Small sample sizes in each treatment group (EFG n=5, PE
Research gap analysis derived from 3 medicine papers in our local library.
The gap
Small sample sizes in each treatment group (EFG n=5, PE n=4, IVIg n=8), limiting statistical power and generalizability of findings across treatment modalities.
Evidence profile
Sourced from the limitations of the source papers, classified as data gap, spanning 3 journals. Those papers have been cited 1 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Rapid neurological recovery in Guillain-Barré syndrome treated with efgartigimod (2026) · Scientific Reports · doi
Small sample sizes in each treatment group (EFG n=5, PE n=4, IVIg n=8), limiting statistical power and generalizability of findings across treatment modalities.
data gaplimitationsevidence 5/5Keywords: treatment small sample sizes group ivig limiting statistical power generalizability across modalities - Suppression of pathological oscillations with transcranial focused ultrasound in Parkinson’s disease (2026) · Nature Communications · cited 1× · doi
Owing to the small sample size, only a limited number of comparisons were made a priori, restricting the statistical power and generalizability of the findings.
data gaplimitationsevidence 4/5Keywords: owing small sample size limited number comparisons made priori restricting statistical power generalizability - Non-invasive prenatal diagnosis of beta-thalassemia disease using digital PCR (2026) · Frontiers in Medicine · doi
Small sample size could limit the generalizability of the findings, particularly when considering diverse populations or rare mutations. Larger cohort studies involving participants with wider genetic backgrounds and mutation types would provide more robust and externally valid data.
data gaplimitationsevidence 4/5Keywords: small sample size limit generalizability particularly considering diverse populations rare mutations larger cohort involving participants
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