Evidence map›Paper›PMID 25478557›Full record

ReviewFrontiers in public health2014

Donor-specific cell-based assays in studying sensitivity to low-dose radiation: a population-based perspective.

Dora Il'yasova, Alexander Kinev, C David Melton, Faith G Davis

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in public health, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Bridging the Data Gap FromFrontiers in public health · 2018
    Review
  5. 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 2 countries.

Dora Il'yasovaDivision of Epidemiology and Biostatistics, School of Public Health, Georgia State University , Atlanta, GA , USA.
Alexander KinevCreative Scientist, Inc. , Durham, NC , USA.
C David MeltonDivision of Epidemiology and Biostatistics, School of Public Health, Georgia State University , Atlanta, GA , USA.
Faith G DavisSchool of Public Health, University of Alberta , Edmonton, AB , Canada.
Georgia State University · USCreative Scientist (United States) · USUniversity of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, a linear no-threshold model is used to estimate health risks associated with exposure to low-dose radiation, a prevalent exposure in the general population, because the direct estimation from epidemiological studies suffers from uncertainty. This model has been criticized based on unique biology of low-dose radiation. Whether the departure from linearity is toward increased or decreased risk is intensely debated. We present an approach based on individual radiosensitivity testing and discuss how individual radiosensitivity can be assessed with the goal to develop a quantifiable measure of cellular response that can be conducted via high-throughput population testing.

Indexed as

biomarkersepidemiologyindividual variabilitylow-dose ionizing radiation

Identifiers

PMID25478557
PMCPMC4235273
OpenAlexW2073258256

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.