MétaCan
Menu
Back to cohort
Record W2930117093 · doi:10.1111/echo.14319

Diagnosis and follow‐up of idiopathic dilatation of inferior vena cava

2019· article· en· W2930117093 on OpenAlexaff
Ify Mordi, Usha Manian, Rodrigo Bagur, Nikolaos Tzemos

Bibliographic record

VenueEchocardiography · 2019
Typearticle
Languageen
FieldMedicine
TopicVascular anomalies and interventions
Canadian institutionsLondon Health Sciences CentreWestern University
Fundersnot available
KeywordsMedicineInferior vena cavaMagnetic resonance imagingProspective cohort studyCardiologyCohortInternal medicineRadiologyCardiac magnetic resonanceCardiac magnetic resonance imagingVenous return curveHemodynamics

Abstract

fetched live from OpenAlex

In the absence of cardiac pathology, the presence of a dilated inferior vena cava (IVC) is considered idiopathic. To date, this phenomenon has only been described in athletic individuals as an adaptation to chronically augmented venous return. This is the largest prospective cohort study, following ten individuals with idiopathic dilated IVC against an age-matched control group with annual echocardiograms and cardiac magnetic resonance (CMR) imaging for a median of 55 months. No significant difference was found between echocardiography and CMR measurements in IVC diameter assessment both at baseline and at follow-up. Over the study period, there was no significant progression of the IVC in diameter as measured either by echocardiography or CMR. None of the patients suffered any cardiovascular events, and there were no hospitalizations. Our findings indicate the benign nature of this condition and provide reassurance with regard to future clinical implications.

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)0.000
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.011
GPT teacher head0.250
Teacher spread0.238 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueEchocardiographySame topicVascular anomalies and interventionsFrench-language works237,207