Predicting individualized mortality probabilities for patients with squamous cell carcinoma of the maxilla: Novel models with clinical and histopathological predictors

Fons J B Slieker; Remco de Bree; Ellen M Van Cann

doi:10.1002/hed.25879

Predicting individualized mortality probabilities for patients with squamous cell carcinoma of the maxilla: Novel models with clinical and histopathological predictors

Fons J B Slieker
, Remco de Bree
, Ellen M Van Cann^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

3 Downloads (Pure)

Abstract

BACKGROUND: The aim of this article was to develop prediction models that calculate postoperative 2- and 5-year mortality probabilities of patients with squamous cell carcinoma of the maxilla (MSCC).

METHODS: Data were collected from the medical records of patients who had been operated between 2000 and 2015 for MSCC. Potential clinical and histopathological predictors were identified. Confounding-(un)adjusted multivariate Cox and logistic regression models were computed with stepwise backward selection. Internal validation was performed to assess calibration and discriminatory ability.

RESULTS: Ninety-five patients with MSCC were included. Two-year follow-up was complete, and 85 patients had 5-year follow-up. Age, neck treatment, surgical margins, bone invasion, spindle growth, and vasoinvasive growth were associated with mortality. Models were adjusted for confounding with Charlson's comorbidities index. C-indexes were .841 and .770 respectively, and .838 and .749 after bootstrapping.

CONCLUSION: The MSCC-specific mortality probability can be calculated with new prediction models.

Original language	English
Pages (from-to)	3584-3593
Number of pages	10
Journal	Head & neck
Volume	41
Issue number	10
DOIs	https://doi.org/10.1002/hed.25879
Publication status	Published - 1 Oct 2019

Keywords

head and neck cancer
maxillary squamous cell carcinoma
mortality
oral cancer
prediction model
prognosis
webcalculator

Access to Document

10.1002/hed.25879

sliekerFinal published version, 882 KBLicence: Taverne

Cite this

@article{5adab2db57a1431a85c4f3a3c7e94d73,

title = "Predicting individualized mortality probabilities for patients with squamous cell carcinoma of the maxilla: Novel models with clinical and histopathological predictors",

abstract = "BACKGROUND: The aim of this article was to develop prediction models that calculate postoperative 2- and 5-year mortality probabilities of patients with squamous cell carcinoma of the maxilla (MSCC).METHODS: Data were collected from the medical records of patients who had been operated between 2000 and 2015 for MSCC. Potential clinical and histopathological predictors were identified. Confounding-(un)adjusted multivariate Cox and logistic regression models were computed with stepwise backward selection. Internal validation was performed to assess calibration and discriminatory ability.RESULTS: Ninety-five patients with MSCC were included. Two-year follow-up was complete, and 85 patients had 5-year follow-up. Age, neck treatment, surgical margins, bone invasion, spindle growth, and vasoinvasive growth were associated with mortality. Models were adjusted for confounding with Charlson's comorbidities index. C-indexes were .841 and .770 respectively, and .838 and .749 after bootstrapping.CONCLUSION: The MSCC-specific mortality probability can be calculated with new prediction models.",

keywords = "head and neck cancer, maxillary squamous cell carcinoma, mortality, oral cancer, prediction model, prognosis, webcalculator",

author = "Slieker, \{Fons J B\} and \{de Bree\}, Remco and \{Van Cann\}, \{Ellen M\}",

note = "{\textcopyright} 2019 Wiley Periodicals, Inc.",

year = "2019",

month = oct,

day = "1",

doi = "10.1002/hed.25879",

language = "English",

volume = "41",

pages = "3584--3593",

journal = "Head \& neck",

issn = "1043-3074",

publisher = "John Wiley \& Sons Inc.",

number = "10",

}

TY - JOUR

T1 - Predicting individualized mortality probabilities for patients with squamous cell carcinoma of the maxilla

T2 - Novel models with clinical and histopathological predictors

AU - Slieker, Fons J B

AU - de Bree, Remco

AU - Van Cann, Ellen M

PY - 2019/10/1

Y1 - 2019/10/1

N2 - BACKGROUND: The aim of this article was to develop prediction models that calculate postoperative 2- and 5-year mortality probabilities of patients with squamous cell carcinoma of the maxilla (MSCC).METHODS: Data were collected from the medical records of patients who had been operated between 2000 and 2015 for MSCC. Potential clinical and histopathological predictors were identified. Confounding-(un)adjusted multivariate Cox and logistic regression models were computed with stepwise backward selection. Internal validation was performed to assess calibration and discriminatory ability.RESULTS: Ninety-five patients with MSCC were included. Two-year follow-up was complete, and 85 patients had 5-year follow-up. Age, neck treatment, surgical margins, bone invasion, spindle growth, and vasoinvasive growth were associated with mortality. Models were adjusted for confounding with Charlson's comorbidities index. C-indexes were .841 and .770 respectively, and .838 and .749 after bootstrapping.CONCLUSION: The MSCC-specific mortality probability can be calculated with new prediction models.

AB - BACKGROUND: The aim of this article was to develop prediction models that calculate postoperative 2- and 5-year mortality probabilities of patients with squamous cell carcinoma of the maxilla (MSCC).METHODS: Data were collected from the medical records of patients who had been operated between 2000 and 2015 for MSCC. Potential clinical and histopathological predictors were identified. Confounding-(un)adjusted multivariate Cox and logistic regression models were computed with stepwise backward selection. Internal validation was performed to assess calibration and discriminatory ability.RESULTS: Ninety-five patients with MSCC were included. Two-year follow-up was complete, and 85 patients had 5-year follow-up. Age, neck treatment, surgical margins, bone invasion, spindle growth, and vasoinvasive growth were associated with mortality. Models were adjusted for confounding with Charlson's comorbidities index. C-indexes were .841 and .770 respectively, and .838 and .749 after bootstrapping.CONCLUSION: The MSCC-specific mortality probability can be calculated with new prediction models.

KW - head and neck cancer

KW - maxillary squamous cell carcinoma

KW - mortality

KW - oral cancer

KW - prediction model

KW - prognosis

KW - webcalculator

UR - https://www.scopus.com/pages/publications/85072133543

U2 - 10.1002/hed.25879

DO - 10.1002/hed.25879

M3 - Article

C2 - 31347740

SN - 1043-3074

VL - 41

SP - 3584

EP - 3593

JO - Head & neck

JF - Head & neck

IS - 10

ER -

Predicting individualized mortality probabilities for patients with squamous cell carcinoma of the maxilla: Novel models with clinical and histopathological predictors

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this