ArticleBosnian journal of basic medical sciences2010
The metabolic syndrome in patients on peritoneal dialysis: prevalence and influence on cardiovascular morbidity.
Article in Bosnian journal of basic medical sciences, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 7 citations in OpenAlex.
- Metabolic syndrome in peritoneal dialysis patients: choice of diagnostic criteria and prognostic implications.Clinical journal of the American Society of Nephrology : CJASN · 2014Article
- High glucose concentrations in peritoneal dialysate are associated with all-cause and cardiovascular disease mortality in continuous ambulatory peritoneal dialysis patients.Peritoneal dialysis international : journal of the International Society for Peritoneal DialysisArticle
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The metabolic syndrome (MS) is a multi-factorial disorder which includes a main risk factors associated with the development of cardiovascular, neurologic, renal and endocrine diseases, especially type 2 diabetes. This study has been conducted to estimate the prevalence of the MS in patients undergoing continuous ambulatory peritoneal dialysis (CAPD) and its association with cardiovascular morbidity. The study included 37 patients (25 type 2 diabetic patients and 12 non-diabetic patients), who had been on peritoneal dialysis for > 3 months. At the beginning of CAPD treatment (baseline) and at the end of follow-up, we measured: body mass index (BMI), blood pressure, fasting blood glucose, triglycerides and high-density lipoprotein cholesterol (HDLC) and defined the prevalence of the MS using the modified National Cholesterol Education Program (NCEP; Adult Treatment Panel III) for peritoneal dialysis patients. The overall prevalence of the MS was 89.2%. The metabolic syndrome was estimated in all (100%) type 2 diabetic patients (vs. 60% patients on the beginning of CAPD treatment). In non-diabetic peritoneal patients, the MS was estimated in 50% cases, according to 33.3% at the beginning CAPD treatment. Development of the MS was significantly higher in the type 2 diabetic patients in compared with non-diabetic patients until the end of follow-up examination (p=0.0005). The prevalence of LVH in type 2 diabetic patients with the MS was significantly higher (p=0.002) than in non-diabetic peritoneal patients with the MS. We didn't found statistical significantly difference in the prevalence of ischemic heart disease between this two category of peritoneal dialysis patients (p=0.076). The results indicate that the metabolic syndrome is presented in high percentage in peritoneal dialysis patients, and it's also important risk factor of high cardiovascular morbidity rate in these patients, especially in type 2 diabetic patients.
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.