A Predictive Nomogram for Recurrence of Carcinoma of the Major Salivary Glands&lt;alt-title&gt;Nomogram for Salivary Gland Carcinoma Recurrence&lt;/alt-title&gt;

Ali, Safina; Palmer, Frank L.; Yu, Changhong; DiLorenzo, Monica; Shah, Jatin P.; Kattan, Michael W.; Patel, Snehal G.; Ganly, Ian

doi:10.1001/jamaoto.2013.3347

Cited by 30 publications

(26 citation statements)

References 33 publications

(33 reference statements)

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“…Nomograms for overall survival, cancer specific survival and recurrence have previously been reported (10, 11) for the salivary gland carcinoma nomogram-generation cohort (original cohort) and are presented in Figure 1A–C.…”

Section: Methodsmentioning

confidence: 73%

“…Major salivary gland nomograms for overall survival (10), cancer specific survival (10) and recurrence (11) have recently been published by our institution. A comprehensive list of potential factors, created in consultation with an expert panel and consultation with the literature, were considered as potential covariates and used to collect initial data for the nomogram generation cohort.…”

Section: Introductionmentioning

confidence: 99%

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Validation of nomograms for overall survival, cancer‐specific survival, and recurrence in carcinoma of the major salivary glands

et al. 2018

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Section: Methodsmentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

Validation of nomograms for overall survival, cancer‐specific survival, and recurrence in carcinoma of the major salivary glands

et al. 2018

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“…Outside of adenoid cystic cancer, nomograms have been demonstrated in breast and prostate cancer to be superior to conventional staging, scoring systems, and expert opinion [17,18,21,22]. We have also reported the utility of nomograms for management of patients with oral cancer [20] and salivary gland cancer [24,25]. Furthermore, nomograms are arguably most valuable in situations where the potential benefit of added therapy is unclear [22,26,27].…”

Section: Discussionmentioning

confidence: 99%

Nomograms for predicting survival and recurrence in patients with adenoid cystic carcinoma. An international collaborative study

Ganly

Amit

Kou

et al. 2015

European Journal of Cancer

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Background Due to the rarity of adenoid cystic carcinoma (ACC), information on outcome is based upon small retrospective case series. The aim of our study was to create a large multiinstitutional international dataset of patients with ACC in order to design predictive nomograms for outcome. Methods ACC patients managed at 10 international centers were identified. Patient, tumor, and treatment characteristics were recorded and an international collaborative dataset created. Multivariable competing risk models were then built to predict the 10 year recurrence free probability (RFP), distant recurrence free probability (DRFP), overall survival (OS) and cancer specific mortality (CSM). All predictors of interest were added in the starting full models before selection, including age, gender, tumor site, clinical T stage, perineural invasion, margin status, pathologic N-status, and M-status. Stepdown method was used in model selection to choose predictive variables. An external dataset of 99 patients from 2 other institutions was used to validate the nomograms. Findings Of 438 ACC patients, 27.2% (119/438) died from ACC and 38.8% (170/438) died of other causes. Median follow-up was 56 months (range 1–306). The nomogram for OS had 7 variables (age, gender, clinical T stage, tumor site, margin status, pathologic N-status and M-status) with a concordance index (CI) of 0.71. The nomogram for CSM had the same variables, except margin status, with a concordance index (CI) of 0.70. The nomogram for RFP had 7 variables (age, gender, clinical T stage, tumor site, margin status, pathologic N status and perineural invasion) (CI 0.66). The nomogram for DRFP had 6 variables (gender, clinical T stage, tumor site, pathologic N-status, perineural invasion and margin status) (CI 0.64). Concordance index for the external validation set were 0.76, 0.72, 0.67 and 0.70 respectively. Interpretation Using an international collaborative database we have created the first nomograms which estimate outcome in individual patients with ACC. These predictive nomograms will facilitate patient counseling in terms of prognosis and subsequent clinical follow-up. They will also identify high risk patients who may benefit from clinical trials on new targeted therapies for patients with ACC. Funding None.

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“…Morever, several nomograms have been used to assist clinicians in making treatment and follow-up decisions in patients with head and neck cancers, including squamous cell carcinoma [18–21], adenoid cystic carcinoma [22] and nasopharyngeal cancer [23]. Two studies have reported the utility of nomograms for predicting the outcomes of patients with MSGC [5, 7], but both were based on a single population retrospective cohort and did not include patients who did not undergo surgery.…”

Section: Introductionmentioning

confidence: 99%

Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study

Liu

et al. 2017

Oncotarget

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In this study, we aimed to develop and validate nomograms for predicting long-term overall survival (OS) and cancer-specific survival (CSS) in major salivary gland cancer (MSGC) patients. These nomograms were developed using a retrospective cohort (N=4218) from the Surveillance, Epidemiology, and End Results (SEER) database, and externally validated using an independent data cohort (N=244). We used univariate, and multivariate analyses, and cumulative incidence function to select the independent prognostic factors of OS and CSS. Index of concordance (c-index) and calibration plots were used to estimate the nomograms’ predictive accuracy. The median follow-up period was 34 months (1–119 months). Of 4218 MSGC patients, 1320 (31.3%) died by the end of the follow-up; of these 1320 patients, 883 (20.9%) died of MSGC. The OS nomogram, which had a c-index of 0.817, was based on nine variables: age, sex, tumor site, tumor grade, surgery performed, radiation therapy and TNM classifications. The CSS nomogram, which had a c-index of 0.829, was based on the same nine variables plus race. External validation c-indexes were 0.829 and 0.807 for OS and CSS, respectively. Based on SEER database, we have developed nomograms predicting five- and eight-years OS and CSS for MSGC patients with perfect accuracy. These nomograms will help clinicians customize treatment and monitoring strategies in MSGC patients.

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A Predictive Nomogram for Recurrence of Carcinoma of the Major Salivary Glands<alt-title>Nomogram for Salivary Gland Carcinoma Recurrence</alt-title>

Cited by 30 publications

References 33 publications

Validation of nomograms for overall survival, cancer‐specific survival, and recurrence in carcinoma of the major salivary glands

Validation of nomograms for overall survival, cancer‐specific survival, and recurrence in carcinoma of the major salivary glands

Nomograms for predicting survival and recurrence in patients with adenoid cystic carcinoma. An international collaborative study

Nomograms for predicting long-term overall survival and cancer-specific survival in patients with major salivary gland cancer: a population-based study

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