ArticleBiomedicines2022
Validating Causal Diagrams of Human Health Risks for Spaceflight: An Example Using Bone Data from Rodents.
Article in Biomedicines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 16 citations in OpenAlex.
- Interactive causal diagram of habitat design impacts on behavioral health and performance in extreme environments.NPJ microgravity · 2026Article
- Characterizing dehydration in short-term spaceflight using evidence from Project Mercury.NPJ microgravity · 2024Article
- NASA GeneLab derived microarray studies of Mus musculus and Homo sapiens organisms in altered gravitational conditions.NPJ microgravity · 2024Review
- Levels of evidence for human system risk evaluation.NPJ microgravity · 2024Review
- Causal diagramming for assessing human system risk in spaceflight.NPJ microgravity · 2024Review
- The human biology of spaceflight.American journal of human biology : the official journal of the Human Biology Council · 2024Article
- Addressing Spaceflight Biology through the Lens of a Histologist-Embryologist.Life (Basel, Switzerland) · 2023Review
- Translation from Microgravity Research to Earth Application.International journal of molecular sciences · 2022Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As part of the risk management plan for human system risks at the US National Aeronautics and Space Administration (NASA), the NASA Human Systems Risk Board uses causal diagrams (in the form of directed, acyclic graphs, or DAGs) to communicate the complex web of events that leads from exposure to the spaceflight environment to performance and health outcomes. However, the use of DAGs in this way is relatively new at NASA, and thus far, no method has been articulated for testing their veracity using empirical data. In this paper, we demonstrate a set of procedures for doing so, using (a) a DAG related to the risk of bone fracture after exposure to spaceflight; and (b) four datasets originally generated to investigate this phenomenon in rodents. Tests of expected marginal correlation and conditional independencies derived from the DAG indicate that the rodent data largely agree with the structure of the diagram. Incongruencies between tests and the expected relationships in one of the datasets are likely explained by inadequate representation of a key DAG variable in the dataset. Future directions include greater tie-in with human data sources, including multiomics data, which may allow for more robust characterization and measurement of DAG variables.
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Registered trials
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.