A retrospective analysis of glucose intolerance in individuals with liver cirrhosis

The prediction of liver cirrhosis can be affected by diabetes mellitus (DM), a worldwide health issue that can impair the body's metabolic processes. Patients with liver cirrhosis benefit from knowing their glycemic status that problems can be anticipated and treated sooner, improving their prognosis. Impaired glucose tolerance (IGT) can be understated utilizing standard approaches. The research utilized an oral glucose tolerance test (OGTT) to recognize the popularity of IGT in individuals with liver cirrhosis who are not diagnosed with diabetes. The dataset for the research would include individuals diagnosed with liver cirrhosis who have not been diagnosed with diabetes mellitus. It would encompass demographic details (N=80) such as age, gender, and medical history, along with liver function parameters including liver enzymes, bilirubin, and albumin levels. Statistical analysis was conducted using IBM SPSS Statistics (Version 26.0) software. Independent t-tests were applied to compare continuous variables, while chi-square tests were used to analyze categorical variables. The frequency of IGT in the research was 36.47 percent. In addition to IGT, observed that DM was more frequent in those aged 31-40; of the 80 patients analyzed in research, 24.71 percent were diagnosed with DM. OGTT can improve liver cirrhosis prognosis by detecting diabetes and insulin resistance in patients, potentially reducing the risk of complications due to poor glucose management.

Authors

Institutions

Publication Details

Journal
Health Leadership and Quality of Life
Published
2025-05-20
DOI
https://doi.org/10.56294/hl2025616
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A retrospective analysis of glucose intolerance in individuals with liver cirrhosis

Sandhya Sriram, Jayaraman Bamalakshmi, Chhaya Agarwal, Anees Fathima Thabassum et al.
Health Leadership and Quality of Life
Liver Disease Diagnosis and Treatment
article

A retrospective analysis of glucose intolerance in individuals with liver cirrhosis

Sandhya Sriram, Jayaraman Bamalakshmi, Chhaya Agarwal, Anees Fathima Thabassum, Rajini Sudhir, Yuvraj Parmar
article en

Abstract

The prediction of liver cirrhosis can be affected by diabetes mellitus (DM), a worldwide health issue that can impair the body's metabolic processes. Patients with liver cirrhosis benefit from knowing their glycemic status that problems can be anticipated and treated sooner, improving their prognosis. Impaired glucose tolerance (IGT) can be understated utilizing standard approaches. The research utilized an oral glucose tolerance test (OGTT) to recognize the popularity of IGT in individuals with liver cirrhosis who are not diagnosed with diabetes. The dataset for the research would include individuals diagnosed with liver cirrhosis who have not been diagnosed with diabetes mellitus. It would encompass demographic details (N=80) such as age, gender, and medical history, along with liver function parameters including liver enzymes, bilirubin, and albumin levels. Statistical analysis was conducted using IBM SPSS Statistics (Version 26.0) software. Independent t-tests were applied to compare continuous variables, while chi-square tests were used to analyze categorical variables. The frequency of IGT in the research was 36.47 percent. In addition to IGT, observed that DM was more frequent in those aged 31-40; of the 80 patients analyzed in research, 24.71 percent were diagnosed with DM. OGTT can improve liver cirrhosis prognosis by detecting diabetes and insulin resistance in patients, potentially reducing the risk of complications due to poor glucose management.

Health Leadership and Quality of LifeVol. 4
Jaypee Institute of Information Technology (IN), Academy of Nutrition and Dietetics (US), Noida International University (IN), Advanced Numerical Research and Analysis Group (IN), Sri Balaji Vidyapeeth University (IN), Chitkara University (IN)
Openalex Percentile: Top 82%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.