MétaCan
Menu
Back to cohort
Record W2888606032 · doi:10.1152/ajpheart.00453.2018

A call to reevaluate cardiac autonomic assessment after spinal cord injury

2018· article· en· W2888606032 on OpenAlexafffund
Hisham Sharif, Michael F. La Fountaine, Jill M. Wecht, David S. Ditor

Bibliographic record

VenueAmerican Journal of Physiology-Heart and Circulatory Physiology · 2018
Typearticle
Languageen
FieldMedicine
TopicHeart Rate Variability and Autonomic Control
Canadian institutionsBrock University
FundersOntario Neurotrauma Foundation
KeywordsAutonomic functionSpinal cord injuryMedicineHeart rateHeart rate variabilityAutonomic nervous systemSpinal cordCardiac function curveCardiologyAnesthesiaInternal medicinePhysical medicine and rehabilitationBlood pressureHeart failure

Abstract

fetched live from OpenAlex

This "Perspectives" article puts forward the notion that measuring heart rate variability, or other forms of cardiac autonomic regulation, after spinal cord injury must be performed during a test of autonomic stress. Resting values of heart rate variability are often similar to those obtained from able-bodied individuals, which may therefore be falsely interpreted as normal or healthy autonomic regulation. However, evidence shows that despite normal resting values, cardiac autonomic control is impaired when individual with spinal cord injury are subjected to a cold face test, head-up tilt, or recovery from exercise. Accordingly, examination of cardiac autonomic function must be performed during an autonomic challenge, as resting measures do not accurately reflect the state of cardiovascular regulation after spinal cord injury and can provide false information.

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)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.007
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.003
Scholarly communication0.0030.005
Open science0.0020.002
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0020.001

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 head0.015
GPT teacher head0.315
Teacher spread0.300 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations4
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueAmerican Journal of Physiology-Heart and Circulatory PhysiologySame topicHeart Rate Variability and Autonomic ControlFrench-language works237,207