Wide Confidence Intervals
Research gap analysis derived from 4 medicine papers in our local library.
The gap
The studies indicate wide confidence intervals in their estimates due to small sample sizes and heterogeneity, suggesting a need for larger, more homogeneous datasets.
Consensus across the literature
Papers collectively establish the issue of wide confidence intervals but leave open the specific solutions or validation methods needed.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 4 representative gaps
- Effects of noninvasive brain stimulation in the treatment of poststroke depression: an overview of systematic reviews (2026) · doi
The GRADE system indicated that the quality of evidence was moderate, low, or very low, mainly due to flaws in the original RCTs regarding randomization, allocation concealment, and blinding, along with high heterogeneity, small sample sizes, and wide confidence intervals.
Keywords: grade system quality evidence moderate mainly flaws original rcts regarding randomization allocation concealment blinding along - Association between corticosteroid dosage and symptoms of depression and anxiety in patients with systemic lupus erythematosus (2025) · doi
Some results showed wide confidence intervals (CIs), which could indicate instability in the model, especially for the anxiety variable, suggesting the need for further refinement of the model to improve accuracy and stability of estimates.
Keywords: model wide confidence intervals indicate instability especially anxiety variable suggesting need further refinement improve accuracy - Interaction between high-sensitivity C-reactive protein and mean platelet volume for 1-year major adverse cardiovascular events in stable coronary artery disease (2026) · doi
Interaction estimates may be unstable with wide confidence intervals in the setting of few events; therefore, findings regarding interaction should be interpreted cautiously and warrant external validation.
Keywords: interaction estimates unstable wide confidence intervals setting events regarding interpreted cautiously warrant external validation - Machine Learning Prediction of Prevertebral Soft Tissue Swelling after Single-Level Anterior Cervical Surgery : A Proof-of-Concept Study (2026) · doi
Several metrics are limited by wide confidence intervals, possibly due to limited sample size.
Keywords: limited several metrics wide confidence intervals possibly sample size
Working on this gap? Publish with us.
Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.
Related gaps in medicine
- Diagnostic and Prognostic MarkersFurther validation is needed to establish standardized criteria for MRI and sonoelastography in differentiating phyllodes tumors from fibroa…
- Research Method ValidationFurther validation of AI systems and biomarkers is needed across diverse clinical settings and patient populations to ensure safe and effect…
- Validation Across ConditionsFurther studies are needed to confirm the reproducibility and effectiveness of proposed methods under different conditions, including full-s…
- Generalizability of FindingsMost studies lack external validation in diverse populations or settings, questioning the generalizability of their findings.