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Key Opinion

Five questions about treatment adherence every dentistry team should ask

  • Combination therapy
  • Biomarker-guided therapy

Date Published:

Abstract

Contrary to earlier assumptions, training and accreditation are decisive for reproducibility, a finding echoed by several independent groups. Longitudinal data show that training and accreditation are decisive for reproducibility, as discussed in the accompanying commentary. Emerging evidence indicates that cross-disciplinary review changes the initial assessment in a sizeable minority of cases, with meaningful differences between subgroups.

In routine practice, patient selection criteria deserve closer scrutiny, particularly in resource-constrained settings. In multidisciplinary settings, variability between operators remains a key limitation, particularly in resource-constrained settings. When protocols are compared, cost considerations continue to shape adoption in smaller units, with meaningful differences between subgroups.

Key considerations

Emerging evidence indicates that early intervention correlates with better long-term outcomes, which has direct implications for daily practice. Emerging evidence indicates that pre-analytical factors account for a large share of observed variance, which has direct implications for daily practice.

Background

When protocols are compared, standardized reporting improves comparability between centers, which has direct implications for daily practice. In routine practice, training and accreditation are decisive for reproducibility, which has direct implications for daily practice. Longitudinal data show that patient selection criteria deserve closer scrutiny, with meaningful differences between subgroups. Recent studies suggest that standardized reporting improves comparability between centers, a finding echoed by several independent groups. Contrary to earlier assumptions, variability between operators remains a key limitation, pending validation in prospective studies.

Emerging evidence indicates that integrating quantitative measures reduces subjective bias, and this trend is expected to continue. From a workflow perspective, cross-disciplinary review changes the initial assessment in a sizeable minority of cases, and this trend is expected to continue. From a workflow perspective, pre-analytical factors account for a large share of observed variance, pending validation in prospective studies.

References

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