Claims

The CBL exam-score advantage is robust to subgroup and leave-one-out sensitivity analyses but shows potential publication bias

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims

Reading the evidence codes

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

q2 i? Sensitivity analyses by country and leave-one-out iterations leave the CBL exam-score advantage statistically significant, while the funnel plot suggests potential publication bias. → Chen Min 2025

Evidence

Chen Min 2025

Chen Min, Li Xinyao, Liu Qingming, Zhou Jing, Fan Xiaofang, Liu Yantao, Lin Yunzhu, Ni Jiaqi. (2025). The effectiveness of case-based learning compared with lecture-based learning in pharmacy education: a systematic review and meta-analysis. BMC Medical Education. https://doi.org/10.1186/s12909-025-07927-9

q2 · i? · quant-synthesis · r2

Sensitivity analysis of the exam-performance outcome across the included RCTs. Subgroup analysis by country remained consistently significant, indicating region was not a primary source of heterogeneity; leave-one-out SMDs ranged 0.52–0.62, all P < 0.05.

"Between the studies in China, the pooled effect size remained statistically significant across all iterations when leave-one-out approach (SMD = 0.52–0.62, all P < 0.05). Thus, the overall effect remained stable and statistically significant"

Discussion

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