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Volumn 357, Issue , 2017, Pages

Development and validation of risk prediction equations to estimate survival in patients with colorectal cancer: Cohort study

Author keywords

[No Author keywords available]

Indexed keywords

ACETYLSALICYLIC ACID; ANTINEOPLASTIC AGENT; HYDROXYMETHYLGLUTARYL COENZYME A REDUCTASE INHIBITOR;

EID: 85020864284     PISSN: 09598146     EISSN: 17561833     Source Type: Journal    
DOI: 10.1136/bmj.j2497     Document Type: Article
Times cited : (52)

References (51)
  • 1
    • 84938595155 scopus 로고    scopus 로고
    • Providing clinicians and patients with actual prognosis: Cancer in the context of competing causes of death
    • Howlader N, Mariotto AB, Woloshin S, Schwartz LM. Providing clinicians and patients with actual prognosis: cancer in the context of competing causes of death. J Natl Cancer Inst Monogr 2014;2014:255-64. doi:10.1093/jncimonographs/lgu022.
    • (2014) J Natl Cancer Inst Monogr , vol.2014 , pp. 255-264
    • Howlader, N.1    Mariotto, A.B.2    Woloshin, S.3    Schwartz, L.M.4
  • 2
    • 85020869600 scopus 로고    scopus 로고
    • Cancer Research UK. Bowel Cancer Survival Statistics London accessed 03.12.2015 2015
    • Cancer Research UK. Bowel Cancer Survival Statistics London 2015 http://www.cancerresearchuk.org/health-professional/cancerstatistics/ statistics-by-cancer-type/bowel-cancer/survival accessed 03.12.2015 2015.
    • (2015)
  • 3
    • 80052472118 scopus 로고    scopus 로고
    • Prognostic web-based models for stage II and III colon cancer: A population and clinical trials-based validation of numeracy and adjuvant! online
    • Gill S, Loprinzi C, Kennecke H, et al. Prognostic web-based models for stage II and III colon cancer: A population and clinical trials-based validation of numeracy and adjuvant! online. Cancer 2011;117:4155-65. doi:10.1002/cncr.26003.
    • (2011) Cancer , vol.117 , pp. 4155-4165
    • Gill, S.1    Loprinzi, C.2    Kennecke, H.3
  • 5
    • 84930732973 scopus 로고    scopus 로고
    • Adjuvant Colon Cancer Endpoints (ACCENT) Group. ACCENT-based web calculators to predict recurrence and overall survival in stage III colon cancer
    • Renfro LA, Grothey A, Xue Y, et al. Adjuvant Colon Cancer Endpoints (ACCENT) Group. ACCENT-based web calculators to predict recurrence and overall survival in stage III colon cancer. J Natl Cancer Inst 2014;106:dju333. doi:10.1093/jnci/dju333.
    • (2014) J Natl Cancer Inst , vol.106 , pp. dju333
    • Renfro, L.A.1    Grothey, A.2    Xue, Y.3
  • 6
    • 84555197163 scopus 로고    scopus 로고
    • Predicting survival after curative colectomy for cancer: Individualizing colon cancer staging
    • Weiser MR, G'nen M, Chou JF, Kattan MW, Schrag D. Predicting survival after curative colectomy for cancer: individualizing colon cancer staging. J Clin Oncol 2011;29:4796-802. doi:10.1200/ JCO.2011.36.5080.
    • (2011) J Clin Oncol , vol.29 , pp. 4796-4802
    • Weiser, M.R.1    G'Nen, M.2    Chou, J.F.3    Kattan, M.W.4    Schrag, D.5
  • 7
    • 85009060680 scopus 로고    scopus 로고
    • Treatment targeted at underlying disease versus palliative care in terminally ill patients: A systematic review
    • Reljic T, Kumar A, Klocksieben FA, Djulbegovic B. Treatment targeted at underlying disease versus palliative care in terminally ill patients: a systematic review. BMJ Open 2017;7:e014661. doi:10.1136/ bmjopen-2016-014661.
    • (2017) BMJ Open , vol.7 , pp. e014661
    • Reljic, T.1    Kumar, A.2    Klocksieben, F.A.3    Djulbegovic, B.4
  • 8
    • 84995451012 scopus 로고    scopus 로고
    • Cancer drugs, survival, and ethics
    • Wise PH. Cancer drugs, survival, and ethics. BMJ 2016;355:i5792. doi:10.1136/bmj.i5792.
    • (2016) BMJ , vol.355 , pp. i5792
    • Wise, P.H.1
  • 9
    • 35448944004 scopus 로고    scopus 로고
    • Truth-telling in discussing prognosis in advanced life-limiting illnesses: A systematic review
    • Hancock K, Clayton JM, Parker SM, et al. Truth-telling in discussing prognosis in advanced life-limiting illnesses: a systematic review. Palliat Med 2007;21:507-17. doi:10.1177/0269216307080823.
    • (2007) Palliat Med , vol.21 , pp. 507-517
    • Hancock, K.1    Clayton, J.M.2    Parker, S.M.3
  • 10
    • 73349097906 scopus 로고    scopus 로고
    • Practical application of a calculator for conditional survival in colon cancer
    • Chang GJ, Hu CY, Eng C, Skibber JM, Rodriguez-Bigas MA. Practical application of a calculator for conditional survival in colon cancer. J Clin Oncol 2009;27:5938-43. doi:10.1200/JCO.2009.23.1860.
    • (2009) J Clin Oncol , vol.27 , pp. 5938-5943
    • Chang, G.J.1    Hu, C.Y.2    Eng, C.3    Skibber, J.M.4    Rodriguez-Bigas, M.A.5
  • 11
    • 47149088261 scopus 로고    scopus 로고
    • Predicting cardiovascular risk in England and Wales: Prospective derivation and validation of qrisk2
    • Hippisley-Cox J, Coupland C, Vinogradova Y, et al. Predicting cardiovascular risk in England and Wales: prospective derivation and validation of QRISK2. BMJ 2008;336:1475-82.
    • (2008) BMJ , vol.336 , pp. 1475-1482
    • Hippisley-Cox, J.1    Coupland, C.2    Vinogradova, Y.3
  • 12
    • 84855663436 scopus 로고    scopus 로고
    • Identifying patients with suspected colorectal cancer in primary care: Derivation and validation of an algorithm
    • Hippisley-Cox J, Coupland C. Identifying patients with suspected colorectal cancer in primary care: derivation and validation of an algorithm. Br J Gen Pract 2012;62:e29-37. doi:10.3399/ bjgp12X616346.
    • (2012) Br J Gen Pract , vol.62 , pp. e29-37
    • Hippisley-Cox, J.1    Coupland, C.2
  • 13
    • 84926468626 scopus 로고    scopus 로고
    • Development and validation of risk prediction algorithms to estimate future risk of common cancers in men and women: Prospective cohort study
    • Hippisley-Cox J, Coupland C. Development and validation of risk prediction algorithms to estimate future risk of common cancers in men and women: prospective cohort study. BMJ Open 2015;5:e007825. doi:10.1136/bmjopen-2015-007825.
    • (2015) BMJ Open , vol.5 , pp. e007825
    • Hippisley-Cox, J.1    Coupland, C.2
  • 14
    • 79151478658 scopus 로고    scopus 로고
    • Icbp module 1 working group. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995-2007 (the international cancer benchmarking partnership): An analysis of population-based cancer registry data
    • Coleman MP, Forman D, Bryant H, et al. ICBP Module 1 Working Group. Cancer survival in Australia, Canada, Denmark, Norway, Sweden, and the UK, 1995-2007 (the International Cancer Benchmarking Partnership): an analysis of population-based cancer registry data. Lancet 2011;377:127-38. doi:10.1016/S0140-6736(10)62231-3.
    • (2011) Lancet , vol.377 , pp. 127-138
    • Coleman, M.P.1    Forman, D.2    Bryant, H.3
  • 15
    • 85027947063 scopus 로고    scopus 로고
    • Stage at diagnosis and early mortality from cancer in England
    • McPhail S, Johnson S, Greenberg D, Peake M, Rous B. Stage at diagnosis and early mortality from cancer in England. Br J Cancer 2015;112(Suppl 1):S108-15. doi:10.1038/bjc.2015.49.
    • (2015) Br J Cancer , vol.112 , pp. S108-S115
    • McPhail, S.1    Johnson, S.2    Greenberg, D.3    Peake, M.4    Rous, B.5
  • 16
    • 84877358772 scopus 로고    scopus 로고
    • ICBP Module 1 Working Group. Stage at diagnosis and colorectal cancer survival in six high-income countries: A population-based study of patients diagnosed during 2000-2007
    • Maringe C, Walters S, Rachet B, et al. ICBP Module 1 Working Group. Stage at diagnosis and colorectal cancer survival in six high-income countries: a population-based study of patients diagnosed during 2000-2007. Acta Oncol 2013;52:919-32. doi:10.3109/02841 86X.2013.764008.
    • (2013) Acta Oncol , vol.52 , pp. 919-932
    • Maringe, C.1    Walters, S.2    Rachet, B.3
  • 18
    • 84931264369 scopus 로고    scopus 로고
    • Relationship between the use of statins and patient survival in colorectal cancer: A systematic review and meta-analysis
    • Cai H, Zhang G, Wang Z, Luo Z, Zhou X. Relationship between the use of statins and patient survival in colorectal cancer: a systematic review and meta-analysis. PLoS One 2015;10:e0126944. doi:10.1371/ journal.pone.0126944.
    • (2015) PLoS One , vol.10 , pp. e0126944
    • Cai, H.1    Zhang, G.2    Wang, Z.3    Luo, Z.4    Zhou, X.5
  • 19
    • 84868550230 scopus 로고    scopus 로고
    • Statin use and reduced cancer-related mortality
    • Nielsen SF, Nordestgaard BG, Bojesen SE. Statin use and reduced cancer-related mortality. N Engl J Med 2012;367:1792-802. doi:10.1056/NEJMoa1201735.
    • (2012) N Engl J Med , vol.367 , pp. 1792-1802
    • Nielsen, S.F.1    Nordestgaard, B.G.2    Bojesen, S.E.3
  • 20
    • 84860250352 scopus 로고    scopus 로고
    • Use of aspirin postdiagnosis improves survival for colon cancer patients
    • Bastiaannet E, Sampieri K, Dekkers OM, et al. Use of aspirin postdiagnosis improves survival for colon cancer patients. Br J Cancer 2012;106:1564-70. doi:10.1038/bjc.2012.101.
    • (2012) Br J Cancer , vol.106 , pp. 1564-1570
    • Bastiaannet, E.1    Sampieri, K.2    Dekkers, O.M.3
  • 21
    • 84978208271 scopus 로고    scopus 로고
    • Aspirin as secondary prevention in patients with colorectal cancer: An unselected population-based study
    • Bains SJ, Mahic M, Myklebust T, et al. Aspirin As Secondary Prevention in Patients With Colorectal Cancer: An Unselected Population-Based Study. J Clin Oncol 2016;34:2501-8. doi:10.1200/JCO.2015.65.3519.
    • (2016) J Clin Oncol , vol.34 , pp. 2501-2508
    • Bains, S.J.1    Mahic, M.2    Myklebust, T.3
  • 22
    • 84884584280 scopus 로고    scopus 로고
    • Predicting risk of emergency admission to hospital using primary care data: Derivation and validation of QAdmissions score
    • Hippisley-Cox J, Coupland C. Predicting risk of emergency admission to hospital using primary care data: derivation and validation of QAdmissions score. BMJ Open 2013;3:e003482. doi:10.1136/ bmjopen-2013-003482.
    • (2013) BMJ Open , vol.3 , pp. e003482
    • Hippisley-Cox, J.1    Coupland, C.2
  • 24
    • 34547662843 scopus 로고    scopus 로고
    • Imputation is beneficial for handling missing data in predictive models
    • Steyerberg EW, van Veen M. Imputation is beneficial for handling missing data in predictive models. J Clin Epidemiol 2007;60:979. doi:10.1016/j.jclinepi.2007.03.003.
    • (2007) J Clin Epidemiol , vol.60 , pp. 979
    • Steyerberg, E.W.1    Van Veen, M.2
  • 25
    • 33748709502 scopus 로고    scopus 로고
    • Using the outcome for imputation of missing predictor values was preferred
    • Moons KGM, Donders RART, Stijnen T, Harrell FE Jr. Using the outcome for imputation of missing predictor values was preferred. J Clin Epidemiol 2006;59:1092-101. doi:10.1016/j.jclinepi.2006.01.009.
    • (2006) J Clin Epidemiol , vol.59 , pp. 1092-1101
    • Moons, K.G.M.1    Donders, R.A.R.T.2    Stijnen, T.3    Harrell, F.E.J.R.4
  • 26
    • 85047673373 scopus 로고    scopus 로고
    • Missing data: Our view of the state of the art
    • Schafer JL, Graham JW. Missing data: our view of the state of the art. Psychol Methods 2002;7:147-77. doi:10.1037/1082-989X.7.2.147.
    • (2002) Psychol Methods , vol.7 , pp. 147-177
    • Schafer, J.L.1    Graham, J.W.2
  • 27
    • 69949108828 scopus 로고    scopus 로고
    • Imputing missing covariate values for the Cox model
    • White IR, Royston P. Imputing missing covariate values for the Cox model. Stat Med 2009;28:1982-98.
    • (2009) Stat Med , vol.28 , pp. 1982-1998
    • White, I.R.1    Royston, P.2
  • 28
    • 0032717032 scopus 로고    scopus 로고
    • The use of fractional polynomials to model continuous risk variables in epidemiology
    • Royston P, Ambler G, Sauerbrei W. The use of fractional polynomials to model continuous risk variables in epidemiology. Int J Epidemiol 1999;28:964-74. doi:10.1093/ije/28.5.964.
    • (1999) Int J Epidemiol , vol.28 , pp. 964-974
    • Royston, P.1    Ambler, G.2    Sauerbrei, W.3
  • 31
    • 84927646214 scopus 로고    scopus 로고
    • Conditional Survival: A Useful Concept to Provide Information on How Prognosis Evolves over Time
    • Hieke S, Kleber M, Konig C, Engelhardt M, Schumacher M. Conditional Survival: A Useful Concept to Provide Information on How Prognosis Evolves over Time. Clin Cancer Res 2015;21:1530-6. doi:10.1158/1078-0432.CCR-14-2154.
    • (2015) Clin Cancer Res , vol.21 , pp. 1530-1536
    • Hieke, S.1    Kleber, M.2    Konig, C.3    Engelhardt, M.4    Schumacher, M.5
  • 32
    • 79959728931 scopus 로고    scopus 로고
    • Landmark analysis at the 25-year landmark point
    • Dafni U. Landmark analysis at the 25-year landmark point. Circ Cardiovasc Qual Outcomes 2011;4:363-71. doi: 10.1161/ CIRCOUTCOMES.110.957951.
    • (2011) Circ Cardiovasc Qual Outcomes , vol.4 , pp. 363-371
    • Dafni, U.1
  • 33
    • 50449205260 scopus 로고    scopus 로고
    • Analysis of survival by tumor response and other comparisons of time-to-event by outcome variables
    • Anderson JR, Cain KC, Gelber RD. Analysis of survival by tumor response and other comparisons of time-to-event by outcome variables. J Clin Oncol 2008;26:3913-5. doi:10.1200/ JCO.2008.16.1000.
    • (2008) J Clin Oncol , vol.26 , pp. 3913-3915
    • Anderson, J.R.1    Cain, K.C.2    Gelber, R.D.3
  • 34
    • 33646515606 scopus 로고    scopus 로고
    • Explained variation for survival models
    • Royston P. Explained variation for survival models. Stata J 2006;6:1-14.
    • (2006) Stata J , vol.6 , pp. 1-14
    • Royston, P.1
  • 35
    • 1442351098 scopus 로고    scopus 로고
    • A new measure of prognostic separation in survival data
    • Royston P, Sauerbrei W. A new measure of prognostic separation in survival data. Stat Med 2004;23:723-48. doi:10.1002/sim.1621.
    • (2004) Stat Med , vol.23 , pp. 723-748
    • Royston, P.1    Sauerbrei, W.2
  • 36
    • 0030069896 scopus 로고    scopus 로고
    • Multivariable prognostic models: Issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • Harrell FE Jr, , Lee KL, Mark DB. Multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Stat Med 1996;15:361-87. doi:10.1002/ (SICI)1097-0258(19960229)15:4361::AID-SIM1683.0.CO;2-4.
    • (1996) Stat Med , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 37
    • 33750065431 scopus 로고    scopus 로고
    • Cumulative incidence estimation in the presence of competing risks
    • Coviello V, Boggess M. Cumulative incidence estimation in the presence of competing risks. Stata J 2004;4:103-12.
    • (2004) Stata J , vol.4 , pp. 103-112
    • Coviello, V.1    Boggess, M.2
  • 38
    • 84925450175 scopus 로고    scopus 로고
    • Concord working group. Global surveillance of cancer survival 1995-2009: Analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (concord-2)
    • Allemani C, Weir HK, Carreira H, et al. CONCORD Working Group. Global surveillance of cancer survival 1995-2009: analysis of individual data for 25,676,887 patients from 279 population-based registries in 67 countries (CONCORD-2). Lancet 2015;385:977-1010. doi:10.1016/S0140-6736(14)62038-9.
    • (2015) Lancet , vol.385 , pp. 977-1010
    • Allemani, C.1    Weir, H.K.2    Carreira, H.3
  • 39
    • 84867072747 scopus 로고    scopus 로고
    • Conditional survival of cancer patients: An Australian perspective
    • Yu XQ, Baade PD, O'Connell DL. Conditional survival of cancer patients: an Australian perspective. BMC Cancer 2012;12:460. doi:10.1186/1471-2407-12-460.
    • (2012) BMC Cancer , vol.12 , pp. 460
    • Yu, X.Q.1    Baade, P.D.2    O'Connell, D.L.3
  • 40
    • 73849094087 scopus 로고    scopus 로고
    • Assessing the performance of prediction models: A framework for traditional and novel measures
    • Steyerberg EW, Vickers AJ, Cook NR, et al. Assessing the performance of prediction models: a framework for traditional and novel measures. Epidemiology 2010;21:128-38. doi:10.1097/EDE.0b013e3181c30fb2.
    • (2010) Epidemiology , vol.21 , pp. 128-138
    • Steyerberg, E.W.1    Vickers, A.J.2    Cook, N.R.3
  • 41
    • 84959328652 scopus 로고    scopus 로고
    • Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests
    • Vickers AJ, Van Calster B, Steyerberg EW. Net benefit approaches to the evaluation of prediction models, molecular markers, and diagnostic tests. BMJ 2016;352:i6. doi:10.1136/bmj.i6.
    • (2016) BMJ , vol.352 , pp. i6
    • Vickers, A.J.1    Van Calster, B.2    Steyerberg, E.W.3
  • 42
    • 33750905259 scopus 로고    scopus 로고
    • Decision curve analysis: A novel method for evaluating prediction models
    • Vickers AJ, Elkin EB. Decision curve analysis: a novel method for evaluating prediction models. Med Decis Making 2006;26:565-74. doi:10.1177/0272989X06295361.
    • (2006) Med Decis Making , vol.26 , pp. 565-574
    • Vickers, A.J.1    Elkin, E.B.2
  • 43
    • 84923923813 scopus 로고    scopus 로고
    • Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): The TRIPOD statement
    • Collins GS, Reitsma JB, Altman DG, Moons KG. Transparent Reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement. Ann Intern Med 2015;162:55-63. doi:10.7326/M14-0697.
    • (2015) Ann Intern Med , vol.162 , pp. 55-63
    • Collins, G.S.1    Reitsma, J.B.2    Altman, D.G.3    Moons, K.G.4
  • 45
    • 5344238942 scopus 로고    scopus 로고
    • Standard cancer patient population for age standardising survival ratios
    • Corazziari I, Quinn M, Capocaccia R. Standard cancer patient population for age standardising survival ratios. Eur J Cancer 2004;40:2307-16.
    • (2004) Eur J Cancer , vol.40 , pp. 2307-2316
    • Corazziari, I.1    Quinn, M.2    Capocaccia, R.3
  • 46
    • 33947503266 scopus 로고    scopus 로고
    • Conditional survival in head and neck squamous cell carcinoma: Results from the SEER dataset 1973-1998
    • Fuller CD, Wang SJ, Thomas CR Jr, , Hoffman HT, Weber RS, Rosenthal DI. Conditional survival in head and neck squamous cell carcinoma: results from the SEER dataset 1973-1998. Cancer 2007;109:1331-43. doi:10.1002/cncr.22563.
    • (2007) Cancer , vol.109 , pp. 1331-1343
    • Fuller, C.D.1    Wang, S.J.2    Hoffman, H.T.3    Weber, R.S.4    Rosenthal, D.I.5
  • 47
    • 84864027683 scopus 로고    scopus 로고
    • Effect of adjuvant chemotherapy on survival of patients with stage III colon cancer diagnosed after age 75 years
    • Sanoff HK, Carpenter WR, Stormer T, et al. Effect of adjuvant chemotherapy on survival of patients with stage III colon cancer diagnosed after age 75 years. J Clin Oncol 2012;30:2624-34. doi:10.1200/JCO.2011.41.1140.
    • (2012) J Clin Oncol , vol.30 , pp. 2624-2634
    • Sanoff, H.K.1    Carpenter, W.R.2    Stormer, T.3
  • 48
    • 0035846320 scopus 로고    scopus 로고
    • A pooled analysis of adjuvant chemotherapy for resected colon cancer in elderly patients
    • Sargent DJ, Goldberg RM, Jacobson SD, et al. A pooled analysis of adjuvant chemotherapy for resected colon cancer in elderly patients. N Engl J Med 2001;345:1091-7. doi:10.1056/NEJMoa010957.
    • (2001) N Engl J Med , vol.345 , pp. 1091-1097
    • Sargent, D.J.1    Goldberg, R.M.2    Jacobson, S.D.3
  • 49
    • 78651392469 scopus 로고    scopus 로고
    • Derivation, validation, and evaluation of a new qrisk model to estimate lifetime risk of cardiovascular disease: Cohort study using qresearch database
    • Hippisley-Cox J, Coupland C, Robson J, Brindle P. Derivation, validation, and evaluation of a new QRISK model to estimate lifetime risk of cardiovascular disease: cohort study using QResearch database. BMJ 2010;341:c6624. doi:10.1136/bmj.c6624.
    • (2010) BMJ , vol.341 , pp. c6624
    • Hippisley-Cox, J.1    Coupland, C.2    Robson, J.3    Brindle, P.4
  • 50
    • 10644297685 scopus 로고    scopus 로고
    • Sources, uses, strengths and limitations of data collected in primary care in England
    • Majeed A. Sources, uses, strengths and limitations of data collected in primary care in England. Health Stat Q 2004;(21):5-14.
    • (2004) Health Stat Q , Issue.21 , pp. 5-14
    • Majeed, A.1
  • 51
    • 77952738521 scopus 로고    scopus 로고
    • Measuring cancer survival in populations: Relative survival vs cancer-specific survival
    • Sarfati D, Blakely T, Pearce N. Measuring cancer survival in populations: relative survival vs cancer-specific survival. Int J Epidemiol 2010;39:598-610. doi:10.1093/ije/dyp392.
    • (2010) Int J Epidemiol , vol.39 , pp. 598-610
    • Sarfati, D.1    Blakely, T.2    Pearce, N.3


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