ReviewTranslational gastroenterology and hepatology2022
A narrative review of nutritional abnormalities, complications, and optimization in the cirrhotic patient.
Review in Translational gastroenterology and hepatology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 6 citations in OpenAlex.
- Hepatoprotective potential of M3F, a benzimidazole pyrazole derivative, against paracetamol induced hepatotoxicity.Scientific reports · 2025Article
- Sarcopenia in chronic viral hepatitis: From concept to clinical relevance.World journal of hepatology · 2023Review
- A Low Daily Intake of Simple Sugars in the Diet Is Associated with Improved Liver Function in Cirrhotic Liver Transplant Candidates.Nutrients · 2023Article
- Cirrhosis and Sarcopenia.Seminars in interventional radiology · 2023Review
- Sarcopenia in the Cirrhotic Patient: Current Knowledge and Future Directions.Journal of clinical and experimental hepatologyReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe purpose of this manuscript is to identify the pathophysiology of the metabolic abnormalities observed in cirrhosis and to uncover associations, if any, to its complications, such as sarcopenia and hepatic encephalopathy (HE).
backgroundLiver dysfunction in cirrhosis is known to be a precipitating factor in the disruption of many physiological pathways, specifically nutrient metabolism. As a result, affected patients are highly susceptible to derangements of processes affecting multiple classes of macro- and micronutrients, including proteins, carbohydrates, electrolytes, vitamins, and minerals. These disruptions are thought to be contributory to the pathogenesis of known complications of cirrhosis.
methodsLiterature research of relevant topics was conducted for the above stated objective; sources were limited to articles from peer-reviewed journals published within the last 30 years.
conclusionThis research established that there is positive correlation between nutrient derangements and the increased risk of complications of cirrhosis, which themselves carry significant morbidity and mortality risk. It also established that some nutrient and electrolyte abnormalities are independent indicators of prognosis and adverse outcomes, such as mortality. This also highlights the importance of comprehension of anomalous metabolism and its complications as it necessitates serious consideration in clinical care. In addition to medical management, cirrhotic patients also require ancillary assessment, such as comprehensive nutritional evaluation, to identify and treat reversible nutritional derangements. This consideration provides the best opportunity to achieve maximal health outcomes in the cirrhotic patient population.
Indexed as
Identifiers
What 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.