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Study Results Summary

Features

V1.5

Study Results Summary

Introduction

The study begins by discussing Pediatric Soft Tissue Sarcoma (STS), highlighting that Rhabdomyosarcoma (RMS) is the most common type. RMS typically affects children aged 6-8 years on average. The introduction also notes the bimodal peak incidence of STS and explains the main subtypes of RMS - namely, embryonal and alveolar.

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  1. Gender Distribution - 39% male and 61% female.
  2. Age Distribution - Distribution among different age groups:
    • <1 year: 17.9%
    • 1-5 years: 57.1%
    • 6-10 years: 14.3%
    • 10 years and above: 10.7%
  3. Symptom Presentation:
    • Body Masses: 64%
    • Constitutional Symptoms: 25%
  4. Risk Stratification and Survival Outcomes:
    • Low Risk: Five-year OS and RFS both 75%
    • Intermediate Risk: Five-year OS and RFS both 53.3%
    • High Risk: Five-year OS 60%, RFS 80%

Objectives

The objectives are clear and aim to assess the clinical profile and survival rates of Pediatric RMS in Oman. This will document a significant pediatric cancer for which previous data in the region is limited.

Parameter
Details
Number of children
28
Gender ratio (M:F)
1:2
Average age at presentation
3 years
Presenting complaints
Body Masses (64%), Constitutional symptoms (25%)
Disease stage at presentation
Stage 1 or 2 (57%)
Five-year overall survival
60.7%
Five-year relapse-free survival
64.2%

Methods

Expand the study to include children above 13 years old diagnosed with RMS.
Utilize more advanced statistical analysis tools for a more comprehensive data analysis.
Look into other forms of data representation besides Kaplan-Meier survival curves.
Consider the inclusion of additional data from other hospitals for a broader perspective.
Implement real-time data collection methods for future studies.

Conclusion

The study first outlines the clinical features and outcomes of pediatric RMS in Oman, showing comparable survival rates to international data. This influences local treatment and adds valuable data to pediatric oncology. For future studies, it would be beneficial to continue expanding the age range and incorporating more comprehensive statistical tools.

Here are the pie charts visualizing key distributions from the study
Here are the pie charts visualizing key distributions from the study
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  1. Gender Distribution: Shows the percentage of male and female patients involved in the study.
  2. Age Distribution: Illustrates the distribution of patients across different age groups.
  3. Symptom Presentation: Depicts the proportion of different presenting symptoms among the patients.
Table: Study Results Summary
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