Evidence map›Paper›PMID 19499238›Full record

ArticleRadiation and environmental biophysics2009

A new view of radiation-induced cancer: integrating short- and long-term processes. Part II: second cancer risk estimation.

Igor Shuryak, Philip Hahnfeldt, Lynn Hlatky, Rainer K Sachs, David J Brenner

Erratum issuedAbstract read
In one paragraph

Article in Radiation and environmental biophysics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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.

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

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

  1. Pooled it
  2. Article
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  7. A software tool for organ-specific second cancer risk assessment from exposure to therapeutic doses.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2022
    Article
  8. Article
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  10. Low dose radiation therapy for COVID-19: Effective dose and estimation of cancer risk.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020
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  18. Review
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4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

5 authors.

Igor ShuryakCenter for Radiological Research, Columbia University Medical Center, New York, NY 10032, USA. ishuryak@gmail.com
Philip Hahnfeldt
Lynn Hlatky
Rainer K Sachs
David J Brenner

Funding

THE FUNCTIONAL GENOMICS OF BYSTANDER RESPONSESP01CA049062 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HEI, TOM K. · 1990 to 2014
$21.9M
TR&D 3P41EB002033 · NIBIB · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BRENNER, DAVID JONATHAN · 2003 to 2018
$17.0M
CANCER EPIDEMIOLOGY/BIOSTATISTICS/ENVIRONMENTAL SCIENCEST32CA009529 · NCI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NEUGUT, ALFRED I. · 1985 to 2012
$4.3M
QUANTIFYING EFFECTIVENESS OF ANGIOGENIC INHIBITORSR01CA078496 · NCI · DANA-FARBER CANCER INSTITUTE · PI HAHNFELDT, PHILIP · 1998 to 2004
$1.1M
NCI NIH HHS 5T32-CA009529NCI NIH HHS CA78496NCI NIH HHS P01 CA049062NCI NIH HHS P01 CA-49062NCI NIH HHS R01 CA078496NCI NIH HHS T32 CA009529NIBIB NIH HHS P41 EB002033NIBIB NIH HHS P41 EB002033-09
6 · The paper itself

Abstract

As the number of cancer survivors grows, prediction of radiotherapy-induced second cancer risks becomes increasingly important. Because the latency period for solid tumors is long, the risks of recently introduced radiotherapy protocols are not yet directly measurable. In the accompanying article, we presented a new biologically based mathematical model, which, in principle, can estimate second cancer risks for any protocol. The novelty of the model is that it integrates, into a single formalism, mechanistic analyses of pre-malignant cell dynamics on two different time scales: short-term during radiotherapy and recovery; long-term during the entire life span. Here, we apply the model to nine solid cancer types (stomach, lung, colon, rectal, pancreatic, bladder, breast, central nervous system, and thyroid) using data on radiotherapy-induced second malignancies, on Japanese atomic bomb survivors, and on background US cancer incidence. Potentially, the model can be incorporated into radiotherapy treatment planning algorithms, adding second cancer risk as an optimization criterion.

Indexed as

Models, BiologicalAdultAgedAged, 80 and overAge DistributionFemaleHumansMaleMiddle AgedNeoplasms, Radiation-InducedNuclear WeaponsRadiotherapyRadiotherapy DosageRisk AssessmentSurvivorsTime Factors

Identifiers

PMID19499238
PMCPMC2714894

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.