Prognostic nomogram and treatment efficacy analysis for vaginal cancer: A <scp>SEER</scp> database and external validation study

Chen, Gao; Li, Hui; Wu, Rongrong; Chen, Wenjuan

doi:10.1002/ijgo.14750

Cited by 3 publications

(3 citation statements)

References 27 publications

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“…Nomogram, as a relatively new statistical prediction model in recent years, has many advantages over traditional prognostic analysis models, such as high accuracy, exible use, and ease of promotion. Currently, it has been widely used in various types of tumors such as liver cancer, bladder cancer, prostate cancer, and vaginal cancer (15)(16)(17)(18)(19). Our established nomogram demonstrated that sex, age at initial diagnosis, grade, AJCC 7th Stage, surgery, chemotherapy, and multiple primary malignancy were independent prognostic factors for geriatric gastric cancer patients.…”

Section: Discussionmentioning

confidence: 78%

“…curves indicate that the survival rate of geriatric gastric cancer patients decreases as the stage increases. For a single treatment modality (Figure 4), the median survival times for patients with stage I surgery only, radiotherapy only, and chemotherapy only (Figure 4 For the combination of treatment modalities (Figure 4), patients with stage I and II surgery plus chemotherapy OS higher than the other combination of treatment modalities; median survival time for patients with stage III surgery plus chemotherapy, surgery plus radiotherapy, chemotherapy plus radiotherapy, and surgery plus chemotherapy plus radiotherapy were 25 months (95% CI 22-29), 18 months (95% CI [14][15][16][17][18][19][20][21][22], 16 months (95% CI 14-18) and 28 months (95% CI 25-31); median survival times for patients with stage IV surgery plus chemotherapy, surgery plus radiotherapy, chemotherapy plus radiotherapy, and surgery plus chemotherapy plus radiotherapy were 20 months (95% CI 17-25), 8 months (95% CI 6-14), 10 months (95% CI 9-11), and 13 months (95% CI 11-16), respectively.…”

Section: Comparison Of Treatmentmentioning

confidence: 99%

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A Nomogram Model and Therapeutic Efficacy Assessment for Geriatric Patient with Gastric Cancer: A SEER Database and External validation Study

Sun

Bao

et al. 2023

Preprint

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Purpose This research has delineated an all-encompassing survival prognostication model for geriatric patients afflicted by gastric cancer, elucidating the influence of diverse therapeutic modalities on the patient's prognosis. The primary aim herein is to aid clinical practitioners in the discernment of patient states and the judicious selection of apt therapeutic interventions. Methods In this investigation, the esteemed SEER database served as the foundation. We employed Cox regression analysis to identify pivotal risk factors governing overall survival (OS) in the venerable cohort afflicted by gastric cancer. Subsequently, we crafted a meticulous Nomogram model, subjecting it to the crucible of external validation data, with unwavering attention to the metrics of predictive accuracy, notably the concordance index (c-index), and the calibration curve. Lastly, we delved into the impact of diverse therapeutic modalities on patient OS, intimately scrutinizing the results through the lens of Kaplan-Meier curves. Results A total of 9,222 patients from the SEER database, alongside 209 validation cases from Liaoning Cancer Hospital, constituted our cohort. Cox regression analysis revealed several favorable independent prognostic factors, including being female, younger age at initial diagnosis, lower tumor grade, undergoing surgery, receiving chemotherapy, and having a single primary malignancy. The Nomogram's C-index garnered 0.723 from the SEER modeling data and 0.719 from the external validation data, with the calibration curve attesting to the commendable congruence between the predicted and observed survival rates of overall survival (OS). Through the discerning lens of Kaplan-Meier analysis, surgery emerged as the preeminent single treatment modality, generously benefitting patients across various tumor stages. Meanwhile, the elegant interplay of surgery and chemotherapy assumed the mantle of the most efficacious combined therapeutic approach. Indeed, this amalgamation exhibited superior efficacy, outperforming the solitary pursuit of surgery alone. Conclusion We established an OS nomogram prediction model for geriatric patients with gastric cancer, which may assist physicians in evaluating patient conditions. Surgery plus chemotherapy may be the most recommended form of treatment.

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Section: Discussionmentioning

confidence: 78%

Section: Comparison Of Treatmentmentioning

confidence: 99%

A Nomogram Model and Therapeutic Efficacy Assessment for Geriatric Patient with Gastric Cancer: A SEER Database and External validation Study

Sun

Bao

et al. 2023

Preprint

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show abstract

“…Ma et al constructed a nomogram based on the SEER database and a Chinese cohort to predict the prognosis of metastatic breast cancer patients of reproductive age for personalized treatment 22 . Last year, some scholars used the seer database and their own data to build a prognostic model for vaginal cancer, and through this model, they concluded that surgery combined with external beam radiation plus brachial therapy may be the most recommended treatment choice, and constructed a relevant column chart to guide treatment 23 . For childhood tumors, cancer-speci survival predictions have also been made for Wilms tumors in children, and the reliability of nomogram construction has veri ed by internal and external validation 24 .…”

Section: Discussionmentioning

confidence: 99%

Development and validation of a prognostic nomogram for ovarian clear cell carcinoma: A study based on the SEER database and a Chinese cohort

Shen,

Zhao,

Zhang

et al. 2023

Preprint

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Background: Based on the SEER database of patients diagnosed with OCCC from 2000 to 2018, the overall survival (OS) and cancer-specific survival (CSS) nomograms were constructed, and the OCCC patients from our hospital were used for external validation. We aim to develop scientifically valid prognostic models for OCCC. Methods: Data were extracted from the SEER database for patients diagnosed with OCCC. Cox regression analyses were used to identify independent risk factors for OCCC. Two nomograms were developed and the results were evaluated comprehensively by C-index, ROC curve, calibration curve, and DCA curve. Finally, patients diagnosed with OCCC in our hospital were used as the validation set to verify the model. Results: A total of 1855 OCCC patients from the SEER database were used as the training set and 101 patients from our hospital were used as the validation set. Cox regression analysis of the independent risk factors affecting the prognosis of OCCC was used to construct nomograms. The C-index of the training set OS was 0.76, and the validation set OS was 0.75. The AUC of the training set OS is 0.803, 0.794, and 0.802 for 1, 3, and 5 years, and 0.774, 0.800, and 0.923 for the validation set. The calibration curve and DCA curve also show that OS and CSS have good predictive power. Conclusions: We constructed nomograms to predict the prognosis of OCCC. The nomograms have satisfactory accuracy and clinical practicability, which can guide the decision of clinicians.

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Prediction model of adnexal masses with complex ultrasound morphology

Wu,

Miao,

Wang

et al. 2023

Front. Med.

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BackgroundBased on the ovarian-adnexal reporting and data system (O-RADS), we constructed a nomogram model to predict the malignancy potential of adnexal masses with sophisticated ultrasound morphology.MethodsIn a multicenter retrospective study, a total of 430 subjects with masses were collected in the adnexal region through an electronic medical record system at the Fourth Hospital of Harbin Medical University during the period of January 2019–April 2023. A total of 157 subjects were included in the exception validation cohort from Harbin Medical University Tumor Hospital. The pathological tumor findings were invoked as the gold standard to classify the subjects into benign and malignant groups. All patients were randomly allocated to the validation set and training set in a ratio of 7:3. A stepwise regression analysis was utilized for filtering variables. Logistic regression was conducted to construct a nomogram prediction model, which was further validated in the training set. The forest plot, C-index, calibration curve, and clinical decision curve were utilized to verify the model and assess its accuracy and validity, which were further compared with existing adnexal lesion models (O-RADS US) and assessments of different types of neoplasia in the adnexa (ADNEX).ResultsFour predictors as independent risk factors for malignancy were followed in the preparation of the diagnostic model: O-RADS classification, HE4 level, acoustic shadow, and protrusion blood flow score (all p < 0.05). The model showed moderate predictive power in the training set with a C-index of 0.959 (95%CI: 0.940–0.977), 0.929 (95%CI: 0.884–0.974) in the validation set, and 0.892 (95%CI: 0.843–0.940) in the external validation set. It showed that the predicted consequences of the nomogram agreed well with the actual results of the calibration curve, and the novel nomogram was clinically beneficial in decision curve analysis.ConclusionThe risk of the nomogram of adnexal masses with complex ultrasound morphology contained four characteristics that showed a suitable predictive ability and provided better risk stratification. Its diagnostic performance significantly exceeded that of the ADNEX model and O-RADS US, and its screening performance was essentially equivalent to that of the ADNEX model and O-RADS US classification.

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Prognostic nomogram and treatment efficacy analysis for vaginal cancer: A SEER database and external validation study

Cited by 3 publications

References 27 publications

A Nomogram Model and Therapeutic Efficacy Assessment for Geriatric Patient with Gastric Cancer: A SEER Database and External validation Study

A Nomogram Model and Therapeutic Efficacy Assessment for Geriatric Patient with Gastric Cancer: A SEER Database and External validation Study

Development and validation of a prognostic nomogram for ovarian clear cell carcinoma: A study based on the SEER database and a Chinese cohort

Prediction model of adnexal masses with complex ultrasound morphology

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