Related Experiment Videos
Missing data handling in pediatric appendectomy research: current practices and National Surgical Quality Improvement
Ayaka Tsutsumi1, Tong Si2, Joanne Salas2
1Department of Pediatric Surgery, SSM Health Cardinal Glennon Children's Hospital, 1465 S Grand Blvd, Saint Louis, MO, 63104, USA. ayaka.tsutsumi@health.slu.edu.
Insights
Missing data handling significantly impacts pediatric appendectomy research findings. Transparent reporting and advanced methods like multiple imputation are crucial for reliable identification of infectious complication risk factors in pediatric surgery.
Area of Science:
- Pediatric Surgery
- Surgical Outcomes Research
- Biostatistics
Background:
- Appendectomy is a common pediatric surgical procedure.
- The influence of missing data handling on clinical conclusions in pediatric surgery is understudied.
- Current reporting practices for missing data in pediatric appendectomy literature are largely unknown.
Purpose of the Study:
- To assess current reporting practices of missing data in pediatric appendectomy literature.
- To quantify the impact of different missing data handling strategies on identifying postoperative infectious complication risk factors.
Main Methods:
- Systematic review of pediatric appendectomy literature from 2023 (PubMed, Web of Science).
- Retrospective analysis of 142,129 cases from the National Surgical Quality Improvement Program-Pediatric (NSQIP-P) database (2015-2022).
- Comparison of five missing data strategies: available case analysis, threshold-based exclusion, complete case analysis, simple imputation, and multiple imputation.
Main Results:
- 54.3% of reviewed articles failed to mention missing data; 86.4% used complete case analysis.
- 39.3% of NSQIP-P records had missing values (height, race most common).
- Missing data handling significantly altered the significance of risk factors (e.g., preoperative white blood cell count); complete case analysis was most conservative.
Conclusions:
- Methodological transparency regarding missing data is insufficient in pediatric surgical research.
- The choice of data handling strategy critically impacts the identification of clinical risk factors.
- Prioritize multiple imputation and mandate rigorous reporting of missingness to ensure evidence-based surgical guidelines.
Background:
Appendectomy is a leading pediatric surgical procedure, yet the impact of missing data handling on clinical conclusions remains unexplored in pediatric surgery. This study aimed to identify current reporting practices in the pediatric appendectomy literature and quantify how different missing-data strategies influence the identification of postoperative infectious-complication risk factors.
Methods:
A systematic review of pediatric appendectomy literature from 2023 was conducted across PubMed and Web of Science to assess missing data reporting. Subsequently, a retrospective analysis of the National Surgical Quality Improvement Program-Pediatric (NSQIP-P) database (2015-2022) was performed on 142,129 cases. Five strategies were compared: available case analysis, threshold-based exclusion, complete case analysis, simple imputation, and multiple imputation. Multivariable logistic regression models identified risk factors for five infectious outcomes, including combined infectious complications, organ space infections, deep incisional infections, superficial surgical site infections, and wound dehiscence.
Results:
The literature review identified 116 eligible articles, of which 54.3% failed to mention missing data. Only 7.3% used advanced statistical techniques, while 86.4% reported that a method relied on complete-case analysis. In the NSQIP-P cohort, 39.3% of records had missing values, primarily in height and race. While core predictors like American Society of Anesthesiologists (ASA) class and operative duration remained stable in multivariate logistic regression analysis, variables such as preoperative white blood cell count and anthropometric measurements fluctuated in significance depending on the handling method. Complete case analysis was the most conservative, identifying the fewest significant predictors.
Conclusion:
Methodological transparency regarding missing data is critically lacking in pediatric surgical research. Because the choice of data-handling strategy significantly alters the identification of clinical risk factors, researchers should prioritize multiple imputation over simple exclusion methods. Journals must mandate rigorous reporting of missingness to ensure the reliability of evidence-based surgical guidelines.
