Statistical analysis guidelines for The Cardiothoracic Surgeon: a comprehensive framework for study design, analysis, and reporting

Abstract Background Rigorous statistical methods and transparent reporting are fundamental to the integrity and reproducibility of cardiothoracic surgical research. As study designs and analytical approaches grow more sophisticated, comprehensive statistical guidelines have become essential to ensure research quality and reliability. These guidelines serve as a comprehensive framework for authors submitting manuscripts to The Cardiothoracic Surgeon, providing detailed recommendations for statistical analysis, interpretation, and reporting across the full spectrum of study designs commonly encountered in cardiothoracic surgical research. Main text The importance of sound statistical practice cannot be overstated in an era where evidence-based medicine drives clinical decision-making and patient care protocols. Inadequate statistical methodology undermines the validity of individual studies and fuels the broader reproducibility crisis in the medical literature. These guidelines establish clear standards for statistical rigor across the research continuum—from study design and power calculations to data analysis and result interpretation. The guidelines encompass key areas, including descriptive statistics, inferential testing, regression analysis, survival analysis, propensity score methods, diagnostic accuracy studies, and specialized techniques such as repeated measures analysis and competing risk models. Each section provides detailed guidance on appropriate test selection, assumption verification, result interpretation, and reporting requirements. Special attention is given to common statistical pitfalls and misconceptions that frequently appear in surgical literature, offering practical solutions and alternative approaches. The intended audience includes cardiothoracic surgeons, clinical researchers, biostatisticians, and journal reviewers who seek to enhance the statistical quality of surgical research. Conclusions By following these guidelines, authors will be better equipped to conduct methodologically sound analyses, interpret results appropriately, and communicate findings clearly to the scientific community. Ultimately, these standards aim to elevate the quality of evidence in cardiothoracic surgery, supporting improved patient outcomes through more reliable and reproducible research.

Authors

Institutions

Publication Details

Journal
The Cardiothoracic Surgeon
Published
2026-04-01
DOI
https://doi.org/10.1186/s43057-026-00196-2
Primary Topic
Meta-analysis and systematic reviews
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Statistical analysis guidelines for The Cardiothoracic Surgeon: a comprehensive framework for study design, analysis, and reporting

Mohamed El Adel, Monirah Abdulrahman Albabtain, Ahmed Awad, Samar A. Alqussayer et al.
The Cardiothoracic Surgeon
Meta-analysis and systematic reviews
article

Statistical analysis guidelines for The Cardiothoracic Surgeon: a comprehensive framework for study design, analysis, and reporting

Mohamed El Adel, Monirah Abdulrahman Albabtain, Ahmed Awad, Samar A. Alqussayer, Feras Altunusi, Amr A. Arafat, Haifa F. Alotaibi, Mohammed Gumaa
article en

Abstract

Abstract Background Rigorous statistical methods and transparent reporting are fundamental to the integrity and reproducibility of cardiothoracic surgical research. As study designs and analytical approaches grow more sophisticated, comprehensive statistical guidelines have become essential to ensure research quality and reliability. These guidelines serve as a comprehensive framework for authors submitting manuscripts to The Cardiothoracic Surgeon, providing detailed recommendations for statistical analysis, interpretation, and reporting across the full spectrum of study designs commonly encountered in cardiothoracic surgical research. Main text The importance of sound statistical practice cannot be overstated in an era where evidence-based medicine drives clinical decision-making and patient care protocols. Inadequate statistical methodology undermines the validity of individual studies and fuels the broader reproducibility crisis in the medical literature. These guidelines establish clear standards for statistical rigor across the research continuum—from study design and power calculations to data analysis and result interpretation. The guidelines encompass key areas, including descriptive statistics, inferential testing, regression analysis, survival analysis, propensity score methods, diagnostic accuracy studies, and specialized techniques such as repeated measures analysis and competing risk models. Each section provides detailed guidance on appropriate test selection, assumption verification, result interpretation, and reporting requirements. Special attention is given to common statistical pitfalls and misconceptions that frequently appear in surgical literature, offering practical solutions and alternative approaches. The intended audience includes cardiothoracic surgeons, clinical researchers, biostatisticians, and journal reviewers who seek to enhance the statistical quality of surgical research. Conclusions By following these guidelines, authors will be better equipped to conduct methodologically sound analyses, interpret results appropriately, and communicate findings clearly to the scientific community. Ultimately, these standards aim to elevate the quality of evidence in cardiothoracic surgery, supporting improved patient outcomes through more reliable and reproducible research.

The Cardiothoracic SurgeonVol. 34(1)
Ministry of Defence (GB), Cleveland Clinic (US), Prince Sultan University (SA), Assiut University (EG)
Peace, Justice and strong institutions
Openalex Percentile: Top 42%
Meta-analysis and systematic reviews
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.