Evidence map›Paper›PMID 37429805›Full record

ArticleZeitschrift fur medizinische Physik2024

Application of multi-method-multi-model inference to radiation related solid cancer excess risks models for astronaut risk assessment.

Luana Hafner, Linda Walsh

Abstract read
In one paragraph

Article in Zeitschrift fur medizinische Physik, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
  2. 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.

Luana HafnerSwiss Federal Nuclear Safety Inspectorate ENSI, Industriestrasse 19, 5201 Brugg, Switzerland. Electronic address: luana.hafner@ensi.ch.
Linda WalshDepartment of Physics, University of Zürich, Winterthurerstrasse 190, 8057 Zürich, Switzerland. Electronic address: linda.walsh@uzh.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of including model-averaged excess radiation risks (ER) into a measure of radiation attributed decrease of survival (RADS) for the outcome all solid cancer incidence and the impact on the uncertainties is demonstrated. It is shown that RADS applying weighted model averaged ER based on AIC weights result in smaller risk estimates with narrower 95% CI than RADS using ER based on BIC weights. Further a multi-method-multi-model inference approach is introduced that allows calculating one general RADS estimate providing a weighted average risk estimate for a lunar and a Mars mission. For males the general RADS estimate is found to be 0.42% (95% CI: 0.38%; 0.45%) and for females 0.67% (95% CI: 0.59%; 0.75%) for a lunar mission and 2.45% (95% CI: 2.23%; 2.67%) for males and 3.91% (95% CI: 3.44%; 4.39%) for females for a Mars mission considering an age at exposure of 40 years and an attained age of 65 years. It is recommended to include these types of uncertainties and to include model-averaged excess risks in astronaut risk assessment.

Indexed as

AstronautsNeoplasms, Radiation-InducedAgedFemaleHumansIncidenceMaleRisk AssessmentUncertaintyAstronaut Risk AssessmentEpidemiologyMulti-Model InferenceRadiation Attributed Decrease of SurvivalSolid Cancer Risks

Identifiers

PMID37429805
PMCPMC10919967

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Registered trials

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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.