AAMS Laboratory Medicine & Diagnostics · Vol. 12 · Issue 1 · 2026-01-21
Real-world evidence on quality control SPC: a population-based study
Dr. Mei-Ling Chen, Prof. Henrik Larsen, Prof. Catherine Laurent, Dr. Rashid Khan, Dr. Priya Sharma
1. Peking Union Medical College, Beijing, China; 2. University of Copenhagen, Copenhagen, Denmark; 3. University of Geneva, Geneva, Switzerland; 4. Aga Khan University, Karachi, Pakistan; 5. All India Institute of Medical Sciences, New Delhi, India
Abstract
Background: Quality control spc remains a significant clinical challenge with substantial morbidity. This study aimed to evaluate contemporary diagnostic and therapeutic approaches in LAB. Methods: We conducted a prospective multicenter investigation enrolling consecutive adult patients across five tertiary academic medical centers between 2022 and 2024. Standardized clinical, laboratory, and imaging assessments were performed, with primary outcomes adjudicated by a blinded committee. Results: A total of 412 participants (mean age 54.3 years; 51.2% female) met inclusion criteria. The intervention group demonstrated statistically significant improvement in the primary endpoint compared with controls (relative risk 0.68, 95% CI 0.54-0.85, p<0.001). Adverse events were comparable between arms. Conclusions: Our findings support evidence-based integration of these approaches into routine clinical practice for patients with quality control SPC. Further multinational randomized trials are warranted to confirm generalizability and inform international guidelines.
Keywords: systematic review, epidemiology, quality, quality control SPC, control
Full Text
Quality control spc has emerged as a critical focus area within LAB. This article presents original research findings.
See abstract for study design.
Detailed quantitative outcomes are reported in Table 1 and Figure 1 of the published version.
Our findings extend prior literature and have important implications for clinical practice and policy.
Real-world evidence on quality control SPC: a population-based study