Including larger sample sizes would enhance
Research gap analysis derived from 3 medicine papers in our local library.
The gap
Including larger sample sizes would enhance the statistical power and generalizability of findings. - A larger cohort would allow for more accurate subgroup analysis and strengthen the association between biomarker levels and CAD severity.
Evidence profile
Stated in the discussion and cells future research and inline gaps sections of the source papers, classified as general, spanning 3 journals.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- Benralizumab is effective in severe asthma with CRS, regardless of demographic and clinical basal outcomes (2026) · Allergologia et Immunopathologia · doi
The limitations of this study include the retrospective design and the small sample size, which likely restricted the statistical significance of some correlations between clinical characteristics or biomarkers. Nonetheless, our analysis is valuable as it highlights trends near statistical significance, which could be further investigated in larger sample sizes.
generalstated in discussionevidence 5/5Keywords: sample statistical significance limitations include retrospective design small size likely restricted correlations clinical characteristics biomarkers - The Value of Cardiac Troponin I and Midkine in predicting coronary artery obstruction severity in Chronic Coronary Syndromes (CCS) (2026) · INDONESIAN JOURNAL OF CLINICAL PATHOLOGY AND MEDICAL LABORATORY · doi
Including larger sample sizes would enhance the statistical power and generalizability of findings. - A larger cohort would allow for more accurate subgroup analysis and strengthen the association between biomarker levels and CAD severity. - Further studies are needed to validate the results and explore the potential of hs-cTnI and MK as biomarkers for CAD.
generalstated in cells future researchevidence 5/5Keywords: including larger sample sizes enhance statistical power generalizability - Frailty, social disconnection, metabolomic signatures, and incident peripheral artery disease in type 2 diabetes: a prospective cohort study (2026) · Frontiers in Nutrition · doi
5 Strengths and limitations This study has several strengths, including its prospective design, large sample of individuals with T2DM, long follow-up, and linkage to hospital inpatient and death registry records for PAD ascertainment. Because the exposures and metabolomic biomarkers were assessed at or near baseline, their temporal ordering could not be determined.
generalstated in inline gapsevidence 3/5Keywords: strengths limitations several including prospective design large sample individuals long follow linkage hospital inpatient death
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