Evidence map›Paper›PMID 19064328›Full record

ReviewBlood cells, molecules & diseases

Infection and pediatric acute lymphoblastic leukemia.

Xiaomei Ma, Kevin Urayama, Jeffrey Chang, Joseph L Wiemels, Patricia A Buffler

Registry-linked trialAbstract readReview
In one paragraph

Review in Blood cells, molecules & diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00015587 (Chemical Exposures and Leukemia Risks and Childhood Leukemia and Environmental Exposure), which is not on this map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

NCT00015587 completednot on this map

Chemical Exposures and Leukemia Risks and Childhood Leukemia and Environmental Exposure

TypeobservationalSponsorNational Institute of Environmental Health Sciences (NIEHS)Ran1995 to 2016Enrolled3,523ConditionsLeukemia, Acute Myelocytic Leukemia, Acute Lymphoblastic Leukemia, Acute Myelogenous Leukemia
3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Overexpression of Potential Markers of Regulatory and Exhausted CD8International journal of molecular sciences · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Exposure to infections and risk of leukemia in young children.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2014
    Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaomei MaDepartment of Epidemiology and Public Health, Yale University School of Medicine, 60 College Street, New Haven, CT 06520-8034, USA. xiaomei.ma@yale.edu
Kevin Urayama
Jeffrey Chang
Joseph L Wiemels
Patricia A Buffler

Funding

Environmental and Molecular Epidemiology of Childhood LeukemiaR01ES009137 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI METAYER, CATHERINE · 1999 to 2013
$21.1M
NIEHS NIH HHS R01 ES009137
6 · The paper itself

Abstract

In this review, we provide an overview of recent findings from the Northern California Childhood Leukemia Study (NCCLS) on factors related to the immune system including child's vaccination history and measures of child's exposure to infectious agents, namely daycare attendance, infection during infancy, and parental social contact in the work place. We also provide suggestions for the next stages of studies.

Indexed as

AdolescentAge of OnsetCase-Control StudiesChildChild Day Care CentersChild, PreschoolClone CellsCocarcinogenesisEmploymentForecastingHumansInfantInfectionsModels, BiologicalMutationNorth Carolina

Identifiers

PMID19064328
PMCPMC2834409

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.