Publication

Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality

Ettaieb, M. H. T., van Kuijk, S. M. J., de Wit-Pastoors, A., Feelders, R. A., Corssmit, E. P. M., Eekhoff, E. M. W., van der Valk, P., Timmers, H. J. L. M., Kerstens, M. N., Klümpen, H-J., Leeuwaarde, V. R. S., Havekes, B. & Haak, H. R., 22-Sep-2020, In : Cancers. 12, 9, p. 1-16 15 p., 2720.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Ettaieb, M. H. T., van Kuijk, S. M. J., de Wit-Pastoors, A., Feelders, R. A., Corssmit, E. P. M., Eekhoff, E. M. W., van der Valk, P., Timmers, H. J. L. M., Kerstens, M. N., Klümpen, H-J., Leeuwaarde, V. R. S., Havekes, B., & Haak, H. R. (2020). Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality. Cancers, 12(9), 1-16. [2720]. https://doi.org/10.3390/cancers12092720

Author

Ettaieb, Madeleine H T ; van Kuijk, Sander M J ; de Wit-Pastoors, Annelies ; Feelders, Richard A ; Corssmit, Eleonora P M ; Eekhoff, Elisabeth M W ; van der Valk, Paul ; Timmers, Henri J L M ; Kerstens, Michiel N ; Klümpen, Heinz-Josef ; Leeuwaarde, van Rachel S ; Havekes, Bas ; Haak, Harm R. / Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality. In: Cancers. 2020 ; Vol. 12, No. 9. pp. 1-16.

Harvard

Ettaieb, MHT, van Kuijk, SMJ, de Wit-Pastoors, A, Feelders, RA, Corssmit, EPM, Eekhoff, EMW, van der Valk, P, Timmers, HJLM, Kerstens, MN, Klümpen, H-J, Leeuwaarde, VRS, Havekes, B & Haak, HR 2020, 'Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality', Cancers, vol. 12, no. 9, 2720, pp. 1-16. https://doi.org/10.3390/cancers12092720

Standard

Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality. / Ettaieb, Madeleine H T; van Kuijk, Sander M J; de Wit-Pastoors, Annelies; Feelders, Richard A; Corssmit, Eleonora P M; Eekhoff, Elisabeth M W; van der Valk, Paul; Timmers, Henri J L M; Kerstens, Michiel N; Klümpen, Heinz-Josef; Leeuwaarde, van Rachel S; Havekes, Bas; Haak, Harm R.

In: Cancers, Vol. 12, No. 9, 2720, 22.09.2020, p. 1-16.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Ettaieb MHT, van Kuijk SMJ, de Wit-Pastoors A, Feelders RA, Corssmit EPM, Eekhoff EMW et al. Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality. Cancers. 2020 Sep 22;12(9):1-16. 2720. https://doi.org/10.3390/cancers12092720


BibTeX

@article{2424aaac8a2b4751a77c03e3bfe4f306,
title = "Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality",
abstract = "Adrenocortical carcinoma (ACC) has an incidence of about 1.0 per million per year. In general, survival of patients with ACC is limited. Predicting survival outcome at time of diagnosis is a clinical challenge. The aim of this study was to develop and internally validate a clinical prediction model for ACC-specific mortality. Data for this retrospective cohort study were obtained from the nine centers of the Dutch Adrenal Network (DAN). Patients who presented with ACC between 1 January 2004 and 31 October 2013 were included. We used multivariable Cox proportional hazards regression to compute the coefficients for the prediction model. Backward stepwise elimination was performed to derive a more parsimonious model. The performance of the initial prediction model was quantified by measures of model fit, discriminative ability, and calibration. We undertook an internal validation step to counteract the possible overfitting of our model. A total of 160 patients were included in the cohort. The median survival time was 35 months, and interquartile range (IQR) 50.7 months. The multivariable modeling yielded a prediction model that included age, modified European Network for the Study of Adrenal Tumors (mENSAT) stage, and radical resection. The c-statistic was 0.77 (95% Confidence Interval: 0.72, 0.81), indicating good predictive performance. We developed a clinical prediction model for ACC-specific mortality. ACC mortality can be estimated using a relatively simple clinical prediction model with good discriminative ability and calibration.",
author = "Ettaieb, {Madeleine H T} and {van Kuijk}, {Sander M J} and {de Wit-Pastoors}, Annelies and Feelders, {Richard A} and Corssmit, {Eleonora P M} and Eekhoff, {Elisabeth M W} and {van der Valk}, Paul and Timmers, {Henri J L M} and Kerstens, {Michiel N} and Heinz-Josef Kl{\"u}mpen and Leeuwaarde, {van Rachel S} and Bas Havekes and Haak, {Harm R}",
year = "2020",
month = sep,
day = "22",
doi = "10.3390/cancers12092720",
language = "English",
volume = "12",
pages = "1--16",
journal = "Cancers",
issn = "2072-6694",
publisher = "MDPI AG",
number = "9",

}

RIS

TY - JOUR

T1 - Development and Internal Validation of a Multivariable Prediction Model for Adrenocortical-Carcinoma-Specific Mortality

AU - Ettaieb, Madeleine H T

AU - van Kuijk, Sander M J

AU - de Wit-Pastoors, Annelies

AU - Feelders, Richard A

AU - Corssmit, Eleonora P M

AU - Eekhoff, Elisabeth M W

AU - van der Valk, Paul

AU - Timmers, Henri J L M

AU - Kerstens, Michiel N

AU - Klümpen, Heinz-Josef

AU - Leeuwaarde, van Rachel S

AU - Havekes, Bas

AU - Haak, Harm R

PY - 2020/9/22

Y1 - 2020/9/22

N2 - Adrenocortical carcinoma (ACC) has an incidence of about 1.0 per million per year. In general, survival of patients with ACC is limited. Predicting survival outcome at time of diagnosis is a clinical challenge. The aim of this study was to develop and internally validate a clinical prediction model for ACC-specific mortality. Data for this retrospective cohort study were obtained from the nine centers of the Dutch Adrenal Network (DAN). Patients who presented with ACC between 1 January 2004 and 31 October 2013 were included. We used multivariable Cox proportional hazards regression to compute the coefficients for the prediction model. Backward stepwise elimination was performed to derive a more parsimonious model. The performance of the initial prediction model was quantified by measures of model fit, discriminative ability, and calibration. We undertook an internal validation step to counteract the possible overfitting of our model. A total of 160 patients were included in the cohort. The median survival time was 35 months, and interquartile range (IQR) 50.7 months. The multivariable modeling yielded a prediction model that included age, modified European Network for the Study of Adrenal Tumors (mENSAT) stage, and radical resection. The c-statistic was 0.77 (95% Confidence Interval: 0.72, 0.81), indicating good predictive performance. We developed a clinical prediction model for ACC-specific mortality. ACC mortality can be estimated using a relatively simple clinical prediction model with good discriminative ability and calibration.

AB - Adrenocortical carcinoma (ACC) has an incidence of about 1.0 per million per year. In general, survival of patients with ACC is limited. Predicting survival outcome at time of diagnosis is a clinical challenge. The aim of this study was to develop and internally validate a clinical prediction model for ACC-specific mortality. Data for this retrospective cohort study were obtained from the nine centers of the Dutch Adrenal Network (DAN). Patients who presented with ACC between 1 January 2004 and 31 October 2013 were included. We used multivariable Cox proportional hazards regression to compute the coefficients for the prediction model. Backward stepwise elimination was performed to derive a more parsimonious model. The performance of the initial prediction model was quantified by measures of model fit, discriminative ability, and calibration. We undertook an internal validation step to counteract the possible overfitting of our model. A total of 160 patients were included in the cohort. The median survival time was 35 months, and interquartile range (IQR) 50.7 months. The multivariable modeling yielded a prediction model that included age, modified European Network for the Study of Adrenal Tumors (mENSAT) stage, and radical resection. The c-statistic was 0.77 (95% Confidence Interval: 0.72, 0.81), indicating good predictive performance. We developed a clinical prediction model for ACC-specific mortality. ACC mortality can be estimated using a relatively simple clinical prediction model with good discriminative ability and calibration.

U2 - 10.3390/cancers12092720

DO - 10.3390/cancers12092720

M3 - Article

C2 - 32971946

VL - 12

SP - 1

EP - 16

JO - Cancers

JF - Cancers

SN - 2072-6694

IS - 9

M1 - 2720

ER -

ID: 134748895