ArticleCureus2024
Comprehensive Clinical Profile and Hemodialysis Outcomes in Patients Attending a Tertiary Care Hospital.
Article in Cureus, 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.
- Clinical Profile and Complications Experienced by Chronic Kidney Disease Patients undergoing Hemodialysis in a Tertiary Hospital of Nepal: An Observational Study.JNMA; journal of the Nepal Medical Association · 2025Observational
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Chronic kidney disease (CKD) can lead to serious conditions such as anemia and cardiovascular disease, posing a growing global health challenge. End-stage renal disease (ESRD) requires treatments such as dialysis or kidney transplantation. Despite the widespread impact and rising prevalence of CKD and ESRD, comprehensive data remains limited in India. This study seeks to investigate the clinical, socio-demographic, and etiological profiles of CKD patients undergoing hemodialysis at a tertiary care hospital, with the goal of enhancing understanding and improving patient care. Methodology This retrospective cohort study, conducted at a tertiary care center, included 500 CKD patients undergoing hemodialysis, with comprehensive medical records. Data collected covered demographics (age, sex, education, and occupation), CKD etiology, disease duration, hemodialysis duration, viral marker status, blood transfusions, and vascular access details. With continuous variables reported as mean ± standard deviation (SD) and categorical variables as counts (percentages), statistical analysis was carried out using SPSS version 21 (IBM Corp., Armonk, New York, USA). The connections were examined using the Pearson Chi-square test, with P≤0.05 being deemed significant. Results The study revealed that hypertension was the primary cause of CKD in 58% of patients, followed by diabetes mellitus in 13%. A significant 93% of patients tested negative for viral markers such as human immunodeficiency virus (HIV), hepatitis C virus (HCV), and hepatitis B surface antigen (HBsAg). Hemodialysis duration varied, with 68% of patients undergoing dialysis for one to five years. Most patients had two (40%) or three (58%) dialysis sessions per week, and 84% had only one arteriovenous (AV) fistula surgery. Blood transfusions were common, with 62% of patients receiving between one and five transfusions. The gender distribution showed more males (372) than females (201), and the majority of patients were aged between 41 and 60 years. Conclusion This study highlights the importance of early detection and management of CKD, emphasizing preventive health measures, enhanced diagnostic capabilities, and sufficient resource allocation to reduce the disease burden. It also calls for further research into unknown CKD causes and strategies to improve patient care and outcomes.
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.