Evidence map›Paper›PMID 38503732›Full record

ReviewNPJ microgravity2024

Causal diagramming for assessing human system risk in spaceflight.

Erik Antonsen, Robert J Reynolds, Jacqueline Charvat, Erin Connell, Avalon Monti, Devan Petersen, Nicholas Nartey, Wilma Anton, Ahmed Abukmail, Kristina Marotta and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in NPJ microgravity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
11.7field-weighted citation impact, top 2% 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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

12 authors at 7 institutions in 1 country.

Erik AntonsenCenter for Space Medicine, Department of Emergency Medicine, Baylor College of Medicine, Houston, TX, USA. erik.antonsen@bcm.edu.ORCID http://orcid.org/0000-0002-1042-7011
Robert J ReynoldsKBR, Houston, TX, USA.ORCID http://orcid.org/0000-0003-1070-8996
Jacqueline CharvatKBR, Houston, TX, USA.ORCID http://orcid.org/0000-0003-0299-3328
Erin ConnellLeidos Innovations, Houston, TX, USA.
Avalon MontiJES Tech, Houston, TX, USA.ORCID http://orcid.org/0009-0004-3716-8832
Devan PetersenKBR, Houston, TX, USA.
Nicholas NarteyJES Tech, Houston, TX, USA.
Wilma AntonKBR, Houston, TX, USA.
Ahmed AbukmailUniversity of Houston-Clear Lake, Houston, TX, USA.
Kristina MarottaNASA Johnson Space Center, Houston, TX, USA.
Mary Van BaalenNASA Johnson Space Center, Houston, TX, USA.ORCID http://orcid.org/0000-0002-0915-9726
Daniel M BucklandNASA Johnson Space Center, Houston, TX, USA.ORCID http://orcid.org/0000-0001-5274-3840
KBR (United States) · USJES Tech (United States) · USJohnson Space Center · USBaylor College of Medicine · USDuke University · USLeidos (United States) · USUniversity of Houston - Clear Lake · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For over a decade, the National Aeronautics and Space Administration (NASA) has tracked and configuration-managed approximately 30 risks that affect astronaut health and performance before, during and after spaceflight. The Human System Risk Board (HSRB) at NASA Johnson Space Center is responsible for setting the official risk posture for each of the human system risks and determining-based on evaluation of the available evidence-when that risk posture changes. The ultimate purpose of tracking and researching these risks is to find ways to reduce spaceflight-induced risk to astronauts. The adverse effects of spaceflight begin at launch and continue throughout the duration of the mission, and in some cases, across the lifetime of the astronaut. Historically, research has been conducted in individual risk "silos" to characterize risk, however, astronauts are exposed to all risks simultaneously. In January of 2020, the HSRB at NASA began assessing the potential value of causal diagramming as a tool to facilitate understanding of the complex causes and effects that contribute to spaceflight-induced human system risk. Causal diagrams in the form of directed acyclic graphs (DAGs) are used to provide HSRB stakeholders with a shared mental model of the causal flow of risk. While primarily improving communication among those stakeholders, DAGs also allow a composite risk network to be created that can be tracked and configuration managed. This paper outlines the HSRB's pilot process for this effort, the lessons learned, and future goals for data-driven risk management approaches.

Identifiers

PMID38503732
PMCPMC10951288
OpenAlexW4392954897

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.