Research Article

Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms

Volume: 8 Number: 2 March 21, 2025
TR EN

Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms

Abstract

Aims: To examine the outcomes of leiomyomas classified by FIGO in relation to the demographic, clinical, and laboratory characteristics of patients who underwent laparotomic myomectomy. Methods: A total of 199 patients were found between September 2019 and September 2023 according to the criteria for study. Data were analyzed and compared in terms of FIGO leiomyoma classification, leiomyoma size, admission symptoms, body-mass index (BMI) and parity. All demographical and operational features were compared in each group for issues including leiomyomas >8 cm, <8 cm; single or multiple leiomyomas; BMI >30, <30; multiparous and nulliparous patients. Moreover, patients’ admission symptoms as abnormal uterine bleeding, pelvic pain and compression were also recorded and compared. Results: The mean leiomyoma size, compression symptoms and pelvic pain of those with abnormal uterine bleeding was 8.5±3.2 cm, 9.6±3.1 cm, and 10.9±3.6 cm; respectively. The mean leiomyoma size of individuals with pelvic pain was significantly larger than that of those with abnormal uterine bleeding (p<0.05). Nulliparous patients exhibited a higher incidence of multiple myomas than multiparous patients. Nulliparous patients experienced a lower incidence of abnormal uterine hemorrhage than multiparous patients; however, the incidence of pelvic pain and pressure symptoms was more common (p=0.013). The mean leiomyoma size of those with BMI <30 and BMI ≥30 was 9.8±3.6 cm, and 9.2±3.1 cm; respectively. No statistically significant difference was observed between these groups in terms of mean leiomyoma size, operation time, hospital stay and postoperative complications (p>0.05). Conclusion: When evaluating laparotomic myomectomy patients, the patient’s parity status, location and size of the leiomyoma should be taken into consideration before surgery.

Keywords

References

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Details

Primary Language

English

Subjects

Obstetrics and Gynaecology

Journal Section

Research Article

Publication Date

March 21, 2025

Submission Date

December 5, 2024

Acceptance Date

March 3, 2025

Published in Issue

Year 2025 Volume: 8 Number: 2

APA
Yağmacı, G., Adıgüzel, F. I., & Uysal, G. (2025). Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms. Journal of Health Sciences and Medicine, 8(2), 319-324. https://doi.org/10.32322/jhsm.1596426
AMA
1.Yağmacı G, Adıgüzel FI, Uysal G. Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms. J Health Sci Med / JHSM. 2025;8(2):319-324. doi:10.32322/jhsm.1596426
Chicago
Yağmacı, Gurbet, Fikriye Işıl Adıgüzel, and Gülsüm Uysal. 2025. “Analyzing Leiomyomas With FIGO Classification Regarding Parity, Body Mass Index and Admission Symptoms”. Journal of Health Sciences and Medicine 8 (2): 319-24. https://doi.org/10.32322/jhsm.1596426.
EndNote
Yağmacı G, Adıgüzel FI, Uysal G (March 1, 2025) Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms. Journal of Health Sciences and Medicine 8 2 319–324.
IEEE
[1]G. Yağmacı, F. I. Adıgüzel, and G. Uysal, “Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms”, J Health Sci Med / JHSM, vol. 8, no. 2, pp. 319–324, Mar. 2025, doi: 10.32322/jhsm.1596426.
ISNAD
Yağmacı, Gurbet - Adıgüzel, Fikriye Işıl - Uysal, Gülsüm. “Analyzing Leiomyomas With FIGO Classification Regarding Parity, Body Mass Index and Admission Symptoms”. Journal of Health Sciences and Medicine 8/2 (March 1, 2025): 319-324. https://doi.org/10.32322/jhsm.1596426.
JAMA
1.Yağmacı G, Adıgüzel FI, Uysal G. Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms. J Health Sci Med / JHSM. 2025;8:319–324.
MLA
Yağmacı, Gurbet, et al. “Analyzing Leiomyomas With FIGO Classification Regarding Parity, Body Mass Index and Admission Symptoms”. Journal of Health Sciences and Medicine, vol. 8, no. 2, Mar. 2025, pp. 319-24, doi:10.32322/jhsm.1596426.
Vancouver
1.Gurbet Yağmacı, Fikriye Işıl Adıgüzel, Gülsüm Uysal. Analyzing leiomyomas with FIGO classification regarding parity, body mass index and admission symptoms. J Health Sci Med / JHSM. 2025 Mar. 1;8(2):319-24. doi:10.32322/jhsm.1596426

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