Abstract
Lag time (the interval between symptom onset and diagnosis) was described for 2665 children with lymphoma or a solid tumor who participated in Pediatric Oncology Group therapeutic protocols from 1982 until 1988. Median lag time ranged from 21 days for neuroblastoma to 72 days for Ewing sarcoma. Significant differences in lag time were found among diagnostic groups (p<0.001), even after adjustment for age, gender, and race. Age was significantly associated with lag time for all diagnoses (p<0.05) except Hodgkin disease. Girls had increased lag times for non-Hodgkin lymphoma (p=0.02) but decreased lag times for Ewing sarcoma (p=0.02). Differences in lag time related to race were significant only for children with osteosarcoma (p=0.02), for which white children had longer lag times. Type of tumor and age were strongly associated with lag time. Within diagnostic groups, age, gender, and race failed to explain more than 16% of the variance in lag time, suggesting that other factors may play more prominent roles. Further study is necessary to identify these factors and to assess the relationship between lag time, stage of disease at diagnosis, and prognosis, especially before designing early-detection interventions for childhood cancer.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 725-732 |
| Number of pages | 8 |
| Journal | The Journal of Pediatrics |
| Volume | 119 |
| Issue number | 5 |
| DOIs | |
| State | Published - 1991 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Pediatrics, Perinatology, and Child Health
Cite this
Interval between symptom onset and diagnosis of pediatric solid tumors. / Pollock, Bradley H; Krischer, Jeffrey P.; Vietti, Teresa J.
In: The Journal of Pediatrics, Vol. 119, No. 5, 1991, p. 725-732.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Interval between symptom onset and diagnosis of pediatric solid tumors
AU - Pollock, Bradley H
AU - Krischer, Jeffrey P.
AU - Vietti, Teresa J.
PY - 1991
Y1 - 1991
N2 - Lag time (the interval between symptom onset and diagnosis) was described for 2665 children with lymphoma or a solid tumor who participated in Pediatric Oncology Group therapeutic protocols from 1982 until 1988. Median lag time ranged from 21 days for neuroblastoma to 72 days for Ewing sarcoma. Significant differences in lag time were found among diagnostic groups (p<0.001), even after adjustment for age, gender, and race. Age was significantly associated with lag time for all diagnoses (p<0.05) except Hodgkin disease. Girls had increased lag times for non-Hodgkin lymphoma (p=0.02) but decreased lag times for Ewing sarcoma (p=0.02). Differences in lag time related to race were significant only for children with osteosarcoma (p=0.02), for which white children had longer lag times. Type of tumor and age were strongly associated with lag time. Within diagnostic groups, age, gender, and race failed to explain more than 16% of the variance in lag time, suggesting that other factors may play more prominent roles. Further study is necessary to identify these factors and to assess the relationship between lag time, stage of disease at diagnosis, and prognosis, especially before designing early-detection interventions for childhood cancer.
AB - Lag time (the interval between symptom onset and diagnosis) was described for 2665 children with lymphoma or a solid tumor who participated in Pediatric Oncology Group therapeutic protocols from 1982 until 1988. Median lag time ranged from 21 days for neuroblastoma to 72 days for Ewing sarcoma. Significant differences in lag time were found among diagnostic groups (p<0.001), even after adjustment for age, gender, and race. Age was significantly associated with lag time for all diagnoses (p<0.05) except Hodgkin disease. Girls had increased lag times for non-Hodgkin lymphoma (p=0.02) but decreased lag times for Ewing sarcoma (p=0.02). Differences in lag time related to race were significant only for children with osteosarcoma (p=0.02), for which white children had longer lag times. Type of tumor and age were strongly associated with lag time. Within diagnostic groups, age, gender, and race failed to explain more than 16% of the variance in lag time, suggesting that other factors may play more prominent roles. Further study is necessary to identify these factors and to assess the relationship between lag time, stage of disease at diagnosis, and prognosis, especially before designing early-detection interventions for childhood cancer.
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UR - http://www.scopus.com/inward/citedby.url?scp=0025953784&partnerID=8YFLogxK
U2 - 10.1016/S0022-3476(05)80287-2
DO - 10.1016/S0022-3476(05)80287-2
M3 - Article
C2 - 1941378
AN - SCOPUS:0025953784
VL - 119
SP - 725
EP - 732
JO - Journal of Pediatrics
JF - Journal of Pediatrics
SN - 0022-3476
IS - 5
ER -