Prediction model for short-term mortality after palliative radiotherapy for patients having advanced cancer: a cohort study from routine electronic medical data

[1]  P. May,et al.  Improving palliative care with machine learning and routine data: a rapid review , 2019, HRB Open Research.

[2]  Jie Chen The prognostic analysis of different metastatic patterns in advanced liver cancer patients: A population based analysis , 2018, PloS one.

[3]  Sendhil Mullainathan,et al.  Predictive modeling of U.S. health care spending in late life , 2018, Science.

[4]  Takahiro Kimura,et al.  Multidisciplinary Approach for Bone Metastasis: A Review , 2018, Cancers.

[5]  A. Henry,et al.  Palliative radiotherapy , 2018, British Medical Journal.

[6]  György J. Simon,et al.  Development and Validation of Machine Learning Models for Prediction of 1-Year Mortality Utilizing Electronic Medical Record Data Available at the End of Hospitalization in Multicondition Patients: a Proof-of-Concept Study , 2018, Journal of General Internal Medicine.

[7]  J. Lagergren,et al.  The Charlson Comorbidity Index in Registry-based Research , 2017, Methods of Information in Medicine.

[8]  E. Bruera,et al.  Palliative radiation therapy in the last 30 days of life: A systematic review. , 2017, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[9]  W. Meurer,et al.  Logistic Regression Diagnostics: Understanding How Well a Model Predicts Outcomes , 2017, JAMA.

[10]  Jessika Schulze,et al.  Practical Radiotherapy Planning , 2016 .

[11]  Marzyeh Ghassemi,et al.  Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data , 2015, International journal of machine learning and computing.

[12]  A. Newsham,et al.  30 day mortality in adult palliative radiotherapy – A retrospective population based study of 14,972 treatment episodes , 2015, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[13]  J. Lester,et al.  Palliative radiotherapy regimens for patients with thoracic symptoms from non-small cell lung cancer. , 2015, The Cochrane database of systematic reviews.

[14]  Gary S Collins,et al.  Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): Explanation and Elaboration , 2015, Annals of Internal Medicine.

[15]  G. Collins,et al.  Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD): The TRIPOD Statement , 2015, Annals of Internal Medicine.

[16]  Joshua Jones,et al.  Role of radiation therapy in palliative care of the patient with cancer. , 2014, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[17]  J. Temel,et al.  Predicting life expectancy in patients with metastatic cancer receiving palliative radiotherapy: The TEACHH model , 2014, Cancer.

[18]  M. Williams,et al.  Routine clinical data predict survival after palliative radiotherapy: an opportunity to improve end of life care. , 2013, Clinical oncology (Royal College of Radiologists (Great Britain)).

[19]  Michael G. Kenward,et al.  Multiple Imputation and its Application: Carpenter/Multiple Imputation and its Application , 2013 .

[20]  Wenyaw Chan,et al.  Statistical Methods in Medical Research , 2013, Model. Assist. Stat. Appl..

[21]  Ewout W Steyerberg,et al.  Interpreting the concordance statistic of a logistic regression model: relation to the variance and odds ratio of a continuous explanatory variable , 2012, BMC Medical Research Methodology.

[22]  G. Lim,et al.  Measures of Diagnostic Accuracy: Sensitivity, Specificity, PPV and NPV , 2011 .

[23]  P. Stone,et al.  Development of Prognosis in Palliative care Study (PiPS) predictor models to improve prognostication in advanced cancer: prospective cohort study , 2011, BMJ : British Medical Journal.

[24]  Thomas J. Smith,et al.  American society of clinical oncology statement: toward individualized care for patients with advanced cancer. , 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[25]  E. Boelke,et al.  Palliative radiotherapy tailored to life expectancy in end‐stage cancer patients , 2010, Cancer.

[26]  M. Barton,et al.  Estimation of an optimal utilisation rate for palliative radiotherapy in newly diagnosed cancer patients. , 2010, Clinical oncology (Royal College of Radiologists (Great Britain)).

[27]  N. Obuchowski,et al.  Assessing the Performance of Prediction Models: A Framework for Traditional and Novel Measures , 2010, Epidemiology.

[28]  I. Tannock,et al.  Predictive model for survival in patients with advanced cancer. , 2008, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[29]  Paul Glare,et al.  Predicting survival in patients with advanced disease. , 2008, European journal of cancer.

[30]  L. Stalpers,et al.  Evaluation of 2 whole‐brain radiotherapy schedules and prognostic factors for brain metastases in breast cancer patients , 2007, Cancer.

[31]  W. Sze,et al.  Palliative radiotherapy trials for bone metastases: a systematic review. , 2007, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[32]  S. McCloskey,et al.  National Survey of Perspectives of Palliative Radiation Therapy: Role, Barriers, and Needs , 2007, Cancer journal.

[33]  L. Stalpers,et al.  Is Short-Course Radiotherapy with High Doses per Fraction the Appropriate Regimen for Metastatic Spinal Cord Compression in Colorectal Cancer Patients? , 2006, Strahlentherapie und Onkologie.

[34]  C. Willmott,et al.  Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance , 2005 .

[35]  John H Suh,et al.  Randomized trial of short- versus long-course radiotherapy for palliation of painful bone metastases. , 2005, Journal of the National Cancer Institute.

[36]  D. Ruppert The Elements of Statistical Learning: Data Mining, Inference, and Prediction , 2004 .

[37]  R. D'Agostino,et al.  Presentation of multivariate data for clinical use: The Framingham Study risk score functions , 2004, Statistics in medicine.

[38]  A. Ellis Breast , 2002, BMJ : British Medical Journal.

[39]  D. Purdie Statistical Methods in Medical Research, 4th edn , 2003 .

[40]  I. Tannock,et al.  A predictive model for survival in metastatic cancer patients attending an outpatient palliative radiotherapy clinic. , 2002, International journal of radiation oncology, biology, physics.

[41]  J. Finkelstein,et al.  How accurate are physicians' clinical predictions of survival and the available prognostic tools in estimating survival times in terminally ill cancer patients? A systematic review. , 2001, Clinical oncology (Royal College of Radiologists (Great Britain)).

[42]  S. Tyldesley,et al.  Factors affecting the use of palliative radiotherapy in Ontario. , 2001, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[43]  N. Christakis,et al.  Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study , 2000, BMJ : British Medical Journal.

[44]  N. Janjan An emerging respect for palliative care in radiation oncology. , 1998, Journal of palliative medicine.

[45]  D. Osoba,et al.  Quality of life in oncology practice: prognostic value of EORTC QLQ-C30 scores in patients with advanced malignancy. , 1997, European journal of cancer.

[46]  N. Christakis,et al.  Survival of Medicare patients after enrollment in hospice programs. , 1996, The New England journal of medicine.

[47]  H. Hansen,et al.  Long-term survival in small-cell lung cancer: posttreatment characteristics in patients surviving 5 to 18+ years--an analysis of 1,714 consecutive patients. , 1995, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[48]  P. Novotny,et al.  Prospective evaluation of prognostic variables from patient-completed questionnaires. North Central Cancer Treatment Group. , 1994, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[49]  R. A’Hern,et al.  Prediction of survival in a hospital-based continuing care unit. , 1994, European journal of cancer.

[50]  E J Maher,et al.  How long have I got doctor? , 1994, European journal of cancer.

[51]  K. Yonenobu,et al.  Breast cancer with bone‐only metastases. Visceral metastases‐free rate in relation to anatomic distribution of bone metastases , 1991, Cancer.

[52]  C. Vallejo,et al.  Bone‐Only Versus Visceral‐Only Metastatic Pattern in Breast Cancer: Analysis of 150 Patients A GOCS Study , 1990, American journal of clinical oncology.

[53]  E. DeLong,et al.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. , 1988, Biometrics.

[54]  L. Coia,et al.  Practice patterns of palliative care for the United States 1984-1985. , 1987, International journal of radiation oncology, biology, physics.

[55]  D. Rubin Multiple imputation for nonresponse in surveys , 1989 .

[56]  J. Hanley,et al.  The meaning and use of the area under a receiver operating characteristic (ROC) curve. , 1982, Radiology.

[57]  J. Habbema,et al.  The measurement of performance in probabilistic diagnosis. II. Trustworthiness of the exact values of the diagnostic probabilities. , 1978, Methods of information in medicine.

[58]  D. Cox Regression Models and Life-Tables , 1972 .

[59]  P. Armitage Statistical methods in medical research. , 1972 .