Claims

The pooled PBL advantage on DREEM was robust in sensitivity analyses excluding the largest, heaviest, and smallest studies

Claim · All claims
Evidence · 1 study · quant-synthesis r2 · q3
Currency · newest study 2016 · checked against its sources 2026-11-01 (automated, 1 of 1 entry) · 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.

q3 i? Excluding the study with the largest weight, the largest sample, or the smallest sample each left a pooled effect still favoring PBL (e.g., WMD 10.01, 95% CI 6.44–13.58, p < 0.00001). → Qin Yongjie 2016

Evidence

Qin Yongjie 2016

Qin Yongjie, Wang Yungui, Floden Robert E. (2016). The Effect of Problem-Based Learning on Improvement of the Medical Educational Environment: A Systematic Review and Meta-Analysis. Medical Principles and Practice. https://doi.org/10.1159/000449036

q3 · i? · quant-synthesis · r2

Sensitivity analysis addressing the moderate heterogeneity: the pooled estimate was recalculated after excluding the heaviest-weight study, the largest-sample study (WMD 9.62), and the smallest-sample study (WMD 9.14), each remaining significant for PBL. The authors conclude the reanalyses "did not yield results different from those in the the primary analysis".

"After excluding the study in which the weight was largest [26], the pooled effect size was in favor of the PBL group (WMD 10.01, 95% CI 6.44–13.58, p < 0.00001)"

Discussion

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