Related Experiment Video
Updated: Mar 10, 2026

Histological Quantification to Determine Lung Fungal Burden in Experimental Aspergillosis
Published on: March 9, 2018
A CONSORT analysis of randomised controlled trials for the treatment of invasive aspergillosis
Brian L Jones1, Malcolm D Richardson2, Patricia M Ingram3
1Department of Clinical Microbiology, Royal Infirmary, Glasgow, United Kingdom, and University of Glasgow, Glasgow, United Kingdom.
Abstract:
There is no assessment of the reporting quality of antifungal randomized, controlled trials (RCT), upon which guidelines for the treatment of invasive aspergillosis (IA) in patients with hematological malignancy are based. Trial reports were identified through Trip, Cochrane, Medline, and Embase database searches. Report quality was assessed using the 25-item CONSORT checklist and a rating scale of 1 (strongly disagree) to 4 (strongly agree). The primary endpoint was quality as assessed by mean group-scores among papers published at the time of the most recent IA treatment guidelines. Seven RCTs were identified for analysis. Overall mean group-score for all seven papers was 2.44 (out of a total of four). There were significant differences between publications regarding overall reporting quality (P < .001) and specifically for the Methods and Results (P = .004 and P = .010, respectively), which best reflect data quality. The Cornely trial report achieved the highest mean group-score overall (3.15 ± 0.93; 95% CI, 2.82, 3.47), as well as for Methods (3.36) and Results (3.40). Mean group scores also showed that it was of significantly higher overall quality than the other six publications (P-value range; .012 to <.001), and of higher quality for Methods than five publications (P-value range; .013 to <.001). Incorporating this CONSORT analysis into the evidence-based grading systems in North American (IDSA), European (ECIL and ESCMID) IA guidelines could alter the value placed on these RCTs, thereby impacting on clinical recommendations.
Insights
Reporting quality of antifungal randomized controlled trials (RCTs) for invasive aspergillosis (IA) is inconsistent. One trial report demonstrated significantly higher quality, impacting clinical recommendations.
Area of Science:
- Medical Mycology
- Clinical Trials Methodology
- Evidence-Based Medicine
Background:
- Guidelines for invasive aspergillosis (IA) treatment rely on antifungal randomized controlled trials (RCTs).
- The reporting quality of these crucial RCTs has not been previously assessed.
- Inconsistent reporting quality may affect the reliability of current treatment guidelines.
Purpose of the Study:
- To evaluate the reporting quality of antifungal RCTs used in invasive aspergillosis (IA) treatment guidelines.
- To identify variations in reporting standards among published trials.
- To assess the potential impact of reporting quality on clinical recommendations.
Main Methods:
- Searched Trip, Cochrane, Medline, and Embase for relevant antifungal RCTs.
- Assessed trial report quality using the 25-item CONSORT checklist and a 4-point rating scale.
- Calculated mean group-scores to quantify overall and specific domain reporting quality.
Main Results:
- Seven antifungal RCTs met the inclusion criteria.
- Overall mean reporting quality score was 2.44 out of 4, indicating moderate quality.
- Significant variations in reporting quality were observed across trials (P < .001), particularly in Methods and Results sections.
- The Cornely trial report exhibited the highest overall quality (3.15) and quality in Methods (3.36) and Results (3.40).
Conclusions:
- The reporting quality of antifungal RCTs for IA varies significantly.
- The superior reporting quality of the Cornely trial suggests it may provide more reliable data.
- Incorporating CONSORT-based quality assessments into IA guideline development could refine clinical recommendations.
More Related Videos
Related Concept Videos
Randomized Experiments
Simple randomization
Simple...
Fungal Phylum Ascomycota
Bioequivalence Experimental Study Designs: Completely Randomized and Randomized Block Designs

