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The government of Spain increased spending for scientific research by about 15% per year from 1983 to 1991, bringing it from 0.48% of gross national product to 0.9%. But in 1992 the science budget increased only at the rate of inflation, and the same is expected for 1993. This leaves Spain's research spending among the lowest of the European countries. Spanish industry and universities are not making up for the decrease in public funding of research.

Objective: To estimate relative efficiencies of the 7 rheumatoid arthritis (RA) Core Data Set measures to distinguish adalimumab from control treatments in 4 clinical trials., Methods: Four adalimumab clinical trials were analyzed for arithmetic and percentage changes for each Core Data Set measure from baseline to endpoint: 3 assessor/physician measures -- swollen joints, tender joints, and global estimate; 1 laboratory test -- C-reactive protein; and 3 patient measures -- physical function, pain, and global estimate. Relative efficiencies of each measure to distinguish adalimumab from control group responses were assessed, with tender joint count as the referent measure., Results: Relative efficiencies were in a similar range for physician/assessor, patient, and laboratory measures, with some variation between trials. Among physician/assessor measures, relative efficiencies for global estimates were greater than for swollen and tender joint counts in 8/8 comparisons. Among patient measures, relative efficiencies for global estimates were greater than for physical function and pain scores in at least 6/8 comparisons. Among all measures, relative efficiencies for patient global estimates were greater than for swollen joint counts in 5/8 comparisons, and for tender joint counts in 8/8 comparisons., Conclusion: Patient and physician/assessor measures distinguished adalimumab from control treatment groups in similar ranges. Among all measures, physician/assessor global estimate was most efficient, and tender joint count least efficient, in all 4 trials. This information suggests that while joint counts are the most specific measure to assess RA, their sensitivity to detect treatment effects in patients with RA is generally no greater, and usually less, than other measures.

Objective: To analyze 2 indices composed of the 3 patient reported outcomes (PRO) in the American College of Rheumatology (ACR) Core Data Set--physical function, pain, and global estimate--without joint count or laboratory data, for capacities to distinguish active from control treatments in 4 pivotal clinical trials., Methods: Data from 4 clinical trials involving adalimumab, in combination with methotrexate or other disease-modifying antirheumatic drugs (DMARD) or as monotherapy, versus control treatment were made available to analyze properties of various indices. A categorical PRO-Index M was defined as "majority" improvement in 2 of the 3 PRO measures at 20%, 50%, and 70% levels; results were evaluated to analyze agreement with ACR20, ACR50, ACR70 responses and an "all Core Data Set measures" index based on 4 of the 7 measures having such levels of improvement. A continuous PRO-Index C was defined as the median or 2nd highest of 3 percentage differences from baseline to endpoint; results were evaluated to analyze agreement with a continuous ACR-N, "all Core Data Set measures" index, and Disease Activity Score 28 (DAS28)., Results: All indices distinguished active versus control treatment at similar levels, including PRO-Index M versus ACR20, ACR50, and ACR70 responses, and PRO-Index C versus DAS28., Conclusion: PRO indices based only on patient questionnaire data, without joint counts or laboratory tests, may be useful quantitative measures of therapeutic efficacy for use in standard rheumatology clinical care.