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Record W3038423312 · doi:10.14740/jmc3500

A Case of COVID-19 Complicated by Venous Thromboembolism Despite Being on Prophylactic Anticoagulation

2020· article· en· W3038423312 on OpenAlexvenueno aff
Amit Rout, Abigail Chan

Bibliographic record

VenueJournal of Medical Cases · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineARDSAsymptomaticPulmonary embolismCoronavirus disease 2019 (COVID-19)Venous thromboembolismRespiratory failureDiseaseAcute respiratory distressIntensive care medicineInternal medicineLungThrombosisInfectious disease (medical specialty)

Abstract

fetched live from OpenAlex

The coronavirus disease 2019 (COVID-19) presents with variable clinical syndromes, from asymptomatic disease to acute respiratory failure. Complications such as acute respiratory distress syndrome (ARDS), secondary infection, acute cardiac injury, liver failure, renal failure, coagulable disorders and in many cases, death have been recognized. Venous thromboembolism (VTE) was found to be present in up to one-third of critically ill COVID-19 patients. Our case demonstrated a patient with COVID-19 who developed a massive pulmonary embolism leading to cardiac arrest, despite having an initial normal D-dimer level, normal chest imaging, and while maintained on appropriate VTE prophylaxis during hospitalization.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.150
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.517
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.150
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.138
GPT teacher head0.463
Teacher spread0.325 · 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 teacher head, not a consensus.

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

Citations3
Published2020
Admission routes1
Has abstractyes

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