Supplementary file 1_Elastic nailing versus plate and screws fixation for pediatric femora
by Majed N. Alosaimi·Updated 1mo ago
296.9 KB1files
Available on 1 platform
Sign in to view source links and access this dataset
Description
A 2026 systematic review and meta-analysis by Majed N. Alosaimi, following PRISMA guidelines and registered in PROSPERO, compares surgical outcomes for pediatric femoral shaft fractures. It analyzes six randomized controlled trials involving 364 children, comparing elastic stable intramedullary nailing (ESIN) and plating. The review quantifies differences in operative time, blood loss, and complication rates between the two surgical methods.
Use Cases
Comparing operative time and blood loss between ESIN and plating based on the meta-analysis results
Analyzing complication profiles (implant irritation vs. infection/stiffness) for different surgical methods
Informing clinical guidelines for pediatric femoral fracture fixation based on aggregated RCT evidence
Designing future multicenter trials based on identified evidence gaps mentioned in the conclusions
Strengths
Follows PRISMA guidelines and is registered in PROSPERO (CRD420251111355), indicating a structured methodology
Analyzes six high-quality randomized controlled trials involving 364 pediatric patients
Reports specific quantitative findings, such as a mean difference of -36.76 minutes in operative time and -94.77 mL in blood loss for ESIN
Limitations
The dataset is a 296.9 KB DOCX document, which is a small text file rather than a structured data table
Row count and column-level documentation are absent; data must be extracted manually from the document
The analysis is based on six RCTs; a larger pool of studies might alter the conclusions
Provenance
Source
Majed N. Alosaimi via figshare
Collection Method
Systematic review and meta-analysis of randomized controlled trials from Medline/PubMed, ScienceDirect, Scopus, and Embase
Freshness
Last updated 2026-04-28 05:27:28
Data is contained within a DOCX document; analysis requires manual extraction or parsing of the text and tables.