Evidence map›Paper›PMID 23565507›Full record

ArticleFrontiers in oncology2013

Radiotherapy-induced malignancies: review of clinical features, pathobiology, and evolving approaches for mitigating risk.

Steve Braunstein, Jean L Nakamura

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

48 citing papers in PubMed, 115 citations in OpenAlex.

  1. Trial
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  3. Targeting Lysosomes for Enhanced Anti-Cancer Therapeutics and Immune Response.International journal of biological sciences · 2026
    Review
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  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
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  11. Review
  12. Review
  13. Clinical Features of Li-Fraumeni Syndrome in Korea.Cancer research and treatment · 2024
    Article
  14. Review
  15. Article
  16. Composite haemangioendothelioma in the heart: a case report.European heart journal. Case reports · 2023
    Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Steve BraunsteinDepartment of Radiation Oncology, University of California San Francisco San Francisco, CA, USA.
Jean L Nakamura
University of California, San Francisco · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the most significant effects of radiation therapy on normal tissues is mutagenesis, which is the basis for radiation-induced malignancies. Radiation-induced malignancies are late complications arising after radiotherapy, increasing in frequency among survivors of both pediatric and adult cancers. Genetic backgrounds harboring germline mutations in tumor suppressor genes are recognized risk factors. Some success has been found with using genome wide association studies to identify germline polymorphisms associated with susceptibility. The insights generated by genetics, epidemiology, and the development of experimental models are defining potential strategies to offer to individuals at risk for radiation-induced malignancies. Concurrent technological efforts are developing novel radiotherapy delivery to reduce irradiation of normal tissues, and thereby, to mitigate the risk of radiation-induced malignancies. The goal of this review is to discuss epidemiologic, modeling, and radiotherapy delivery data, where these lines of research intersect and their potential impact on patient care.

Indexed as

cancer survivorshipcomplicationsmutationsradiation-induced tumorssecond malignant neoplasms

Identifiers

PMID23565507
PMCPMC3615242
OpenAlexW2170852797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.