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Record W3138067524 · doi:10.1097/mog.0000000000000733

Advances in cirrhotic cardiomyopathy

2021· review· en· W3138067524 on OpenAlexaff
Hongqun Liu, Ki Tae Yoon, Jing Zhang, Samuel S. Lee

Bibliographic record

VenueCurrent Opinion in Gastroenterology · 2021
Typereview
Languageen
FieldMedicine
TopicLiver Disease and Transplantation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsCardiomyopathyMedicineCardiologyInternal medicineHeart failure

Abstract

fetched live from OpenAlex

PURPOSE OF REVIEW: Cirrhotic cardiomyopathy (CCM) is a well-recognized entity. When patients with CCM encounter challenges such as liver transplantation, overt cardiac dysfunction manifests, leading to morbidity and mortality. Although revised diagnostic criteria for CCM have recently been proposed, these still need to be validated. RECENT FINDINGS: Previous reviews have summarized the mechanisms of CCM, such as abnormalities of the β-adrenergic pathway, cardiac plasma membrane biophysical and biochemical properties, and electrophysiological changes. Cardiomyocyte apoptosis, inflammation, and oxidative stress also play important roles. The present review details further mechanisms of CCM, which include myosin heavy chain isoform shifts and abnormalities in cellular calcium transients. Additionally, we review recent studies on therapeutic strategies. Recent work underscores the importance of CCM in the natural history of the immediate and medium-term postoperative period after liver transplantation. Appropriate management strategies for CCM remain the area of greatest unmet need, requiring much further research. SUMMARY: CCM is a clinically relevant syndrome affecting patients with cirrhosis, leading to increased morbidity and mortality. New diagnostic criteria have been recently proposed by an expert working group. The pathogenic mechanisms remain incompletely clarified and optimal management strategies need much further study.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.908
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.000
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 head0.066
GPT teacher head0.400
Teacher spread0.333 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations19
Published2021
Admission routes1
Has abstractyes

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