Psychometric Properties of the Critical Appraisal Tool for Anatomical Meta‐Analysis

The hallmark of evidence-based anatomy (EBA) is the anatomical meta-analysis (AMA). The Critical Appraisal Tool for Anatomical Meta-Analysis (CATAM) was recently published to enable users to appraise AMAs quickly and effectively. The tool is valuable for students and clinicians who need to judge the quality of AMAs, which informs clinical decision making and results in better patient care. Subjective measures of the tool's face and content validity have been established, but establishing its reliability provides a more objective measure of the instrument's dependability. This study investigated the interrater reliability (IRR) of the CATAM between novice and expert raters. Three graduate students and three professors (two anatomists and one pharmacist) read the original CATAM paper, and then had a post hoc meeting to discuss scoring with the tool. Three recent AMAs (published between 2017 and 2022) were randomly chosen from PubMed, and all six raters scored the papers blindly. The intraclass correlation coefficient (ICC) statistic was used to calculate the interrater reliability (IRR) between all scores, and then the ICCs between novice and expert scores were compared. Cronbach's alpha (internal consistency) of the CATAM was also calculated (SPSS 25, Armonk, NY). ICC for AMA-1 was 0.999 (95% CI, 0.997-0.999), p = 0.000, and alpha was 0.999. ICC for AMA-2 was 0.994 (95% CI, 0.988-0.998), p = 0.000, and alpha was 0.994. ICC for AMA-3 was 0.998 (95% CI, 0.995-0.999), p = 0.000, and alpha was 0.998. ANOVA showed no significant differences (p > 0.05) in mean ICCs between raters. The CATAM is a robust tool with excellent IRR (ICC > 0.990) and internal consistency (alpha > 0.990). No significant difference in ICC scores between novices and experts suggests the tool does not require prior expert knowledge to be effective. Now that the reliability of the CATAM is established, it can be more widely adopted by students and physicians worldwide to evaluate the quality of AMAs. The CATAM offers widespread applicability, and can be adopted in medical education, journal clubs, and clinical seminars to critically evaluate AMAs.

Authors

Institutions

Publication Details

Journal
Clinical Anatomy
Published
2025-01-22
DOI
https://doi.org/10.1002/ca.24263
Citations
3
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric Properties of the Critical Appraisal Tool for Anatomical Meta‐Analysis

Anthony V. D’Antoni, Lisa Strobel, Kathleen Bubb, Richard Shane Tubbs et al.
3 citations
Clinical Anatomy
Meta-analysis and systematic reviews
4.20
article

Psychometric Properties of the Critical Appraisal Tool for Anatomical Meta‐Analysis

Anthony V. D’Antoni, Lisa Strobel, Kathleen Bubb, Richard Shane Tubbs, N. Kamel, Morgan G. McCartan
article en
3 citations

Abstract

The hallmark of evidence-based anatomy (EBA) is the anatomical meta-analysis (AMA). The Critical Appraisal Tool for Anatomical Meta-Analysis (CATAM) was recently published to enable users to appraise AMAs quickly and effectively. The tool is valuable for students and clinicians who need to judge the quality of AMAs, which informs clinical decision making and results in better patient care. Subjective measures of the tool's face and content validity have been established, but establishing its reliability provides a more objective measure of the instrument's dependability. This study investigated the interrater reliability (IRR) of the CATAM between novice and expert raters. Three graduate students and three professors (two anatomists and one pharmacist) read the original CATAM paper, and then had a post hoc meeting to discuss scoring with the tool. Three recent AMAs (published between 2017 and 2022) were randomly chosen from PubMed, and all six raters scored the papers blindly. The intraclass correlation coefficient (ICC) statistic was used to calculate the interrater reliability (IRR) between all scores, and then the ICCs between novice and expert scores were compared. Cronbach's alpha (internal consistency) of the CATAM was also calculated (SPSS 25, Armonk, NY). ICC for AMA-1 was 0.999 (95% CI, 0.997-0.999), p = 0.000, and alpha was 0.999. ICC for AMA-2 was 0.994 (95% CI, 0.988-0.998), p = 0.000, and alpha was 0.994. ICC for AMA-3 was 0.998 (95% CI, 0.995-0.999), p = 0.000, and alpha was 0.998. ANOVA showed no significant differences (p > 0.05) in mean ICCs between raters. The CATAM is a robust tool with excellent IRR (ICC > 0.990) and internal consistency (alpha > 0.990). No significant difference in ICC scores between novices and experts suggests the tool does not require prior expert knowledge to be effective. Now that the reliability of the CATAM is established, it can be more widely adopted by students and physicians worldwide to evaluate the quality of AMAs. The CATAM offers widespread applicability, and can be adopted in medical education, journal clubs, and clinical seminars to critically evaluate AMAs.

Clinical AnatomyVol. 38(3)
Tulane University (US), Cornell University (US), Weill Cornell Medicine (US), College of Mount Saint Vincent (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Meta-analysis and systematic reviews
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.