Evidence map›Paper›PMID 24337217›Full record

ArticleRadiation and environmental biophysics2014

Sex differences in the incidence of chronic myeloid leukemia.

Tomas Radivoyevitch, Gradimir M Jankovic, Ramon V Tiu, Yogen Saunthararajah, Robert C Jackson, Lynn R Hlatky, Robert Peter Gale, Rainer K Sachs

Abstract read
In one paragraph

Article in Radiation and environmental biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

21 citing papers in PubMed, 46 citations in OpenAlex.

  1. Beyond XX and XY, Understanding Sex Differences in Leukemia.Medical sciences (Basel, Switzerland) · 2026
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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

8 authors at 5 institutions in 3 countries.

Tomas RadivoyevitchDepartment of Epidemiology and Biostatistics, School of Medicine, Case Western Reserve University, Cleveland, OH, 44106, USA, txr24@case.edu.
Gradimir M Jankovic
Ramon V Tiu
Yogen Saunthararajah
Robert C Jackson
Lynn R Hlatky
Robert Peter Gale
Rainer K Sachs
Cancer Institute (WIA) · INGenesys (United States) · USCambridge Econometrics (United Kingdom) · GBCleveland Clinic · USImperial College London · GB

Funding

Project 5 UC BerkleyU54CA149233 · NCI · STEWARD ST. ELIZABETH'S MEDICAL CENTER · PI HLATKY, LYNN · 2010 to 2014
$7.3M
Optimizing decitabine regimen + formulation for nonDNA damaging DNMT1 depletionR01CA138858 · NCI · CLEVELAND CLINIC LERNER COM-CWRU · PI SAUNTHARARAJAH, YOGEN · 2009 to 2013
$1.6M
NCI NIH HHS R01 CA138858NCI NIH HHS R01CA138858NCI NIH HHS U54 CA149233NCI NIH HHS U54CA149233
6 · The paper itself

Abstract

The incidence of chronic myeloid leukemia (CML), which is caused by BCR/ABL chimeric oncogene formation in a pluripotent hematopoietic stem cell (HSC), increases with age and exposure to ionizing radiation. CML is a comparatively well-characterized neoplasm, important for its own sake and useful for insights into other neoplasms. Here, Surveillance, Epidemiology and End Results (SEER) CML data are analyzed after considering possible misclassification of chronic myelo-monocytic leukemia as CML. For people older than 25 years, plots of male and female CML log incidences versus age at diagnosis are approximately parallel straight lines with males either above or to the left of females. This is consistent with males having a higher risk of developing CML or a shorter latency from initiation to diagnosis of CML. These distinct mechanisms cannot be distinguished using SEER data alone. Therefore, CML risks among male and female Japanese A-bomb survivors are also analyzed. The present analyses suggest that sex differences in CML incidence more likely result from differences in risk than in latency. The simplest but not the sole interpretation of this is that males have more target cells at risk to develop CML. Comprehensive mathematical models of CML could lead to a better understanding of the role of HSCs in CML and other preleukemias that can progress to acute leukemia.

Indexed as

AdultAgedAged, 80 and overAge DistributionEnvironmental ExposureFemaleHumansIncidenceLeukemia, Myelogenous, Chronic, BCR-ABL PositiveMaleMiddle AgedModels, StatisticalNeoplasms, Radiation-InducedNuclear WeaponsSex CharacteristicsSex Distribution

Identifiers

PMID24337217
PMCPMC3943788
OpenAlexW2056142127

What OpenQuestion holds

Textmetadata
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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.