Evidence map›Paper›PMID 23249856›Full record

ArticleInternational journal of environmental research and public health2012

The effects of radiation and dose-fractionation on cancer and non-tumor disease development.

William Liu, Benjamin M Haley, Mary J Kwasny, Jian-Jian Li, David J Grdina, Tatjana Paunesku, Gayle E Woloschak

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Neutron Radiobiology and Dosimetry.Radiation research · 2021
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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

7 authors at 3 institutions in 1 country.

William LiuDepartment of Radiation Oncology, Northwestern University Feinberg School of Medicine, Chicago, IL 60611, USA. wliu@u.northwestern.edu
Benjamin M Haley
Mary J Kwasny
Jian-Jian Li
David J Grdina
Tatjana Paunesku
Gayle E Woloschak
Northwestern University · USUniversity of California, Davis · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Janus series of radiation experiments, conducted from 1970 to 1992, explored the effects of gamma and neutron radiation on animal lifespan and disease development. Data from these experiments presents an opportunity to conduct a large scale analysis of both tumor and non-tumor disease development. This work was focused on a subset of animals from the Janus series of experiments, comparing acute or fractionated exposures of gamma or neutron radiation on the hazards associated with the development of tumor and non-tumor diseases of the liver, lung, kidney or vascular system. This study also examines how the co-occurrence of non-tumor diseases may affect tumor-associated hazards. While exposure to radiation increases the hazard of dying with tumor and non-tumor diseases, dose fractionation modulates these hazards, which varies across different organ systems. Finally, the effect that concurrent non-cancer diseases have on the hazard of dying with a tumor also differs by organ system. These results highlight the complexity in the effects of radiation on the liver, lung, kidney and vascular system.

Indexed as

Dose-Response Relationship, RadiationAnimalsDisease ProgressionDose Fractionation, RadiationFemaleGamma RaysKaplan-Meier EstimateMaleMiceNeoplasms, Radiation-InducedNeutronsProportional Hazards ModelsRadiation Injuries, ExperimentalRisk Assessment

Identifiers

PMID23249856
PMCPMC3546784
OpenAlexW1971121707

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.