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Updated: May 3, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
Addressing multimorbidity in evidence integration and synthesis
Thomas A Trikalinos1, Jodi B Segal, Cynthia M Boyd
1Center for Evidence-based Medicine, and Department of Health Services, Policy & Practice, School of Public Health, Brown University, Box GS-121-8, Providence, RI, 02912, USA, thomas_trikalinos@brown.edu.
Abstract:
To minimize bias, clinical practice guidelines (CPG) for managing patients with multiple conditions should be informed by well-planned syntheses of the totality of the relevant evidence by means of systematic reviews and meta-analyses. However, deficiencies along the entire evidentiary pathway hinder the development of evidence-based CPGs. Published reports of trials and observational studies often do not provide usable data on treatment effect heterogeneity, perhaps because their design, analysis and presentation is seldom geared towards informing on how multimorbidity modifies the effect of treatments. Systematic reviews and meta-analyses inherit all the limitations of their building blocks and introduce additional of their own, including selection biases at the level of the included studies, ecological biases, and analytical challenges. To generate recommendations to help negotiate some of the challenges in synthesizing the primary literature, so that the results of the evidence synthesis is applicable to the care of those with multiple conditions. Informal group process. We have built upon established general guidance, and provide additional recommendations specific to systematic reviews that could improve the CPGs for multimorbid patients. We suggest that following the additional recommendations is good practice, but acknowledge that not all proposed recommendations are of equal importance, validity and feasibility, and that further work is needed to test and refine the recommendations.
Insights
Developing evidence-based clinical practice guidelines (CPG) for patients with multiple conditions requires robust systematic reviews. This study offers recommendations to improve evidence synthesis for multimorbidity, enhancing CPG applicability.
Area of Science:
- Medical Research Methodology
- Evidence Synthesis
- Clinical Practice Guidelines
Background:
- Clinical practice guidelines (CPGs) for patients with multiple conditions often lack sufficient evidence synthesis.
- Deficiencies in primary studies and systematic reviews hinder the development of evidence-based CPGs for multimorbidity.
- Treatment effect heterogeneity in relation to multimorbidity is often not adequately reported in published studies.
Purpose of the Study:
- To provide recommendations for improving systematic reviews and meta-analyses.
- To enhance the applicability of evidence syntheses to the care of patients with multiple conditions.
- To inform the development of better clinical practice guidelines for multimorbidity.
Main Methods:
- Informal group process to build upon established guidance.
- Development of specific recommendations for systematic reviews.
- Focus on addressing challenges in synthesizing primary literature for multimorbidity.
Main Results:
- Proposed additional recommendations for systematic reviews to improve CPGs for multimorbid patients.
- Acknowledged that recommendations vary in importance, validity, and feasibility.
- Identified the need for further work to test and refine recommendations.
Conclusions:
- Implementing the suggested recommendations is considered good practice for evidence synthesis in multimorbidity.
- Further research is necessary to validate and optimize the proposed recommendations.
- Improved evidence synthesis is crucial for effective clinical practice guidelines in managing multiple conditions.
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