Mapping ICD-10 to ICCC-3 for Childhood Cancer Classification Using Cancer Incidence in Five Continents (CI5) Data
Abstract
Abstract Background Global childhood and adolescent cancer burden estimation is limited by inconsistent diagnostic classification systems. ICCC‑3 is the benchmark for pediatric cancer research, but large registries mainly use ICD‑10, which cannot be directly matched to ICCC‑3. A unified mapping framework is required to accurately quantify disease burden and enable cross‑database data comparison. Methods We used pediatric cancer incidence data from the US registries in CI5 Volume XII, which provides dual coding in ICD-10 and ICCC-3. We developed a three-tier ICD-10 to ICCC-3 mapping strategy: (1) direct mapping to main diagnostic groups; (2) subgroup mapping for lymphoid and hematopoietic neoplasms; and (3) manual mapping for the other subgroups. Results We identified 77,236 pediatric cancer cases coded in ICD-10 and 77,152 cases coded in ICCC-3. Near-perfect concordance (CR ≈ 1.00) was observed for retinoblastoma, brain and CNS tumors, renal tumors, and hepatic tumors. Over-mapping was noted for epithelial neoplasms/melanomas (CR = 1.24), bone tumors (CR = 1.11), and leukemias (CR = 1.07), while under-mapping occurred for neuroblastomas (CR = 0.67), germ cell tumors (CR = 0.72), soft tissue sarcomas (CR = 0.87), lymphomas (CR = 0.88), and unspecified malignant neoplasms (CR = 0.47). For lymphoid and hematopoietic neoplasms, an ICD-O-3–mediated crosswalk enabled subgroup mapping with enhanced specificity. However, for most other subgroups, precise one-to-one mapping was not…
Read the paper
Related studies
- Understanding the factors influencing fall armyworm (Spodoptera frugiperda J.E. Smith) damage in African smallholder maize fields and quantifying its impact on yield. A case study in Eastern Zimbabwe
- Alarming situation of emerging H5 and H7 avian influenza and effective control strategies
- Livestock and food security: vulnerability to population growth and climate change
- Atmosphere–ocean oxygen and productivity dynamics during early animal radiations
- Characterization of the global distribution and diversified plasmid reservoirs of the colistin resistance gene mcr-9
- The global seroprevalence of Toxoplasma gondii in pigs: A systematic review and meta-analysis
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.