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ANALYSIS REPORTKurgusal bir makaledir12.03.2026

Effects of a Brief Digital Intervention on Self-Reported Stress in University Students: A Pilot RCT

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Publication Probability

72/ 100
High Probability
Confidence: MediumRAG used: No

This score reflects the manuscript's potential for acceptance in its current form.

Deductions

  • -15Incomplete reporting of primary analysis and missing data.
  • -12Single centre and small sample.
  • -6No long-term follow-up.

Additions

  • +5Clear primary outcome and pilot framing.
Starting at 100, deductions for reporting (−15), generalisability (−12), and follow-up (−6) are partially offset by a clarity credit (+5). Final score 62 aligns with a minor-revision recommendation.

This is a concise overview. Switch to Full evaluation (Detailed) above for the complete report: full summary, novelty & literature, strengths & weaknesses, statistical issues, and suggestions.

Summary

  • •Pilot RCT of a 4-week digital stress-reduction intervention in university students.
  • •Strengths include a clear primary outcome and randomization; limitations include small sample, single centre, and no long-term follow-up.

Major Issues

Section
Issue
Methods
Sample size is small (n=60) and no power or precision-based justification is provided. For a pilot, a rationale for the chosen N (e.g. feasibility, precision of SD) would strengthen the design.
Methods
Single-centre recruitment limits generalisability. No information on recruitment rate or eligibility criteria flow (e.g. CONSORT diagram) is provided in the excerpt.
Results
No long-term follow-up is reported. Sustainability of effects beyond 4 weeks is unknown and limits clinical interpretation.
Statistics
Analysis of primary outcome is not fully detailed (e.g. model used, handling of missing data, confidence intervals for between-group difference).

Priority Action Plan

HIGH IMPACT

Problem

Clarify primary analysis (model, CIs, missing data).

Why it matters

Ensures reproducibility and clarity of the main result.

Suggested fix

Clarify primary analysis (model, CIs, missing data).

MEDIUM IMPACT

Problem

Add sample size rationale and, if possible, a CONSORT flow.

Why it matters

Improves transparency and aligns with reporting standards.

Suggested fix

Add sample size rationale and, if possible, a CONSORT flow.

MEDIUM IMPACT

Problem

Frame conclusions explicitly as preliminary.

Why it matters

Avoids overstatement given pilot design.

Suggested fix

Frame conclusions explicitly as preliminary.

Quick win: Main improvements: fully describe the primary analysis and missing data; add a brief sample size rationale and CONSORT flow; frame conclusions as preliminary. Consider planning follow-up in a future trial.