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Record W4406394988 · doi:10.1161/svin.04.suppl_1.066

Abstract 066: Adaptive and physiological cerebrovascular changes at high altitudes: a systematic review and meta‐analysis

2024· review· en· W4406394988 on OpenAlexaffabout
Julio A. Chirinos, P. Zila-Velasque, Pamela Grados‐Espinoza, Sebastian Abanto-Urbano, Mely Olarte-Durand, Martha I. Vilca-Salas, Paula Moran-Ballon, Victor Velásquez‐Rimachi, Kateriny Margot Regalado-Rodríguez, Carlos Quispe‐Vicuña, Fernando Terry, Carlos Alva‐Díaz

Bibliographic record

VenueStroke Vascular and Interventional Neurology · 2024
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHigh Altitude and Hypoxia
Canadian institutionsNetwork for Business Sustainability
Fundersnot available
KeywordsMeta-analysisMedicineInternal medicine

Abstract

fetched live from OpenAlex

Introduction moderate altitude, considered over 1,500 meters (about 4921 ft) above sea level (m.a.s.l), is a particular environment due to the lower oxygen pressure that conditions the development of adaptive mechanisms such as cerebrovascular changes expressed in cerebral blood flow (CBF). Several studies have explored changes in CBF in small populations, however, changes at different altitudes, populations and units of measurement have not been described. These characteristics have been associated with cerebrovascular adaptation Methods We systematically searched databases (PubMed‐Medline, Embase, Web of Science, Scopus and Google Scholar) until January 2022 for studies evaluating cerebrovascular changes resulting from exposures at altitudes greater and lower than 1500 m.a.s.l. The Newcastle‐Ottawa scale and RoB‐2 tools was used to assess the risk of bias from observational studies and randomized clinical trials, respectively. A meta‐analysis using a random‐effects model to estimate pooled effects was realized for each outcome and a narrative synthesis when this was not possible. GRADE criteria were used to identify the certainty of evidence for each result. Results We included 58 studies (2 randomized clinical trials and 56 non‐randomized clinical trials) with 1959 patients. Most studies were at low risk of bias. We found that in the middle meningeal artery, altitude higher than 1500 m.a.s.l may reduce autoregulatory index (MD −0.42, 95% CI −0.67 to −0.18, I2 84%, 2 studies, low certainty), cerebral oxygen saturation (MD −5.65, 95% CI −8.63 to −2.67, I2 91%), cerebral oxygen saturation (MD −5.65, 95% CI ‐8.63 to ‐2.67, I2 91%) and cerebral oxygen saturation (MD ‐5.65, 95% CI ‐8.63 to ‐2.67, I2 91%): ‐8.63 to ‐2.67, I2: 91%, 3 studies, low certainty), cerebrovascular resistance (MD: ‐25.04, 95% CI: ‐75.61 to 25.54, I2: 100%, 2 studies, low certainty) and Cerebrovascular Conductance (MD: ‐0.01, 95% CI: ‐0.05 to 0.03, I2: 0%, 2 studies, low certainty). Similarly, in the internal carotid and vertebral artery, altitude may increase global cerebral blood flow (MD 200.82, 95% CI 47.17 to 354.46, I2 70%, 2 studies, low certainty). Conclusion Exposure to altitudes above 1500 m.a.s.l reduces autoregulation and cerebral oxygen saturation but increases overall cerebral blood flow. These changes could indicate cerebrovascular adaptations to lower oxygen pressures, although the evidence is of low certainty due to variability between studies.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.015
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.025
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0150.023
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.053
GPT teacher head0.314
Teacher spread0.262 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes2
Has abstractyes

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