Enrollment and reporting practices in pediatric general surgical randomized clinical trials: A systematic review and

Etienne St-Louis1, Marcus Oosenbrug2, Tara Landry3

  • 1Division of General Surgery, McGill University, Montréal, Quebec, H3G 2M1, Canada; Division of Pediatric General and Thoracic Surgery, McGill University Health Centre, Montreal, Quebec, H4A 3J1, Canada.

Insights

Pediatric surgical trials often fail due to poor planning and underestimation of patient accrual. Trial registration and urgent case focus significantly improve success rates for these complex studies.

Area of Science:

  • Pediatric Surgery
  • Clinical Trial Methodology
  • Evidence-Based Medicine

Background:

  • Pediatric surgical randomized clinical trials (RCTs) are resource-intensive.
  • Systematic review to analyze patient accrual and study duration in pediatric surgical RCTs.
  • Focus on enrollment and registration practices to identify success factors.

Purpose of the Study:

  • To evaluate patient accrual and study duration in pediatric surgical RCTs.
  • To identify predictors of success in pediatric surgical clinical trials.
  • To assess the quality of reporting and common challenges in pediatric surgical RCTs.

Main Methods:

  • Systematic review of peer-reviewed literature (2000-2016) and trial registries.
  • Inclusion criteria mandated a pediatric surgeon author; RCTs were appraised for quality (Jadad, CONSORT scores).
  • Multivariate logistic regression used to identify predictors of success, defined as achieving recruitment objectives.

Main Results:

  • 137 RCTs analyzed; overall reporting quality was poor (median CONSORT score 58%).
  • Only 26 of 137 trials were successful in achieving recruitment objectives.
  • Trial registration and inclusion of urgent cases were significant predictors of trial success (p<0.05).

Conclusions:

  • Pediatric surgical trial reporting, sample-size calculation, and patient accrual are frequently inadequate.
  • Poor planning leads to trial delays and premature termination.
  • Improved study design, informed by these findings, can enhance the successful completion of pediatric surgical RCTs.
Abstract

Related Concept Videos

Random and Systematic Errors01:20

Random and Systematic Errors

Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
15.3K
Clinical Trials01:16

Clinical Trials

Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
10.9K
Clinical Trials: Overview01:11

Clinical Trials: Overview

Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
5.0K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.6K
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
8.4K
Review and Preview01:13

Review and Preview

Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
11.6K