ReviewMetabolic brain disease2024
Systems of care that improve outcomes for people with hepatic encephalopathy.
Review in Metabolic brain disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hepatic encephalopathy (HE) is a critical neuropsychiatric complication of liver cirrhosis with a significant impact on patient quality of life and survival. The global prevalence of cirrhosis and associated HE necessitates a comprehensive understanding of the condition and effective systems of care to optimize outcomes. This review addresses the epidemiology, classification, diagnosis, and management of HE, with an emphasis on systems of care that improve outcomes for people with HE. Current diagnostic challenges include differentiating cognitive deficits attributable to HE from those caused by other etiologies, highlighting the need for accurate diagnostic methods. Traditional psychometric tests, while valuable for diagnosing covert HE (CHE), are limited in their ability to predict overt HE (OHE) due to various confounding factors. As a result, non-psychometric tools have been developed to provide outcome-based predictions aligned with the clinical course of HE. The management of HE includes addressing precipitating factors, pharmacologic interventions to reduce ammonia levels, and supportive care, with lactulose and rifaximin playing a central role. Preventive strategies with the use of remote monitoring in the outpatient management of HE, integrating technology for real-time tracking of therapy compliance and symptom evolution, could contribute to reducing hospital readmissions and improving patient care.
Indexed as
Identifiers
39621162What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.