ArticleThe Lancet. Haematology2022
Rates of laboratory adverse events by course in paediatric leukaemia ascertained with automated electronic health record extraction: a retrospective cohort study from the Children's Oncology Group.
Article in The Lancet. Haematology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 20 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
A Phase III Randomized Trial for Patients With De Novo AML Using Bortezomib and Sorafenib (NSC# 681239, NSC# 724772) for Patients With High Allelic Ratio FLT3/ITD
A Phase III Randomized Trial for Newly Diagnosed High Risk B-Lymphoblastic Leukemia (B-ALL) Including a Stratum Evaluating Dasatinib (NSC#732517) in Patients With Ph-like Tyrosine Kinase Inhibitor (TKI) Sensitive Mutations
Who cites it
20 citing papers in PubMed, 23 citations in OpenAlex.
- Article
- Racial, Ethnic, and Neighborhood Disparities in Acute Kidney Injury in Pediatric Acute Leukemia.Cancer medicine · 2026Article
- Clinical and germline risk factors for multiple treatmentrelated toxicities in pediatric acute lymphoblastic leukemia.Haematologica · 2026Article
- Lipidomic profiles associated with treatment related hepatotoxicity in children with acute lymphoblastic leukemia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Review
- Making the case for an International Childhood Cancer Data Partnership.Journal of the National Cancer Institute · 2025Article
- Article
- Automated Electronic Health Record Data Extraction and Curation Using ExtractEHR.JCO clinical cancer informatics · 2024Article
- Navigating the Complexities of Artificial Intelligence-Enabled Real-World Data Collection for Oncology Pharmacovigilance.JCO clinical cancer informatics · 2024Article
- Extracting Electronic Health Record Neuroblastoma Treatment Data With High Fidelity Using the REDCap Clinical Data Interoperability Services Module.JCO clinical cancer informatics · 2024Article
- An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia.Journal of clinical medicine · 2024Article
- Racial and ethnic disparities in acuity of presentation among children with newly diagnosed acute leukemia.Pediatric blood & cancer · 2024Article
- Acute and chronic kidney injury during therapy for pediatric acute leukemia: A report from the Leukemia Electronic Abstraction of Records Network (LEARN).Pediatric blood & cancer · 2023Article
- Article
- High burden of clinically significant adverse events associated with contemporary therapy for pediatric T-cell acute lymphoblastic leukemia/lymphoma.Pediatric blood & cancer · 2023Article
- A comprehensive analysis of adverse events in the first 30 days of phase 1 pediatric CAR T-cell trials.Blood advances · 2023Article
- Children's Oncology Group's 2023 blueprint for research: Cancer control and supportive care.Pediatric blood & cancer · 2023Article
- Informatics tools to implement late cardiovascular risk prediction modeling for population management of high-risk childhood cancer survivors.Pediatric blood & cancer · 2023Article
- Absolute lymphocyte count recovery following initial acute myelogenous leukemia therapy: Implications for adoptive cell therapy.Pediatric blood & cancer · 2023Observational
- Safety culture and adverse event reporting in Ghanaian healthcare facilities: Implications for patient safety.PloS one · 2022Article
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Authors and funding
24 authors at 5 institutions in 1 country.
Funding
Abstract
backgroundAdverse events are often misreported in clinical trials, leading to an incomplete understanding of toxicities. We aimed to test automated laboratory adverse event ascertainment and grading (via the ExtractEHR automated package) to assess its scalability and define adverse event rates for children with acute myeloid leukaemia and acute lymphoblastic leukaemia.
methodsFor this retrospective cohort study from the Children's Oncology Group (COG), we included patients aged 0-22 years treated for acute myeloid leukaemia or acute lymphoblastic leukaemia at Children's Healthcare of Atlanta (Atlanta, GA, USA) from Jan 1, 2010, to Nov 1, 2018, at the Children's Hospital of Philadelphia (Philadelphia, PA, USA) from Jan 1, 2011, to Dec 31, 2014, and at the Texas Children's Hospital (Houston, TX, USA) from Jan 1, 2011, to Dec 31, 2014. The ExtractEHR automated package acquired, cleaned, and graded laboratory data as per Common Terminology Criteria for Adverse Events (CTCAE) version 5 for 22 commonly evaluated grade 3-4 adverse events (fatal events were not evaluated) with numerically based CTCAE definitions. Descriptive statistics tabulated adverse event frequencies. Adverse events ascertained by ExtractEHR were compared to manually reported adverse events for patients enrolled in two COG trials (AAML1031, NCT01371981; AALL0932, NCT02883049). Analyses were restricted to protocol-defined chemotherapy courses (induction I, induction II, intensification I, intensification II, and intensification III for acute myeloid leukaemia; induction, consolidation, interim maintenance, delayed intensification, and maintenance for acute lymphoblastic leukaemia).
findingsLaboratory adverse event data from 1077 patients (583 from Children's Healthcare of Atlanta, 200 from the Children's Hospital of Philadelphia, and 294 from the Texas Children's Hospital) who underwent 4611 courses (549 for acute myeloid leukaemia and 4062 for acute lymphoblastic leukaemia) were extracted, processed, and graded. Of the 166 patients with acute myeloid leukaemia, 86 (52%) were female, 80 (48%) were male, 96 (58%) were White, and 132 (80%) were non-Hispanic. Of the 911 patients with acute lymphoblastic leukaemia, 406 (45%) were female, 505 (55%) were male, 596 (65%) were White, and 641 (70%) were non-Hispanic. Patients with acute myeloid leukaemia had the most adverse events during induction I and intensification II. Hypokalaemia (one [17%] of six to 75 [48%] of 156 courses) and alanine aminotransferase (ALT) increased (13 [10%] of 134 to 27 [17%] of 156 courses) were the most prevalent non-haematological adverse events in patients with acute myeloid leukaemia, as identified by ExtractEHR. Patients with acute lymphoblastic leukaemia had the greatest number of adverse events during induction and maintenance (eight adverse events with prevalence ≥10%; induction and maintenance: anaemia, platelet count decreased, white blood cell count decreased, neutrophil count decreased, lymphocyte count decreased, ALT increased, and hypocalcaemia; induction: hypokalaemia; maintenance: aspartate aminotransferase [AST] increased and blood bilirubin increased), as identified by ExtractEHR. 187 (85%) of 220 total comparisons in 22 adverse events in four AAML1031 and six AALL0923 courses were substantially higher with ExtractEHR than COG-reported adverse event rates for adverse events with a prevalence of at least 2%.
interpretationExtractEHR is scalable and accurately defines laboratory adverse event rates for paediatric acute leukaemia; moreover, ExtractEHR seems to detect higher rates of laboratory adverse events than those reported in COG trials. These rates can be used for comparisons between therapies and to counsel patients treated on or off trials about the risks of chemotherapy. ExtractEHR-based adverse event ascertainment can improve reporting of laboratory adverse events in clinical trials.
fundingUS National Institutes of Health, St Baldrick's Foundation, and Alex's Lemonade Stand Foundation.
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