Evidence map›Paper›PMID 22353999›Full record

ReviewBlood2012

Quantitative modeling of chronic myeloid leukemia: insights from radiobiology.

Tomas Radivoyevitch, Lynn Hlatky, Julian Landaw, Rainer K Sachs

Open access · bronzeAbstract readReview
In one paragraph

Review in Blood, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

11 citing papers in PubMed, 33 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Sex differences in the incidence of chronic myeloid leukemia.Radiation and environmental biophysics · 2014
    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

4 authors at 3 institutions in 1 country.

Tomas RadivoyevitchDepartment of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH, USA.
Lynn Hlatky
Julian Landaw
Rainer K Sachs
University of California, Berkeley · USCase Western Reserve University · USTufts University · US

Funding

Project 5 UC BerkleyU54CA149233 · NCI · STEWARD ST. ELIZABETH'S MEDICAL CENTER · PI HLATKY, LYNN · 2010 to 2014
$7.3M
NCI NIH HHS 5U54CA149233-029689NCI NIH HHS R01 CA1388-03NCI NIH HHS U54 CA149233NCI NIH HHS U54CA149233NCI NIH HHS U54CA149233-029689
6 · The paper itself

Abstract

Mathematical models of chronic myeloid leukemia (CML) cell population dynamics are being developed to improve CML understanding and treatment. We review such models in light of relevant findings from radiobiology, emphasizing 3 points. First, the CML models almost all assert that the latency time, from CML initiation to diagnosis, is at most ∼10 years. Meanwhile, current radiobiologic estimates, based on Japanese atomic bomb survivor data, indicate a substantially higher maximum, suggesting longer-term relapses and extra resistance mutations. Second, different CML models assume different numbers, between 400 and 10(6), of normal HSCs. Radiobiologic estimates favor values>10(6) for the number of normal cells (often assumed to be the HSCs) that are at risk for a CML-initiating BCR-ABL translocation. Moreover, there is some evidence for an HSC dead-band hypothesis, consistent with HSC numbers being very different across different healthy adults. Third, radiobiologists have found that sporadic (background, age-driven) chromosome translocation incidence increases with age during adulthood. BCR-ABL translocation incidence increasing with age would provide a hitherto underanalyzed contribution to observed background adult-onset CML incidence acceleration with age, and would cast some doubt on stage-number inferences from multistage carcinogenesis models in general.

Indexed as

Models, TheoreticalAdultHumansLeukemia, Myelogenous, Chronic, BCR-ABL PositiveModels, BiologicalNuclear WeaponsRadiation, IonizingRadiobiologyRecurrenceSurvivorsTime Factors

Identifiers

PMID22353999
PMCPMC3362357
OpenAlexW1986914152

What OpenQuestion holds

Textmetadata
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.