메뉴 건너뛰기




Volumn 3, Issue 3, 2007, Pages 475-484

Creating diagnostic scores using data-adaptive regression: An application to prediction of 30-day mortality among stroke victims in a rural hospital in India

Author keywords

Accuracy; Mortality; Prediction; Prognostic model; Stroke

Indexed keywords

ARTICLE; CEREBROVASCULAR ACCIDENT; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; HUMAN; INDIA; LOGISTIC REGRESSION ANALYSIS; MACHINE LEARNING; MORTALITY; OUTCOME ASSESSMENT; PREDICTION; PROGNOSIS; PROSPECTIVE STUDY; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; VALIDATION STUDY;

EID: 34547689814     PISSN: 11766336     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (20)

References (33)
  • 1
    • 0344299275 scopus 로고    scopus 로고
    • Baseline NIH Stroke Scale score strongly predicts outcome after stroke: A report of the Trial of Org 10 172 in Acute Stroke Treatment (TOAST)
    • Adams HPJ, Davis PH, Leira EC, et al. 1999. Baseline NIH Stroke Scale score strongly predicts outcome after stroke: a report of the Trial of Org 10 172 in Acute Stroke Treatment (TOAST). Neurology, 53:126-31.
    • (1999) Neurology , vol.53 , pp. 126-131
    • Adams, H.P.J.1    Davis, P.H.2    Leira, E.C.3
  • 2
    • 0021344270 scopus 로고
    • Predicting the outcome of acute stoke: A prognostic score
    • Allen CMC. 1984. Predicting the outcome of acute stoke: a prognostic score. J Neurology Neurosurgery, 47:475-80.
    • (1984) J Neurology Neurosurgery , vol.47 , pp. 475-480
    • Allen, C.M.C.1
  • 3
    • 0037268802 scopus 로고    scopus 로고
    • Poor accuracy of the Sidraj and Guy's hospital stroke scores in distinguishing haemorrhagic from ischaemic stroke in a rural, tertiary care hospital
    • Badam P, Solao V, Pai K et al. 2003. Poor accuracy of the Sidraj and Guy's hospital stroke scores in distinguishing haemorrhagic from ischaemic stroke in a rural, tertiary care hospital. Natl Med J India, 16:8-12.
    • (2003) Natl Med J India , vol.16 , pp. 8-12
    • Badam, P.1    Solao, V.2    Pai, K.3
  • 4
    • 0035973298 scopus 로고    scopus 로고
    • A three-item scale for the early prediction of stroke recovery
    • Baird AE, Dambrosia J, Janket S, et al. 2001. A three-item scale for the early prediction of stroke recovery. Lancet, 357:2095-9.
    • (2001) Lancet , vol.357 , pp. 2095-2099
    • Baird, A.E.1    Dambrosia, J.2    Janket, S.3
  • 5
    • 0024841576 scopus 로고
    • Continence after stroke: Useful predictor or goal of therapy?
    • Barer DH. 1989. Continence after stroke: useful predictor or goal of therapy? Age Ageing, 18:183-91.
    • (1989) Age Ageing , vol.18 , pp. 183-191
    • Barer, D.H.1
  • 6
    • 4344572350 scopus 로고    scopus 로고
    • Predictive value of routine hematological and biochemical parameters on 30-day fatality in acute stroke
    • Bhatia RS, Garg RK, Gaur SP, et al. 2004. Predictive value of routine hematological and biochemical parameters on 30-day fatality in acute stroke. Neurol India, 52:220-3.
    • (2004) Neurol India , vol.52 , pp. 220-223
    • Bhatia, R.S.1    Garg, R.K.2    Gaur, S.P.3
  • 8
    • 0344588816 scopus 로고    scopus 로고
    • Timing for fever-related brain damage in acute ischemic stroke
    • Castillo J, Davalos A, Marrugat J, et al. 1998. Timing for fever-related brain damage in acute ischemic stroke. Stroke, 29:2455-60.
    • (1998) Stroke , vol.29 , pp. 2455-2460
    • Castillo, J.1    Davalos, A.2    Marrugat, J.3
  • 9
    • 0036215525 scopus 로고    scopus 로고
    • Predicting outcome after acute and subacute stroke: Development and validation of new prognostic models
    • Counsell C, Dennis M, McDowall M, et al. 2002. Predicting outcome after acute and subacute stroke: Development and validation of new prognostic models. Stroke, 33:1041-7.
    • (2002) Stroke , vol.33 , pp. 1041-1047
    • Counsell, C.1    Dennis, M.2    McDowall, M.3
  • 10
    • 0023710206 scopus 로고
    • Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach
    • Delong ER, Delong DM, Clarke-Pearson DL. 1988. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics, 44:837-45.
    • (1988) Biometrics , vol.44 , pp. 837-845
    • Delong, E.R.1    Delong, D.M.2    Clarke-Pearson, D.L.3
  • 11
    • 10044248469 scopus 로고    scopus 로고
    • The impact of age, temperature, and parasite density on treatment outcomes from antimalarial clinical trials in Kampala, Uganda
    • Dorsey G, Gasasira AF, Machekano I, et al. 2004. The impact of age, temperature, and parasite density on treatment outcomes from antimalarial clinical trials in Kampala, Uganda. Am J Trop Med Hyg, 71:531-6.
    • (2004) Am J Trop Med Hyg , vol.71 , pp. 531-536
    • Dorsey, G.1    Gasasira, A.F.2    Machekano, I.3
  • 12
    • 0345599241 scopus 로고    scopus 로고
    • Predictors of death among long-term stroke survivors
    • Engstad T, Viitanen M, Arnesen E. 2003. Predictors of death among long-term stroke survivors. Stroke, 34:2876-80.
    • (2003) Stroke , vol.34 , pp. 2876-2880
    • Engstad, T.1    Viitanen, M.2    Arnesen, E.3
  • 13
    • 0002432565 scopus 로고
    • Multivariate adaptive regression splines
    • Friedman JH. 1991. Multivariate adaptive regression splines. Ann Stat, 19:1-67.
    • (1991) Ann Stat , vol.19 , pp. 1-67
    • Friedman, J.H.1
  • 14
    • 0033966133 scopus 로고    scopus 로고
    • Effects of poststroke pyrexia on stroke outcome: A meta-analysis of studies in patients
    • Hajat C, Hajat S, Sharma P. 2000. Effects of poststroke pyrexia on stroke outcome: a meta-analysis of studies in patients. Stroke, 31:410-14.
    • (2000) Stroke , vol.31 , pp. 410-414
    • Hajat, C.1    Hajat, S.2    Sharma, P.3
  • 15
    • 0028950561 scopus 로고
    • Early predictors of death and disability after acute cerebral ischemic event
    • Henon H, Godefroy O, Leys D, et al. 1995. Early predictors of death and disability after acute cerebral ischemic event. Stroke, 26:392-8.
    • (1995) Stroke , vol.26 , pp. 392-398
    • Henon, H.1    Godefroy, O.2    Leys, D.3
  • 16
    • 0036314491 scopus 로고    scopus 로고
    • Admission body temperature predicts long-term mortality after acute stroke: The Copenhagen Stroke Study
    • Kammersgaard LP, Jorgensen HS, Rungby JA, et al. 2002. Admission body temperature predicts long-term mortality after acute stroke: The Copenhagen Stroke Study. Stroke, 33:1759-62.
    • (2002) Stroke , vol.33 , pp. 1759-1762
    • Kammersgaard, L.P.1    Jorgensen, H.S.2    Rungby, J.A.3
  • 17
    • 0019483583 scopus 로고
    • Predictive correlation of urodynamic dysfunction and brain injury after cerebrovascular accident
    • Khan Z, Hertanu J, Yang WC, et al. 1981. Predictive correlation of urodynamic dysfunction and brain injury after cerebrovascular accident. J Urol, 126:86-8.
    • (1981) J Urol , vol.126 , pp. 86-88
    • Khan, Z.1    Hertanu, J.2    Yang, W.C.3
  • 20
    • 0016761948 scopus 로고
    • Predicting the outcome after stroke: Acute stage after cerebral infarction
    • Oxbury JM, Greenhal I RCD, Grainger KMR. 1975. Predicting the outcome after stroke: acute stage after cerebral infarction. BMJ, 3:125-127.
    • (1975) BMJ , vol.3 , pp. 125-127
    • Oxbury, J.M.1    Greenhal, I.R.2    Grainger, K.M.R.3
  • 21
    • 0030039285 scopus 로고    scopus 로고
    • Body temperature in acute stroke: Relation to stroke severity, infarct size, mortality, and outcome
    • Reith J, Jorgensen HS, Pedersen PM, et al. 1996. Body temperature in acute stroke: relation to stroke severity, infarct size, mortality, and outcome. Lancet, 347:422-5.
    • (1996) Lancet , vol.347 , pp. 422-425
    • Reith, J.1    Jorgensen, H.S.2    Pedersen, P.M.3
  • 22
    • 14644416380 scopus 로고    scopus 로고
    • Loss-based cross-validated deletion/ substitution/addition algorithms in estimation. 1968 to 1994
    • Working Paper 143 [online, Accessed on 24 April, 2005. URL
    • Sinisi SE, van der Laan M. 2004. Loss-based cross-validated deletion/ substitution/addition algorithms in estimation. 1968 to 1994. UC Berkeley Division of Biostatistics Working Paper Series. Working Paper 143 [online]. Accessed on 24 April, 2005. URL: http://www.bepress.com/ ucbbiostat/paper143.
    • (2004) UC Berkeley Division of Biostatistics Working Paper Series
    • Sinisi, S.E.1    van der Laan, M.2
  • 23
    • 0034061535 scopus 로고    scopus 로고
    • Early predictors of 30-day mortality in supratentorial ischemic stroke patients - first episode
    • Szczudiik A, Slowik X Turaj W, et al. 2000. Early predictors of 30-day mortality in supratentorial ischemic stroke patients - first episode. Med Sci Monit, 6:75-80.
    • (2000) Med Sci Monit , vol.6 , pp. 75-80
    • Szczudiik, A.1    Slowik, X.2    Turaj, W.3
  • 24
    • 0016391336 scopus 로고
    • Assessment of coma and impaired consciousness. A practical scale
    • Teasdale G, Jennett B. 1974. Assessment of coma and impaired consciousness. A practical scale. Lancet, 2:81-4.
    • (1974) Lancet , vol.2 , pp. 81-84
    • Teasdale, G.1    Jennett, B.2
  • 25
    • 0022407891 scopus 로고
    • Outlook after an acute stroke: Urinary incontinence and loss of consciousness compared in 532 patients
    • Wade DT, Hewer RL. 1985. Outlook after an acute stroke: urinary incontinence and loss of consciousness compared in 532 patients. Q J Med, 56:601-8.
    • (1985) Q J Med , vol.56 , pp. 601-608
    • Wade, D.T.1    Hewer, R.L.2
  • 26
    • 0038491229 scopus 로고    scopus 로고
    • Mortality and recovery after stroke in the Gambia
    • Walker RW, Rolfe M, Kelly PJ, et al. 2003. Mortality and recovery after stroke in the Gambia. Stroke, 34:1604-9.
    • (2003) Stroke , vol.34 , pp. 1604-1609
    • Walker, R.W.1    Rolfe, M.2    Kelly, P.J.3
  • 27
    • 0037480049 scopus 로고    scopus 로고
    • A prediction model of 1-year mortality for acute ischemic stroke patients
    • Wang Y, Lim LL, Heller RF, et al. 2003. A prediction model of 1-year mortality for acute ischemic stroke patients. Arch Phys Med Rehabil, 84:1006-11.
    • (2003) Arch Phys Med Rehabil , vol.84 , pp. 1006-1011
    • Wang, Y.1    Lim, L.L.2    Heller, R.F.3
  • 28
    • 0034894908 scopus 로고    scopus 로고
    • Aprognostic index for 30-day mortality after stroke
    • Wang Y, Lim LL, Levi C, et al. 2001. Aprognostic index for 30-day mortality after stroke. J Clin Epidemiol, 54:766-73.
    • (2001) J Clin Epidemiol , vol.54 , pp. 766-773
    • Wang, Y.1    Lim, L.L.2    Levi, C.3
  • 29
    • 0029816886 scopus 로고    scopus 로고
    • Incontinence after stroke in a rehabilitation setting: Outcome associations and predictive factors
    • Ween JE, Alexander MP, D'Esposito M, et al. 1996. Incontinence after stroke in a rehabilitation setting: outcome associations and predictive factors. Neurology, 47:659-63.
    • (1996) Neurology , vol.47 , pp. 659-663
    • Ween, J.E.1    Alexander, M.P.2    D'Esposito, M.3
  • 30
    • 0037257091 scopus 로고    scopus 로고
    • The prognostic value of the components of the Glasgow Coma Scale following acute stroke
    • Weir CJ, Bradford AP, Lees KR. 2003. The prognostic value of the components of the Glasgow Coma Scale following acute stroke. QJM, 96:67-74.
    • (2003) QJM , vol.96 , pp. 67-74
    • Weir, C.J.1    Bradford, A.P.2    Lees, K.R.3
  • 31
    • 0030966075 scopus 로고    scopus 로고
    • Is hyperglycaemia an independent predictor of poor outcome after acute stroke? Results of a long-term follow up study
    • Weir CJ, Murray GD, Dyker AG, et al. 1997. Is hyperglycaemia an independent predictor of poor outcome after acute stroke? Results of a long-term follow up study. BMJ, 314:1303-6.
    • (1997) BMJ , vol.314 , pp. 1303-1306
    • Weir, C.J.1    Murray, G.D.2    Dyker, A.G.3
  • 32
    • 0024748013 scopus 로고
    • Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders. Recommendations on stroke prevention, diagnosis, and therapy
    • World Health Organisation
    • [WHO] World Health Organisation. 1989. Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders. Recommendations on stroke prevention, diagnosis, and therapy. Stroke, 20:1407-10.
    • (1989) Stroke , vol.20 , pp. 1407-1410


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.