Evidence map›Paper›PMID 23303597›Full record

ReviewPediatric blood & cancer2013

Epidemiology of childhood acute myeloid leukemia.

Susan E Puumala, Julie A Ross, Richard Aplenc, Logan G Spector

Abstract readReview
In one paragraph

Review in Pediatric blood & cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
–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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

65 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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  8. Review
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  14. Review
  15. Article
  16. Article
  17. Observational
  18. Article
  19. Article
  20. Article

5 more citing papers are in PubMed but not listed here.

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

4 authors.

Susan E PuumalaCenter for Health Outcomes and Prevention Research, Sanford Research, Sioux Falls, South Dakota 57104, USA. susan.puumala@sanfordhealth.org
Julie A Ross
Richard Aplenc
Logan G Spector

Funding

Genetic Predictors of AML Treatment ResponseR01CA133881 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI APLENC, RICHARD · 2010 to 2014
$2.8M
Established Investigator Award in Pediatric Cancer EpidemiologyK05CA157439 · NCI · UNIVERSITY OF MINNESOTA · PI ROSS, JULIE ANN · 2011 to 2015
$695k
NCI NIH HHS K05 CA157439NCI NIH HHS R01 CA133881
6 · The paper itself

Abstract

Although leukemia is the most common childhood cancer diagnosis, the subtype, acute myeloid leukemia (AML), is less common and fewer etiologic studies exist. This review summarizes the major risk factors for AML. We searched the literature using PubMed for articles on childhood AML and reviewed 180 articles. While few risk factors are definitive, we identified several with consistent evidence of a possible effect. Thorough analysis of genetic and epigenetic factors is missing from this literature and methodological issues are unresolved. Future studies should more closely examine causal mechanisms, improve exposure measurement, and include analysis using genetic and epigenetic factors.

Indexed as

AdolescentBirth OrderBirth WeightBreast FeedingChildChild, PreschoolEnvironmental ExposureHumansInfantInfant, NewbornLeukemia, Myeloid, AcuteMaternal AgePolymorphism, Single NucleotideRisk Factors

Identifiers

PMID23303597
PMCPMC3664189

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.