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Record W4406156369 · doi:10.2196/65805

Implementation of Brief Submaximal Cardiopulmonary Testing in a High-Volume Presurgical Evaluation Clinic: Feasibility Cohort Study

2025· article· en· W4406156369 on OpenAlexvenueno aff
Zyad J. Carr, Daniel Agarkov, Judy Li, Jean Charchaflieh, Andres Brenes Bastos, Jonah Freund, Jill Zafar, Robert B. Schonberger, Paul M. Heerdt

Bibliographic record

VenueJMIR Perioperative Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsnot available
FundersNational Center for Advancing Translational Sciences
KeywordsPreprintVolume (thermodynamics)MedicinePhysical therapyComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

Abstract Objectives We tested the logistic feasibility of integrating brief submaximal cardiopulmonary exercise testing (smCPET) in a pre-surgical evaluation (PSE) clinic. Design Prospective open-label clinical device trial. Setting Pre-surgical evaluation clinic. Participants 43 participants who met criteria of i) age > 60 years old, ii) revised cardiac risk index of < 2, iii) self-reported metabolic equivalents (METs) of > 4.6 (i.e. ability to climb 2 flights of stairs), and iv) presenting for noncardiac surgery. Interventions Pre-intervention self-reported METs, Duke Activity Status Index (DASI) surveys, smCPET trial, Borg survey of perceived exertion, and post-intervention survey. Measurements : Feasibility endpoints were 1) operational efficiency as measured by length of time of experimental session < 20 minutes, 2) no more than moderate perceived physical exertion as quantified by a modified Borg survey of perceived exertion of < 7 in the absence of observed complications, 3) high participant satisfaction with smCPET task execution, represented as a score of > 8, and 4) high patient satisfaction with scheduling of smCPET testing, represented as a score of > 8. Results Session time was 16.9 minutes (±6.8). Post-test modified Borg survey was 5.35 (±1.8), corresponding to moderate perceived exertion. Satisfaction [on a scale of 1 (worst) to 10 (best)] regarding ease of smCPET tasks was 9.6 (±0.7) and mean patient satisfaction with smCPET scheduling was 9.5 (±1.5). Operational efficiency was achieved after 10-15 experimental sessions. Conclusions Our findings suggest that smCPET integration in a PSE clinic; 1) is time efficient 2) shows high participant satisfaction with task, and 3) rapidly achieved operational efficiency. Trial Registration ClinicalTrials.gov Registration: # NCT05743673 . Principal Investigator: Zyad J. Carr, M.D. Date of Registration: 5-12-2023. Strengths and limitations of this study We examined patient-and logistic-centered acceptance of study procedures within the environment of a high-volume preoperative surgical evaluation clinic. Study procedures were well tolerated, and participants readily accepted submaximal cardiopulmonary exercise testing with high satisfaction with device use, scheduling, and perceived exertion. User operational efficiency developed over 10-15 sessions of use. This feasibility study met our proposed endpoints but is comprised of a small sample of participants, limiting its generalizability to larger populations.

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)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.055
GPT teacher head0.422
Teacher spread0.367 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations3
Published2025
Admission routes1
Has abstractyes

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