Systematic Review and Meta-Analysis for a Prognostic Biomarker on Cardiology

Systematic Review and Meta-Analysis for a Prognostic Biomarker on Cardiology

• Human written good quality manuscript eligible for a moderate to high impact journal submission.

• AI content should be negligible on AI detection

• Can include up to 25-30 references (including the included studies)

• Total word count (excluding abstract) can be 2200-2800, subheadings word count could be the usual for medical journal submissions

Subheadings:

• Introduction

• Methods

• Results

• Discussion

• Strengths

• Limitations

METHODS (additional points)

Study design and Reporting Framework-

Data Sources and Search Strategy - (A comprehensive literature search was performed in PuBMed, Scopus, and Google Scholar from database inception through September 30, 2025.  Controlled vocabulary terms such as Medical Subject Headings (MeSH) in PubMed were used along with free-text keywords, while equivalent title and abstract fields were adapted for Scopus. Searches were restricted to English language and human studies. )

Study Selection and Inclusion/Exclusion criteria-

Screening and Study selection Process- (Two independent reviewers for titles and abstracts for eligibility and full text review. Disagreement between reviewers was resolved by discussion and, if required, arbitration by a third reviewer. Complete study selection process is summarized in a PRISMA flow diagram.)

Data Extraction -

Risk of Bias and Methodological Quality Assessment- NOS Scale, to be added later.

Data Synthesis and Statistical analysis- All tests were two-tailed, where p < 0.05 was considered to be statistically significant. All of the statistical analyses were conducted using R (version 4.5.0).