ReviewEnvironmental health perspectives2007
Risk factors for acute leukemia in children: a review.
Review in Environmental health perspectives, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT02451774 (SAFETY AND EFFICACY OF PENTOXIFYLLINE VERSUS PLACEBO ADMINISTERED AS APOPTOSIS INDUCTOR DURING REMISSION INDUCTION PHASE OF PEDIATRIC PATIENTS WITH ACUTE LYMPHOBLASTIC LEUKEMIA), which is not on this map. Cited by 173 papers, 9 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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.
Safety and efficacy of pentoxifylline versus placebo administered as apoptosis inductor during remission induction phase of pediatric patients with acute lymphoblastic leukemia
Who cites it
173 citing papers in PubMed, 9 syntheses or guidelines pooled it.
- Early Life Nutrition Factors and Risk of Acute Leukemia in Children: Systematic Review and Meta-Analysis.Nutrients · 2023Pooled it
- Role of Maternal Diet in the Risk of Childhood Acute Leukemia: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2023Pooled it
- Pooled it
- Tobacco smoke exposure and the risk of childhood acute lymphoblastic leukemia and acute myeloid leukemia: A meta-analysis.Medicine · 2019Pooled it
- Parental, In Utero, and Early-Life Exposure to Benzene and the Risk of Childhood Leukemia: A Meta-Analysis.American journal of epidemiology · 2016Pooled it
- Risk for childhood leukemia associated with maternal and paternal age.European journal of epidemiology · 2015Pooled it
- Pooled it
- Residential pesticides and childhood leukemia: a systematic review and meta-analysis.Environmental health perspectives · 2010Pooled it
- A systematic review and meta-analysis of childhood leukemia and parental occupational pesticide exposure.Environmental health perspectives · 2009Pooled it
- Childhood central nervous system tumors and leukemia: Incidence and familial risk. A comparative population-based study in Utah and Norway.Pediatric blood & cancer · 2020Trial
- SETIL: Italian multicentric epidemiological case-control study on risk factors for childhood leukaemia, non hodgkin lymphoma and neuroblastoma: study population and prevalence of risk factors in Italy.Italian journal of pediatrics · 2014Trial
- Epidemiological Profile of Pediatric Patients with Acute Lymphoblastic Leukemia Admitted to Four Hospitals in Curitiba, Southern Brazil.Medical sciences (Basel, Switzerland) · 2026Article
- Mortality and premature life lost from leukemia in China, 2005-2020: A study based on the National Mortality Surveillance System.Chinese medical journal · 2026Article
- Article
- Rural-urban classification is associated with patient- and population-level disparities in leukemia relative to other pediatric cancers.AIMS public health · 2026Article
- Long-term trends in the burden of leukemia subtypes in China from 1990 to 2021: a Joinpoint regression and age-period-cohort analysis based on GBD 2021.Frontiers in medicine · 2026Article
- The use of venetoclax in the treatment of acute lymphoblastic leukemia-a systematic review.Therapeutic advances in medical oncology · 2026Review
- The IKAROS Transcription Factor Gene IKZF1 as a Critical Regulator in the Pathogenesis of Childhood Acute Lymphoblastic Leukemia: Insights from a Bangladeshi Population.Indian journal of clinical biochemistry : IJCB · 2025Article
- Development and validation of a prognostic prediction model based on coagulation-related genes and clinical factors in acute leukemia.Translational pediatrics · 2025Article
- Article
113 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
- Commented on by
- Erratum issued
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although overall incidence is rare, leukemia is the most common type of childhood cancer. It accounts for 30% of all cancers diagnosed in children younger than 15 years. Within this population, acute lymphocytic leukemia (ALL) occurs approximately five times more frequently than acute myelogenous leukemia (AML) and accounts for approximately 78% of all childhood leukemia diagnoses. Epidemiologic studies of acute leukemias in children have examined possible risk factors, including genetic, infectious, and environmental, in an attempt to determine etiology. Only one environmental risk factor (ionizing radiation) has been significantly linked to ALL or AML. Most environmental risk factors have been found to be weakly and inconsistently associated with either form of acute childhood leukemia. Our review focuses on the demographics of childhood leukemia and the risk factors that have been associated with the development of childhood ALL or AML. The environmental risk factors discussed include ionizing radiation, non-ionizing radiation, hydrocarbons, pesticides, alcohol use, cigarette smoking, and illicit drug use. Knowledge of these particular risk factors can be used to support measures to reduce potentially harmful exposures and decrease the risk of disease. We also review genetic and infectious risk factors and other variables, including maternal reproductive history and birth characteristics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.