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Record W4403175432 · doi:10.1055/a-2435-2091

Patient-Reported Outcomes in Metabolic Dysfunction-Associated Steatotic Liver Disease

2024· review· en· W4403175432 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSeminars in Liver Disease · 2024
Typereview
Languageen
FieldMedicine
TopicLiver Disease Diagnosis and Treatment
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSteatohepatitisMedicineDyslipidemiaCirrhosisMetabolic syndromeQuality of life (healthcare)Context (archaeology)DiseaseIntensive care medicineLiver diseaseDiabetes mellitusType 2 diabetesFatty liverObesityInternal medicineEndocrinology

Abstract

fetched live from OpenAlex

Metabolic dysfunction-associated steatotic liver disease (MASLD) is the most common chronic liver disease worldwide and can progress to serious complications, including metabolic dysfunction-associated steatohepatitis (MASH), cirrhosis, end-stage liver disease, and hepatocellular carcinoma. Predisposing risk factors for MASH include obesity, type 2 diabetes, dyslipidemia, and metabolic syndrome. Patients with MASH often experience significant impairments in their health-related quality of life and other patient-reported outcomes (PROs), particularly in physical functioning domains, fatigue, and vitality. Incorporating PROs offers valuable insights into patients' perspectives on their symptoms, treatment efficacy, and overall well-being, thereby guiding more holistic and patient-centered care strategies. This review aims to investigate the utilization of patient-reported outcome measures (PROMs) in the context of MASLD and MASH care, identify which PROMs are employed, and summarize the outcomes reported.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.505
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.030
GPT teacher head0.311
Teacher spread0.282 · 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