Prognostic study of continuous variables (white blood cell count, peripheral blast cell count, haemoglobin level, platelet count and age) in childhood acute lymphoblastic leukaemia. Analysis of a population of 1545 children treated by the French acute Lymphoblastic Leukaemia Group (FRALLE)

被引:35
作者
Donadieu, J
Auclerc, MF
Baruchel, A
Perel, Y
Bordigoni, P
Landman-Parker, J
Leblanc, T
Cornu, G
Sommelet, D
Leverger, G
Schaison, G
Hill, C
机构
[1] Inst Gustave Roussy, Dept Biostat & Epidemiol, F-94800 Villejuif, France
[2] Hop Trousseau, Serv Hematooncol Pediat, F-75571 Paris, France
[3] Hop St Louis, Serv Hematol Pediat, Paris, France
[4] Hop Pellegrin, Unite Hematooncol Pediat, F-33076 Bordeaux, France
[5] Hop De Brabois, Serv Med Infantile 2, Vandoeuvre Les Nancy, France
[6] Clin Univ St Luc, Serv Hematol Pediat, B-1200 Brussels, Belgium
关键词
acute lymphoblastic leukaemia; childhood; prognostic factors; continuous variable; cutpoint;
D O I
10.1054/bjoc.2000.1504
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Many cutpoints have been proposed to categorize continuous variables in childhood acute lymphoblastic leukaemia (white blood cell count, peripheral blast cell count, haemoglobin level, platelet count and age), and have been used to define therapeutic subgroups. This variation in the choice of cutpoints leads to a bias called the 'Will Rogers phenomenon'. The aim of this study was to analyse variations in the relative risk of relapse or death as a function of continuous prognostic variables in childhood ALL and to discuss the choice of cutpoints. We studied a population of 1545 children with ALL enrolled in three consecutive protocols named FRALLE 83, FRALLE 87 and FRALLE 89. We estimated the risk of relapse or death associated with different values of each continuous prognostic variable by dividing the sample into quintiles of the distribution of the variables. As regards age, a category of children under 1 year of age was distinguished and the rest of the population was divided into quintiles. The floated variance method was used to calculate the confidence interval of each relative risk, including the reference category. The relation between the quantitative prognostic factors and the risk was monotonic for each variable, except for age. for the white blood cell count (WBC), the relation is log linear. The risk associated with WBC values in the upper quintile was 1.9 times higher than that in the lower quintile. The peripheral blast cell count correlated strongly with WBC (correlation coefficient: 0.99). The risk increased with the haemoglobin level, and the risk in the upper quintile was 1.3 times higher than that in the lower quintile. The risk decreased as the platelet count increased: the risk in the lower quintile was 1.2 times higher than that in the upper quintile. The risk increased gradually with increasing age above one year. The small subgroup of patients (2.5% of the population) under 1 year of age at diagnosis had a risk 2.6 times higher than the reference category of patients between 3 and 4.3 years of age. When the risk associated with a quantitative prognostic factor varies monotonously, the selection of a cutpoint is arbitrary and represents a loss of information. Despite this loss of information, such arbitrary categorization may be necessary to define therapeutic stratification. In that case, consensus cutpoints must be defined if one wants to avoid the Will Rogers phenomenon. The cutpoints proposed by the Rome workshop and the NCI are arbitrary, but may represent an acceptable convention. (C) 2000 Cancer Research Campaign.
引用
收藏
页码:1617 / 1622
页数:6
相关论文
共 28 条
[1]   DANGERS OF USING OPTIMAL CUTPOINTS IN THE EVALUATION OF PROGNOSTIC FACTORS [J].
ALTMAN, DG ;
LAUSEN, B ;
SAUERBREI, W ;
SCHUMACHER, M .
JOURNAL OF THE NATIONAL CANCER INSTITUTE, 1994, 86 (11) :829-835
[2]   THE STAGING OF CHILDHOOD ACUTE LYMPHOBLASTIC-LEUKEMIA - STRATEGIES OF THE CHILDRENS CANCER STUDY-GROUP AND A 3-DIMENSIONAL TECHNIQUE OF MULTIVARIATE-ANALYSIS [J].
BLEYER, WA ;
SATHER, H ;
COCCIA, P ;
LUKENS, J ;
SIEGEL, S ;
HAMMOND, GD .
MEDICAL AND PEDIATRIC ONCOLOGY, 1986, 14 (05) :271-280
[3]  
BLEYER WA, 1989, AM J PEDIAT HEMATOL, V11, P371
[4]   ACUTE LYMPHOBLASTIC-LEUKEMIA OF INFANCY - RESULTS IN 5 MULTICENTRIC THERAPY STUDIES ALL-BFM 1970-1986 [J].
BUCSKY, P ;
REITER, A ;
RITTER, J ;
DOPFER, R ;
RIEHM, H .
KLINISCHE PADIATRIE, 1988, 200 (03) :177-183
[5]   INTENSIFICATION OF TREATMENT AND SURVIVAL IN ALL CHILDREN WITH LYMPHOBLASTIC-LEUKEMIA - RESULTS OF UK MEDICAL-RESEARCH-COUNCIL TRIAL UKALL-X [J].
CHESSELLS, JM ;
BAILEY, C ;
RICHARDS, SM ;
EDEN, OB ;
BARBOR, PRH ;
BARRETT, A ;
BARTON, C ;
BROADBENT, V ;
DEMPSEY, SI ;
DURRANT, J ;
EMERSON, P ;
EVANS, DIK ;
FENNELLY, JJ ;
GALTON, DAG ;
GIBSON, B ;
GRAY, R ;
HANN, IM ;
HARDISTY, RM ;
HILL, FGH ;
KERNAHAN, J ;
KING, DJ ;
LILLEYMAN, JS ;
MANN, J ;
MARTIN, J ;
MCELWAIN, TJ ;
MELLOR, ST ;
JONES, PHM ;
OAKHILL, A ;
PETO, J ;
RADFORD, M ;
REES, JKH ;
STEVENS, RF ;
SUMMERFIELD, GP ;
THOMPSON, EN .
LANCET, 1995, 345 (8943) :143-148
[6]  
Collet D., 1994, MODELLING SURVIVAL D, V1st
[7]  
COX DR, 1972, J R STAT SOC, V34, P248
[8]   Critical study of prognostic factors in childhood acute lymphoblastic leukaemia: differences in outcome are poorly explained by the most significant prognostic variables [J].
Donadieu, J ;
Auclerc, MF ;
Baruchel, A ;
Leblanc, T ;
Landman-Parker, J ;
Perel, Y ;
Michel, G ;
Cornu, G ;
Bordigoni, P ;
Sommelet, D ;
Leverger, G ;
Hill, C ;
Schaison, G .
BRITISH JOURNAL OF HAEMATOLOGY, 1998, 102 (03) :729-739
[9]   FLOATING ABSOLUTE RISK - AN ALTERNATIVE TO RELATIVE RISK IN SURVIVAL AND CASE-CONTROL ANALYSIS AVOIDING AN ARBITRARY REFERENCE GROUP [J].
EASTON, DF ;
PETO, J ;
BABIKER, AGAG .
STATISTICS IN MEDICINE, 1991, 10 (07) :1025-1035
[10]   THE ROGERS,WILL PHENOMENON - STAGE MIGRATION AND NEW DIAGNOSTIC-TECHNIQUES AS A SOURCE OF MISLEADING STATISTICS FOR SURVIVAL IN CANCER [J].
FEINSTEIN, AR ;
SOSIN, DM ;
WELLS, CK .
NEW ENGLAND JOURNAL OF MEDICINE, 1985, 312 (25) :1604-1608