MétaCan
Menu
← Back to cohort

Mistaken Case of Pulmonary Hypertension: Tricuspid Regurgitation Doppler Signal Contamination from an Apical Ventricular Septal Defect

2022· preprint· en· W4311153846 on OpenAlexaff
Liane A. Arcinas, Robin Ducas

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicPulmonary Hypertension Research and Treatments
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMedicinePulmonary hypertensionCardiologyRegurgitation (circulation)Internal medicineCardiac catheterizationVentricular pressureDoppler echocardiographyBlood pressureHemodynamicsDiastole

Abstract

fetched live from OpenAlex

A 25-year-old female with interstitial lung disease underwent a transthoracic echocardiogram (TTE) for exertional dyspnea. This was initially reported as suspicious for pulmonary hypertension due to a significantly elevated right ventricular systolic pressure (RVSP). Cardiac catheterization showed normal cardiac and pulmonary pressures, ruling out pulmonary hypertension. Review of her TTE images revealed an apically located muscular ventricular septal defect with flow directed towards the tricuspid valve. This created a doppler jet signal that was mistaken to be that of tricuspid regurgitation which led to a miscalculation of the RVSP.

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)0.001
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.009
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0060.003
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 head0.044
GPT teacher head0.316
Teacher spread0.272 · 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 designCase report
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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same topicPulmonary Hypertension Research and Treatments→French-language works237,207→