Impact of Machine Learning Algorithms on Early Detection of Cardiovascular Disease: A Multi-Center Prospective Study
Dr. Maria Elena Vasquez, Prof. James K. Thornton, Dr. Ling Wei Chen, Dr. Amara Okafor
Under Review Revision 1 Submitted: 14 Mar 2026 MS-2026-0847
Technical Check
PASS
Submission Integrity
MEDIUM RISK
Reviewer Finder
5 CANDIDATES
Reviewer Workflow
2 COMPLETED
Editorial Assistant
MAJOR REVISION
Revision Check
PASS — 92%
1 Technical Check PASS

Manuscript passes all technical checks. All mandatory policies are satisfied. Ethics statement present, funding declaration found, data availability section included. Minor formatting suggestions noted.

Policy Snapshot
Ethics Statement
Present
Funding
Declared
COI Disclosure
Found
Data Availability
Present
Consent
IRB Approved
Citation Style
Minor Issues
2 Submission Integrity MEDIUM RISK
Medium
Risk Level
72%
Confidence
2
Flags Raised

Elevated self-citation ratio (34%) detected across 3 related publications. Bibliography partially disconnected from manuscript topic. Moderate overlap detected with prior OpenAlex work (similarity: 0.67).

Flags
  • Self-citation ratio 34% — above 25% threshold
  • Partial bibliography disconnect with manuscript topic area
3 Reviewer Finder 5 Found

Topic: Machine Learning in Cardiovascular Risk Prediction

Prof. Elena Marchetti
University of Milan, Dept. of Biomedical Engineering
Score: 94
Dr. Raj Patel
Stanford University, AI in Medicine Lab
Score: 89
Dr. Anna Kowalski
Jagiellonian University, Medical Informatics
Score: 85
4 Reviewer Workflow 2 Completed
Prof. Marchetti — Completed
Dr. Patel — Completed
Dr. Kowalski — Declined
5 Editorial Assistant Major Revision
Major Revision
Recommended Decision
2 / 2
Valid Reviews Used
Low
AI Suspicion Level

Both reviewers agree the methodology needs strengthening. Reviewer 1 raises concerns about sample size justification. Reviewer 2 flags missing cross-validation details. Both recommend acceptance after major revision.

Mandatory Revisions
  • Provide formal sample size justification with power analysis
  • Add k-fold cross-validation results for all ML models
  • Clarify feature selection methodology in Section 3.2
6 Revision Check PASS — 92%
92%
Coverage
88%
Verified
1
Unresolved
Resolution Map
Sample size justification
Resolved — Power analysis added in Section 2.3 with G*Power reference
Cross-validation results
Resolved — Table 4 now includes 10-fold CV results for all models
Feature selection methodology
Partially Resolved — Section 3.2 updated but lacks comparison with alternative methods
Self-citation ratio
Resolved — Reduced from 34% to 18% by adding 12 external references
7 Files 6 files
DOCX
manuscript_v2.docx
Revision 2 · 14 Mar 2026
DOCX
manuscript_v1.docx
Revision 1 · 28 Jan 2026
PDF
cover_letter.pdf
Revision 1 · 28 Jan 2026
PDF
response_letter.pdf
Revision 2 · 14 Mar 2026
PDF
review_marchetti.pdf
Reviewer Report · 22 Feb 2026
PDF
review_patel.pdf
Reviewer Report · 25 Feb 2026
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8 Audit Log 12 entries
Revision Check completed
PASS — 92% coverage · 14 Mar 2026, 16:42
Revision package uploaded
V2 manuscript + response letter · 14 Mar 2026, 14:20
Editorial Assistant completed
Major Revision recommended · 01 Mar 2026, 10:15
Reviewer report uploaded
Dr. Patel — completed · 25 Feb 2026, 09:30
Reviewer report uploaded
Prof. Marchetti — completed · 22 Feb 2026, 14:55
Reviewer declined
Dr. Kowalski — 10 Feb 2026, 08:20
Manuscript submitted
Original submission · 28 Jan 2026, 11:00
Metadata
Status Under Review
Revision 2
Keywords ML, Cardiovascular, Risk
Submitted 28 Jan 2026
Last updated 14 Mar 2026
Editor notes Strong multi-center study, pending revision response
Journal Constitution
Active governance rules for editorial decisions in this journal.
GUIDANCE
Require minimum 2 reviewer reports before editorial decision
GUARD
Block ACCEPT when SI risk is HIGH without override note
PRECEDENT
3 similar manuscripts accepted with Major Revision path
Editorial Memory
Related precedent cases from this journal's editorial history.
ML-Based Prediction of Heart Failure
Major Revision → Accepted · Vol. 12, Issue 3
Deep Learning for ECG Analysis
Minor Revision → Accepted · Vol. 12, Issue 1
Neural Networks in CVD Screening
Major Revision → Rejected · Vol. 11, Issue 4
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