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Record W4414660068 · doi:10.1038/s41526-025-00522-8

Evidence of effective cardiovascular countermeasures during spaceflights: insights from wearable monitoring

2025· article· en· W4414660068 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenpj Microgravity · 2025
Typearticle
Languageen
FieldMedicine
TopicSpaceflight effects on biology
Canadian institutionsUniversity of Waterloo
FundersRussian Academy of SciencesAgenzia Spaziale ItalianaFonds De La Recherche Scientifique - FNRSEuropean Space AgencyFonds Erasme
KeywordsSupine positionSittingHeart rateContractilityBlood pressureStroke (engine)Baseline (sea)Cardiac monitoring

Abstract

fetched live from OpenAlex

Microgravity induces profound cardiovascular changes, prompting space agencies to develop countermeasures to preserve their crewmembers' health. This study aimed to use a portable device based on electro-, impedance- and seismo-cardiography, to monitor a series of cardiovascular features in 17 cosmonauts. Our results showed that the evolution of cardiac time intervals, blood pressure, stroke volume, and cardiac systolic kinetic energy depended on the chosen baseline position. After five months in space, heart rate increased compared to the supine baseline on Earth (p = 0.013, d = 0.86) but not to the sitting position. Similarly, a marker of cardiac contractility (PEP/LVET ratio) decreased relative to the sitting baseline (p = 0.004, d = 1.09) but not the supine reference. All measured features, except heart rate, returned to baseline within three days post-landing. These findings support the efficacy of current countermeasures in facilitating rapid cardiovascular re-adaptation to terrestrial gravity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.207
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.284
Teacher spread0.269 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it