Key data on first-line treatment selection for rheumatology teams

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From a workflow perspective, pre-analytical factors account for a large share of observed variance, although confirmatory data are still limited. In multidisciplinary settings, integrating quantitative measures reduces subjective bias, although confirmatory data are still limited. Longitudinal data show that cost considerations continue to shape adoption in smaller units, and this trend is expected to continue. In multidisciplinary settings, variability between operators remains a key limitation, although confirmatory data are still limited. Contrary to earlier assumptions, standardized reporting improves comparability between centers, pending validation in prospective studies.

From a workflow perspective, digital tooling shortens time-to-decision considerably, as discussed in the accompanying commentary. Longitudinal data show that variability between operators remains a key limitation, a finding echoed by several independent groups.

Contrary to earlier assumptions, patient selection criteria deserve closer scrutiny, which has direct implications for daily practice. In multidisciplinary settings, standardized reporting improves comparability between centers, and this trend is expected to continue.

According to consensus recommendations, cost considerations continue to shape adoption in smaller units, although confirmatory data are still limited. According to consensus recommendations, threshold harmonization is still an open question, pending validation in prospective studies.