Evidence map›Paper›PMID 32657346›Full record

ReviewJournal of the National Cancer Institute. Monographs2020

Strengths and Weaknesses of Dosimetry Used in Studies of Low-Dose Radiation Exposure and Cancer.

Robert D Daniels, Gerald M Kendall, Isabelle Thierry-Chef, Martha S Linet, Harry M Cullings

Abstract readReview
In one paragraph

Review in Journal of the National Cancer Institute. Monographs, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 3 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

19 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  15. A review of studies of childhood cancer and natural background radiation.International journal of radiation biology · 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

5 authors.

Robert D DanielsDivision of Science Integration, National Institute for Occupational Safety and Health, Cincinnati, OH.
Gerald M KendallCancer Epidemiology Unit, NDPH, University of Oxford, Oxford, UK.
Isabelle Thierry-ChefBarcelona Institute for Global Health, Barcelona, Catalonia, Spain.
Martha S LinetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Harry M CullingsDepartment of Statistics, Radiation Effects Research Foundation, Hiroshima, Japan.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundA monograph systematically evaluating recent evidence on the dose-response relationship between low-dose ionizing radiation exposure and cancer risk required a critical appraisal of dosimetry methods in 26 potentially informative studies.

methodsThe relevant literature included studies published in 2006-2017. Studies comprised case-control and cohort designs examining populations predominantly exposed to sparsely ionizing radiation, mostly from external sources, resulting in average doses of no more than 100 mGy. At least two dosimetrists reviewed each study and appraised the strengths and weaknesses of the dosimetry systems used, including assessment of sources and effects of dose estimation error. An overarching concern was whether dose error might cause the spurious appearance of a dose-response where none was present.

resultsThe review included 8 environmental, 4 medical, and 14 occupational studies that varied in properties relative to evaluation criteria. Treatment of dose estimation error also varied among studies, although few conducted a comprehensive evaluation. Six studies appeared to have known or suspected biases in dose estimates. The potential for these biases to cause a spurious dose-response association was constrained to three case-control studies that relied extensively on information gathered in interviews conducted after case ascertainment.

conclusionsThe potential for spurious dose-response associations from dose information appeared limited to case-control studies vulnerable to recall errors that may be differential by case status. Otherwise, risk estimates appeared reasonably free of a substantial bias from dose estimation error. Future studies would benefit from a comprehensive evaluation of dose estimation errors, including methods accounting for their potential effects on dose-response associations.

Indexed as

Radiation ExposureRadiation, IonizingRadiometryCausalityHumansNeoplasms, Radiation-InducedOccupational Exposure

Identifiers

PMID32657346
PMCPMC7667397

What OpenQuestion holds

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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.