Modelflow estimates of cardiac output compared with Doppler ultrasound during acute changes in vascular resistance in women
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.
Bibliographic record
Abstract
We compared Modelflow (MF) estimates of cardiac stroke volume (SV) from the finger pressure-pulse waveform (Finometer) with pulsed Doppler ultrasound (DU) of the ascending aorta during acute changes in total peripheral resistance (TPR) in the supine and head-up-tilt (HUT) postures. Twenty-four women were tested during intravenous infusion of 0.005 or 0.01 microg kg(-1) min(-1) isoprenaline, 10 or 50 ng kg(-1) min(-1) noradrenaline and 0.3 mg sublingual nitroglycerine. Responses to static hand-grip exercise (SHG), graded lower body negative pressure (LBNP, from 20 to 45 mmHg) and 45 deg HUT were evaluated on separate days. Bland-Altman analysis indicated that SV(MF) yielded lower estimates than SV(DU) during infusion of 0.01 microg kg(-1) min(-1) isoprenaline (SV(MF) 92.7 +/- 15.5 versus SV(DU) 104.3 +/- 22.9 ml, P = 0.03) and SHG (SV(MF) 78.8 +/- 12.0 versus SV(DU) 106.1 +/- 28.5 ml, P < 0.01), while larger estimates were recorded with SV(MF) during 45 mmHg LBNP (SV(MF) 52.6 +/- 10.7 versus SV(DU) 46.2 +/- 14.5 ml, P = 0.04) and HUT (SV(MF) 59.3 +/- 13.6 versus SV(DU) 45.2 +/- 11.3 ml, P < 0.01). Linear regression analysis revealed a relationship (r(2) = 0.41, P < 0.01) between the change in TPR from baseline and the between-methods discrepancy in SV measurements. This relationship held up under all of the experimental protocols (regression for fixed effects, P = 0.46). These results revealed a discrepancy in MF estimates of SV, in comparison with those measured by DU, during acute changes in TPR.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it