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Updated: Jul 2, 2025
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Author Spotlight: A Reproductive Hysteroscopy Approach for Complete Endometrial Polyp Removal and Enhanced Endometrial Receptivity
Published on: August 2, 2024
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Developing a Nomogram for Prioritizing Hysteroscopy in Endometrial Cancer Diagnosis: A Case-Control Study.
Bruna Bottura1,2, Raphael Federicci Haddad1,2, Vanessa Alvarenga-Bezerra1,2
1Ginecologia Oncológica, Hospital Municipal da Vila Santa Catarina Dr. Gilson de Cássia Marques de Carvalho, São Paulo 04378-500, SP, Brazil.
Journal of Clinical Medicine
|February 24, 2024
Summary
This study developed a nomogram to prioritize hysteroscopy for endometrial cancer diagnosis amid pandemic delays. It identifies high-risk patients, including those with hypertension, diabetes, obesity, and postmenopausal bleeding, for timely intervention.
Area of Science:
- Gynecology
- Oncology
- Public Health
Background:
- Pandemic-related healthcare disruptions significantly delayed non-urgent procedures like hysteroscopies.
- Timely hysteroscopies are crucial for diagnosing endometrial cancer, with significant waiting times observed.
- This study addresses the need for improved patient prioritization in Brazil.
Purpose of the Study:
- To develop a risk stratification model for prioritizing hysteroscopy procedures.
- To identify key risk factors for endometrial cancer in a Brazilian population.
- To create a nomogram for enhanced diagnostic prioritization.
Main Methods:
- A case-control study involving 2103 women undergoing hysteroscopy (March 2019-March 2022).
- Analysis of medical records using bivariate and multivariate linear regression.
- Identification of risk factors and nomogram formulation.
Main Results:
- A 5.5% incidence of pre-invasive and invasive endometrial disease was found.
- Average waiting time for hysteroscopy was 120 days.
- Key risk factors identified: hypertension, diabetes, postmenopausal bleeding, and obesity.
Conclusions:
- There is an urgent need for efficient hysteroscopy prioritization post-pandemic.
- The developed nomogram aids in identifying high-risk endometrial cancer patients.
- Timely diagnosis and treatment are facilitated, improving patient outcomes in resource-strained systems.
