1.Longer waiting times for early stage cervical cancer patients undergoing radical hysterectomy are associated with diminished long-term overall survival.
Kulisara NANTHAMONGKOLKUL ; Jitti HANPRASERTPONG
Journal of Gynecologic Oncology 2015;26(4):262-269
OBJECTIVE: The aim of this study was to evaluate the impact of surgical waiting time on clinical outcome in early stage cervical cancer. METHODS: The cohort consisted of 441 patients diagnosed with stages IA2-IB1cervical cancer who underwent radical hysterectomy and pelvic node dissection. The patients were divided into two groups based on surgical waiting time. The associations between waiting time and other potential prognostic factors with clinical outcome were evaluated. RESULTS: The median surgical waiting time was 43 days. Deep stromal invasion (hazard ratio [HR], 2.5; 95% confidence interval [CI], 1.4 to 4.6; p=0.003) and lymph node metastasis (HR, 2.9; 95% CI, 1.3 to 6.7; p=0.026) were identified as independent prognostic factors for recurrence-free survival while no prognostic significance of surgical waiting time was found (p=0.677). On multivariate analysis of overall survival (OS), only deep stromal invasion (HR, 2.6; 95% CI, 1.3 to 5.0; p=0.009) and lymph node metastasis (HR, 3.6; 95% CI, 1.5 to 8.6; p=0.009) were identified as independent prognostic factors for OS. Although OS showed no significant difference between short (< or =8 weeks) and long (>8 weeks) waiting times, multivariate analysis of OS with time-varying effects revealed that a waiting time longer than 8 weeks was associated with poorer long-term survival (after 5 years; HR, 3.4; 95% CI, 1.3 to 9.2; p=0.021). CONCLUSION: A longer surgical waiting time was associated with diminished long-term OS of early stage cervical cancer patients.
Adult
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Aged
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Disease-Free Survival
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Female
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Humans
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Hysterectomy/*methods/mortality/statistics & numerical data
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Middle Aged
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Neoplasm Recurrence, Local/etiology/mortality
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Prognosis
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Retrospective Studies
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*Time-to-Treatment
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Uterine Cervical Neoplasms/mortality/pathology/*surgery
2.A personalized nomogram for predicting 3-year overall survival of patients with uterine carcinosarcoma in a tertiary care hospital in Southern Thailand
Kulisara NANTHAMONGKOLKUL ; Pacharadol TAWEERAT ; Ingporn JIAMSET
Obstetrics & Gynecology Science 2023;66(3):198-207
Objective:
To develop a nomogram for predicting 3-year overall survival (OS) and outcomes of surgically staged patients with uterine carcinosarcomas (UCS).
Methods:
This retrospective study analyzed the clinicopathological characteristics, treatment data, and oncological outcomes of 69 patients diagnosed with UCS between January 2002 and September 2018. Significant prognostic factors for OS were identified and integrated to develop a nomogram. Concordance probability (CP) was used as a precision measure. The model was internally validated using bootstrapping samples to correct overfitting.
Results:
The median follow-up time was 19.4 months (range, 0.77-106.13 months). The 3-year OS was 41.8% (95% confidence interval [CI], 29.9-58.3%). The International Federation of Gynecology and Obstetrics (FIGO) stage and adjuvant chemotherapy were independent factors for OS. The CP of the nomogram integrating with body mass index (BMI), FIGO stage, and adjuvant chemotherapy was 0.72 (95% CI, 0.70-0.75). In addition, the calibration curves for the probability of 3-year OS demonstrated good agreement between the nomogram-predicted and observed data.
Conclusion
The established nomogram using BMI, FIGO stage, and adjuvant chemotherapy accurately predicted the 3-year OS of patients with UCS. The nomogram was useful for patient counselling and deciding on follow-up strategies.