본문으로 건너뛰기
← 뒤로

Space-time clustering of childhood high hyperdiploid B-cell precursor acute lymphoblastic leukemia: a nationwide Swedish study.

1/5 보강
European journal of epidemiology 📖 저널 OA 45% 2022: 2/2 OA 2024: 0/1 OA 2025: 4/7 OA 2026: 3/10 OA 2022~2026 2026 Vol.41(2) p. 149-160
Retraction 확인
출처

Bychkov G, Engsner N, Bang B, Heyman MM, Barbany G, Nordenvall AS, Tettamanti G, Strannegård C, Nordgren A

📝 환자 설명용 한 줄

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy.

🔬 핵심 임상 통계 (초록에서 자동 추출 — 원문 검증 권장)
  • 표본수 (n) 466
  • p-value p = 0.005
  • p-value p = 0.011

이 논문을 인용하기

↓ .bib ↓ .ris
APA Bychkov G, Engsner N, et al. (2026). Space-time clustering of childhood high hyperdiploid B-cell precursor acute lymphoblastic leukemia: a nationwide Swedish study.. European journal of epidemiology, 41(2), 149-160. https://doi.org/10.1007/s10654-025-01323-9
MLA Bychkov G, et al.. "Space-time clustering of childhood high hyperdiploid B-cell precursor acute lymphoblastic leukemia: a nationwide Swedish study.." European journal of epidemiology, vol. 41, no. 2, 2026, pp. 149-160.
PMID 41524882 ↗

Abstract

Acute lymphoblastic leukemia (ALL) is the most common childhood malignancy. While space-time clustering of ALL cases has been suggested, only one prior study has examined clustering by genetic subtype. We investigated space-time clustering of childhood ALL in Sweden, both overall and by genetic subtype. The cohort included 1,629 children age 0-18 years diagnosed with ALL between 1992 and 2017, comprising 1,446 B-cell precursor ALL (BCP-ALL) and 183 T-cell ALL (T-ALL) cases. Two BCP-ALL subgroups were analyzed: high hyperdiploidy (HeH, n = 466) and ETV6::RUNX1 (n = 225). The Unbiased Knox Test and Unbiased Combined Knox Test were used to assess space-time clustering at the municipality level, accounting for multiple testing and population shifts. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm was applied to identify significant clusters. Logistic regression was used to evaluate demographic differences between clusters, including age, sex, and birth order. Significant space-time clustering was observed in the HeH subgroup for both place and date of birth (p = 0.005) and place and date of diagnosis (p = 0.011), at space-time thresholds of 40 km/18 months and 30 km/24 months, respectively. No clustering was detected in the overall BCP-ALL group, T-ALL group, or the ETV6::RUNX1 subgroup. Space-time clustering at birth and diagnosis was observed in the HeH subgroup, suggesting potential etiologic heterogeneity in BCP-ALL. These findings support further investigation of environmental and infectious exposures across immunophenotypes and genetic subtypes in larger cohorts.

🏷️ 키워드 / MeSH 📖 같은 키워드 OA만

같은 제1저자의 인용 많은 논문 (1)

🏷️ 같은 키워드 · 무료전문 — 이 논문 MeSH/keyword 기반

🟢 PMC 전문 열기