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Record W7125639419 · doi:10.5937/siks2002047k

COVID-19: Our story - the beginning

2020· article· en· W7125639419 on OpenAlexaff
Hadži Karamarković, Željko Delić, Goran Grujić, Ana Dulič, Verica Pajić, Tatjana Halupa, Jelena Jakovljević

Bibliographic record

VenueSrce i krvni sudovi · 2020
Typearticle
Languageen
FieldMedicine
TopicCOVID-19 Clinical Research Studies
Canadian institutionsVictoria General Hospital
Fundersnot available
KeywordsFulminantMyocarditisAcute coronary syndromeDiseasePresentation (obstetrics)Cardiogenic shockEmergency department

Abstract

fetched live from OpenAlex

Background. Cardiovascular diseases are common in patients with coronavirus disease 2019 (COVID-19) and carry the risk of developing a severe clinical presentation varies from a syndrome similar to acute coronary syndrome and acute fulminant myocarditis to cardiogenic shock. Case reports. This paper presents a patient with a history of cardiovascular and pulmonary diseases admitted to the hospital with COVID-19 and LV dysfunction. Our main findings are that cardiac involvement can occur with COVID-19 with signs of the respiratory tract and symptoms of infection. We diagnosed COVID-19, which triggered the emergency on our department. We have never experienced anything like this before. Conclusion. Myocardial injury has a significant association with fatal outcomes of COVID-19, while the prognosis of patients with underlying CVD but without myocardial injury appears relatively favorable.

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)0.002
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.009
Open science0.0010.002
Research integrity0.0100.022
Insufficient payload (model declined to judge)0.0030.002

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 head0.135
GPT teacher head0.467
Teacher spread0.332 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2020
Admission routes1
Has abstractyes

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