELLEL, CROSSOVER,...
actcompIndicator if an active comparator was included in the protocol
etypeetype=1for the designated primary endpoint. For completeness, where there was ambiguity in the selection of the endpoint, additional endpoint data was included on separate rows and indicated by etype=2,3,... Most analyses subset onetype=1poptypeFor a compound and TA, there can be distinctly different populations with anticipated response differences, e.g., treatment-naive and pre-treated patients. The population with the most studied doses has
poptype=1. For completeness, additional populations are included and identified bypoptype=2,3,.... Most analyses subset onpoptype=1primsourceIRO/PRO investigator/patient reported outcome; L lab, V vitals
primtypePrimary endpoint is BINARY, CONTINOUS, TIMETOEVEN
primtimetime units to primary endpoint from randomization
timeunitDAY, HR, MIN, MONTH, WK for primary endpoint
indicationDisease description
broadtaBroad TA classification of the indication
endpointLong,endpointShortEndpoint name and an abbreviated form using for example, cfb and pcfb for change from baseline and percent change from baseline
doseTotal daily dose for small molecules, total weekly dose for biologics in mg or mg/kg for weight-based dosing.
tloadAmount of any loading dose
nloadNumber of visits with a loading dose
regimenDosing frequency
primregimenprimregimen=1for most doses/regimens, butprimregimen=2for a few regimens that clearly differed from the most common regimen for the same total dose. Most analyses subset onprimregimen=1rsltThe sample dose group mean (continuous) or proportion (binary) of the primary endpoint. Analyses of the time-to-event endpoints was compound specific (either a mean or a proportion was estimated).
seStandard error of
rsltsdDose group sample standard deviation for continuous data
lcl, ucl, alphaalpha-level interval (lcl,ucl) when confidence intervals were extracted from the original data source because se were not reported
sampsizeSample size reported for
rslt. The handling of missing data by the protocol sponsors varied, but 'completers' was most common.ittsizeThe number randomized. The counts are usually available, except for internal data before 2009, where it was not collected.
pmissPercent of missing data.
Details
Compound sampling plans and other details are given in the publications:
Thomas, N., Sweeney, K., and Somayaji, V. (2014). Meta-analysis of clinical dose response in a large drug development portfolio, Statistics in Biopharmaceutical Research, Vol. 6, No.4, 302-317. <doi:10.1080/19466315.2014.924876>
Thomas, N., and Roy, D. (2016). Analysis of clinical dose-response in small-molecule drug development: 2009-2014. Statistics in Biopharmaceutical Research, Vol. 6, No.4, 302-317 <doi:10.1080/19466315.2016.1256229>
Wu, J., Banerjee, A., Jin, B. Menon, M. S., Martin, S. and Heatherington, A. (2017). Clinical dose response for a broad set of biological products: A model-based meta-analysis. Statistical Methods in Medical Research. <doi:10.1177/0962280216684528>
Examples
data('metaData')
names(metaData)