-
1
-
-
0033823960
-
Survival prediction in terminal cancer patients: A systematic review of the medical literature
-
A. Vigano, M. Dorgan, J. Buckingham, E. Bruera, and M.E. Suarez-Almazor Survival prediction in terminal cancer patients: a systematic review of the medical literature Palliat Med 14 2000 363 374
-
(2000)
Palliat Med
, vol.14
, pp. 363-374
-
-
Vigano, A.1
Dorgan, M.2
Buckingham, J.3
Bruera, E.4
Suarez-Almazor, M.E.5
-
2
-
-
0033623228
-
Terminal cancer: Duration and prediction of survival time
-
J. Llobera, M. Esteva, J. Rifá, E. Benito, J. Terrasa, and C. Rojas et al. Terminal cancer: duration and prediction of survival time Eur J Cancer 36 2000 2036 2043
-
(2000)
Eur J Cancer
, vol.36
, pp. 2036-2043
-
-
Llobera, J.1
Esteva, M.2
Rifá, J.3
Benito, E.4
Terrasa, J.5
Rojas, C.6
-
3
-
-
34548256854
-
Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression
-
S. Gripp, S. Moeller, E. Bölke, G. Schmitt, C. Matuschek, and S. Asgari et al. Survival prediction in terminally ill cancer patients by clinical estimates, laboratory tests, and self-rated anxiety and depression J Clin Oncol 25 2007 3313 3320
-
(2007)
J Clin Oncol
, vol.25
, pp. 3313-3320
-
-
Gripp, S.1
Moeller, S.2
Bölke, E.3
Schmitt, G.4
Matuschek, C.5
Asgari, S.6
-
4
-
-
0034685236
-
Extent and determinants of error in doctors' prognoses in terminally ill patients: Prospective cohort study
-
N.A. Christakis, and E.B. Lamont Extent and determinants of error in doctors' prognoses in terminally ill patients: prospective cohort study BMJ 320 2000 469 472
-
(2000)
BMJ
, vol.320
, pp. 469-472
-
-
Christakis, N.A.1
Lamont, E.B.2
-
5
-
-
0041669352
-
A systematic review of physicians' survival predictions in terminally ill cancer patients
-
G. Paul, V. Kiran, J. Mark, H. Malcolm, E. Steffen, and S. John et al. A systematic review of physicians' survival predictions in terminally ill cancer patients BMJ 327 2003 195 198
-
(2003)
BMJ
, vol.327
, pp. 195-198
-
-
Paul, G.1
Kiran, V.2
Mark, J.3
Malcolm, H.4
Steffen, E.5
John, S.6
-
6
-
-
0031046321
-
Measuring the accuracy of prognostic judgments in oncology
-
W.J. Mackillop, and C.F. Quirt Measuring the accuracy of prognostic judgments in oncology J Clin Epidemiol 50 1997 21 29
-
(1997)
J Clin Epidemiol
, vol.50
, pp. 21-29
-
-
Mackillop, W.J.1
Quirt, C.F.2
-
7
-
-
0030892967
-
Physicians' survival predictions for patients with acute congestive heart failure
-
R.M. Poses, W.R. Smith, and D.K. McClish Physicians' survival predictions for patients with acute congestive heart failure Arch Intern Med 157 1997 1001 1007
-
(1997)
Arch Intern Med
, vol.157
, pp. 1001-1007
-
-
Poses, R.M.1
Smith, W.R.2
McClish, D.K.3
-
8
-
-
0022619614
-
Providers as predictors: Using outcome predictions in intensive care
-
H.S. Perkins, A.R. Jonsen, and W.V. Epstein Providers as predictors: using outcome predictions in intensive care Crit Care Med 14 1986 105 114
-
(1986)
Crit Care Med
, vol.14
, pp. 105-114
-
-
Perkins, H.S.1
Jonsen, A.R.2
Epstein, W.V.3
-
9
-
-
42449097690
-
Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases
-
G.J. Escobar, J.D. Greene, P. Scheirer, M.N. Gardner, D. Draper, and P. Kipnis Risk-adjusting hospital inpatient mortality using automated inpatient, outpatient, and laboratory databases Med Care 46 2008 232 239
-
(2008)
Med Care
, vol.46
, pp. 232-239
-
-
Escobar, G.J.1
Greene, J.D.2
Scheirer, P.3
Gardner, M.N.4
Draper, D.5
Kipnis, P.6
-
10
-
-
33846021262
-
Enhancement of claims data to improve risk adjustment of hospital mortality
-
M. Pine, H.S. Jordan, A. Elixhauser, D.E. Fry, D.C. Hoaglin, and B. Jones et al. Enhancement of claims data to improve risk adjustment of hospital mortality JAMA 297 2007 71 76
-
(2007)
JAMA
, vol.297
, pp. 71-76
-
-
Pine, M.1
Jordan, H.S.2
Elixhauser, A.3
Fry, D.E.4
Hoaglin, D.C.5
Jones, B.6
-
11
-
-
0037791848
-
Automated intensive care unit risk adjustment: Results from a National Veterans Affairs study
-
VA ICU Project (VIP) Investigators
-
M.L. Render, H.M. Kim, D.E. Welsh, S. Timmons, J. Johnston, S. Hui VA ICU Project (VIP) Investigators Automated intensive care unit risk adjustment: results from a National Veterans Affairs study Crit Care Med 31 2003 1638 1646
-
(2003)
Crit Care Med
, vol.31
, pp. 1638-1646
-
-
Render, M.L.1
Kim, H.M.2
Welsh, D.E.3
Timmons, S.4
Johnston, J.5
Hui, S.6
-
12
-
-
80052951912
-
The Mortality Risk Score and the ADG Score: Two points-based scoring systems for the Johns Hopkins Aggregated Diagnosis Groups to predict mortality in a general adult population cohort in Ontario, Canada
-
P.C. Austin, and C. van Walraven The Mortality Risk Score and the ADG Score: two points-based scoring systems for the Johns Hopkins Aggregated Diagnosis Groups to predict mortality in a general adult population cohort in Ontario, Canada Med Care 49 2011 940 947
-
(2011)
Med Care
, vol.49
, pp. 940-947
-
-
Austin, P.C.1
Van Walraven, C.2
-
13
-
-
80052926364
-
Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada
-
P.C. Austin, C. van Walraven, W.P. Wodchis, A. Newman, and G.M. Anderson Using the Johns Hopkins Aggregated Diagnosis Groups (ADGs) to predict mortality in a general adult population cohort in Ontario, Canada Med Care 49 2011 932 939
-
(2011)
Med Care
, vol.49
, pp. 932-939
-
-
Austin, P.C.1
Van Walraven, C.2
Wodchis, W.P.3
Newman, A.4
Anderson, G.M.5
-
14
-
-
0025779766
-
Ambulatory care groups: A categorization of diagnoses for research and management
-
B. Starfield, J. Weiner, L. Mumford, and D. Steinwachs Ambulatory care groups: a categorization of diagnoses for research and management Health Serv Res 26 1991 53 74
-
(1991)
Health Serv Res
, vol.26
, pp. 53-74
-
-
Starfield, B.1
Weiner, J.2
Mumford, L.3
Steinwachs, D.4
-
15
-
-
0344420330
-
Predicting mortality among patients hospitalized for heart failure: Derivation and validation of a clinical model
-
D.S. Lee, P.C. Austin, J.L. Rouleau, P.P. Liu, D. Naimark, and J.V. Tu Predicting mortality among patients hospitalized for heart failure: derivation and validation of a clinical model JAMA 290 2003 2581 2587
-
(2003)
JAMA
, vol.290
, pp. 2581-2587
-
-
Lee, D.S.1
Austin, P.C.2
Rouleau, J.L.3
Liu, P.P.4
Naimark, D.5
Tu, J.V.6
-
16
-
-
81255141744
-
Predicting long-term mortality in older patients after non ST-segment elevation myocardial infarction: The CRUSADE long-term mortality model and risk score
-
M.T. Roe, A.Y. Chen, L. Thomas, T.Y. Wang, K.P. Alexander, and B.G. Hammill et al. Predicting long-term mortality in older patients after non ST-segment elevation myocardial infarction: the CRUSADE long-term mortality model and risk score Am Heart J 162 2011 875 883
-
(2011)
Am Heart J
, vol.162
, pp. 875-883
-
-
Roe, M.T.1
Chen, A.Y.2
Thomas, L.3
Wang, T.Y.4
Alexander, K.P.5
Hammill, B.G.6
-
18
-
-
0023092594
-
A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation
-
M.E. Charlson, P. Pompei, K.L. Ales, and C.R. MacKenzie A new method of classifying prognostic comorbidity in longitudinal studies: development and validation J Chronic Dis 40 1987 373 383
-
(1987)
J Chronic Dis
, vol.40
, pp. 373-383
-
-
Charlson, M.E.1
Pompei, P.2
Ales, K.L.3
Mackenzie, C.R.4
-
19
-
-
27744568384
-
Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data
-
H. Quan, V. Sundararajan, P. Halfon, A. Fong, B. Burnand, and J.C. Luthi et al. Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data Med Care 43 2005 1130 1139
-
(2005)
Med Care
, vol.43
, pp. 1130-1139
-
-
Quan, H.1
Sundararajan, V.2
Halfon, P.3
Fong, A.4
Burnand, B.5
Luthi, J.C.6
-
20
-
-
0042858411
-
Improved comorbidity adjustment for predicting mortality in Medicare populations
-
S. Schneeweiss, P.S. Wang, J. Avorn, and R.J. Glynn Improved comorbidity adjustment for predicting mortality in Medicare populations Health Serv Res 38 2003 1103 1120
-
(2003)
Health Serv Res
, vol.38
, pp. 1103-1120
-
-
Schneeweiss, S.1
Wang, P.S.2
Avorn, J.3
Glynn, R.J.4
-
21
-
-
0033474286
-
Building multivariable prognostic and diagnostic models: Transformation of the predictors by using fractional polynomials
-
W. Sauerbrei, and P. Royston Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials J R Stat Soc Ser A 162 1999 71 94
-
(1999)
J R Stat Soc ser A
, vol.162
, pp. 71-94
-
-
Sauerbrei, W.1
Royston, P.2
-
22
-
-
33646921786
-
Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs
-
W. Sauerbrei, C. Meier-Hirmer, A. Benner, and P. Royston Multivariable regression model building by using fractional polynomials: description of SAS, STATA and R programs Comput Stat Data Anal 50 2006 3464 3485
-
(2006)
Comput Stat Data Anal
, vol.50
, pp. 3464-3485
-
-
Sauerbrei, W.1
Meier-Hirmer, C.2
Benner, A.3
Royston, P.4
-
23
-
-
0011707884
-
-
Blackwell Science Malden, MA
-
P. Armitage, G. Berry, and J.N.S. Matthews Analysing variances, counts and other measures. Statistical methods in medical research 2002 Blackwell Science Malden, MA 147 164
-
(2002)
Analysing Variances, Counts and Other Measures. Statistical Methods in Medical Research
, pp. 147-164
-
-
Armitage, P.1
Berry, G.2
Matthews, J.N.S.3
-
24
-
-
0035143755
-
SNAP-II and SNAPPE-II: Simplified newborn illness severity and mortality risk scores
-
D.K. Richardson, J.D. Corcoran, G.J. Escobar, and S.K. Lee SNAP-II and SNAPPE-II: simplified newborn illness severity and mortality risk scores J Pediatr 138 2001 92 100
-
(2001)
J Pediatr
, vol.138
, pp. 92-100
-
-
Richardson, D.K.1
Corcoran, J.D.2
Escobar, G.J.3
Lee, S.K.4
-
25
-
-
2442682859
-
Presentation of multivariate data for clinical use: The Framingham study risk score functions
-
L.M. Sullivan, J.M. Massaro, and R.B. D'Agostino Sr. Presentation of multivariate data for clinical use: the Framingham study risk score functions Stat Med 23 2004 1631 1660
-
(2004)
Stat Med
, vol.23
, pp. 1631-1660
-
-
Sullivan, L.M.1
Massaro, J.M.2
D'Agostino, Sr.R.B.3
-
26
-
-
0030063940
-
A reader's guide to the evaluation of prognostic studies
-
C. van Walraven, and P.C. Hebert A reader's guide to the evaluation of prognostic studies Postgrad Med J 72 1996 6 11
-
(1996)
Postgrad Med J
, vol.72
, pp. 6-11
-
-
Van Walraven, C.1
Hebert, P.C.2
-
27
-
-
0033013499
-
A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data
-
S.M. Kieszak, W.D. Flanders, A.S. Kosinski, C.C. Shipp, and H. Karp A comparison of the Charlson comorbidity index derived from medical record data and administrative billing data J Clin Epidemiol 52 1999 137 142
-
(1999)
J Clin Epidemiol
, vol.52
, pp. 137-142
-
-
Kieszak, S.M.1
Flanders, W.D.2
Kosinski, A.S.3
Shipp, C.C.4
Karp, H.5
-
28
-
-
4043056671
-
Validity of procedure codes in International Classification of Diseases, 9th revision, clinical modification administrative data
-
H. Quan, G.A. Parsons, and W.A. Ghali Validity of procedure codes in International Classification of Diseases, 9th revision, clinical modification administrative data Med Care 42 2004 801 809
-
(2004)
Med Care
, vol.42
, pp. 801-809
-
-
Quan, H.1
Parsons, G.A.2
Ghali, W.A.3
-
29
-
-
33644878739
-
Influence of ejection fraction on cardiovascular outcomes in a broad spectrum of heart failure patients
-
Candesartan in Heart Failure Reduction in Mortality (CHARM) Investigators
-
S.D. Solomon, N. Anavekar, H. Skali, J.J.V. McMurray, K. Swedberg, S. Yusuf Candesartan in Heart Failure Reduction in Mortality (CHARM) Investigators Influence of ejection fraction on cardiovascular outcomes in a broad spectrum of heart failure patients Circulation 112 2005 3738 3744
-
(2005)
Circulation
, vol.112
, pp. 3738-3744
-
-
Solomon, S.D.1
Anavekar, N.2
Skali, H.3
McMurray, J.J.V.4
Swedberg, K.5
Yusuf, S.6
-
30
-
-
0018776388
-
Predictors of mortality in chronic obstructive pulmonary disease. A 15-year follow-up study
-
G.A. Traver, M.G. Cline, and B. Burrows Predictors of mortality in chronic obstructive pulmonary disease. A 15-year follow-up study Am Rev Respir Dis 119 1979 895 902
-
(1979)
Am Rev Respir Dis
, vol.119
, pp. 895-902
-
-
Traver, G.A.1
Cline, M.G.2
Burrows, B.3
-
31
-
-
84866331506
-
Predicting the risk of unplanned readmission or death within 30 days of discharge after a heart failure hospitalization
-
A.G. Au, F.A. McAlister, J.A. Bakal, J. Ezekowitz, P. Kaul, and C. van Walraven Predicting the risk of unplanned readmission or death within 30 days of discharge after a heart failure hospitalization Am Heart J 164 2012 365 372
-
(2012)
Am Heart J
, vol.164
, pp. 365-372
-
-
Au, A.G.1
McAlister, F.A.2
Bakal, J.A.3
Ezekowitz, J.4
Kaul, P.5
Van Walraven, C.6
-
32
-
-
84867800882
-
Predicting readmissions: Poor performance of the LACE index in an older UK population
-
P.E. Cotter, V.K. Bhalla, S.J. Wallis, and R.W.S. Biram Predicting readmissions: poor performance of the LACE index in an older UK population Age Ageing 41 2012 784 789
-
(2012)
Age Ageing
, vol.41
, pp. 784-789
-
-
Cotter, P.E.1
Bhalla, V.K.2
Wallis, S.J.3
Biram, R.W.S.4
|