Clinical and genetic characteristics of Korean autosomal dominant polycystic kidney disease patients

Oh, Yun Kyu; Park, Hayne Cho; Ryu, Hyunjin; Kim, Yong Chul; Oh, Kook Hwan

doi:10.3904/kjim.2021.176

Cited by 11 publications

(14 citation statements)

References 74 publications

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“…The number of connections for a MeSH term in an article was computed using the weight (W i ) shown in Equation (1), where L denotes the number of MeSH terms in an article, and j represents the location in an article. In SNA, each MeSH term defined as a note earns the centrality degree (CD) computed using Equation (2), where n denotes the journal sample size, and the CD for a given MeSH term is determined by using the summed weights in the given journal.…”

Section: Data Arrangement To Fit the Sna Requirementmentioning

confidence: 99%

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Predicting the number of citations of polycystic kidney disease with 100 top-cited articles since 2010: Bibliometric analysis

et al. 2022

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Background: Polycystic kidney disease (PKD) is a genetic disorder in which the renal tubules become structurally abnormal, resulting in the development and growth of multiple cysts within the kidneys. Numerous studies on PKD have been published in the literature. However, no such articles used medical subject headings (MeSH terms) to predict the number of article citations. This study aimed to predict the number of article citations using 100 top-cited PKD articles (T100PKDs) and dissect the characteristics of influential authors and affiliated counties since 2010.Methods: We searched the PubMed Central® (PMC) database and downloaded 100PKDs from 2010. Citation analysis was performed to compare the dominant countries and authors using social network analysis (SNA). MeSh terms were analyzed by referring to their citations in articles and used to predict the number of article citations using its correlation coefficients (CC) to examine the prediction effect. Results:We observed that the top 3 countries and journals in 100PKDs were the US (65%), Netherlands (7%), France (5%), J Am Soc Nephrol (21%), Clin J Am Soc Nephrol (8%), and N Engl J Med (6%); the most cited article (PMID = 23121377 with 473 citations) was authored by Vicente Torres from the US in 2012; and the most influential MeSH terms were drug therapy (3087.2), genetics (2997.83), and therapeutic use (2760.7). MeSH terms were evident in the prediction power of the number of article citations (CC = 0.37; t = 3.92; P < .01, n = 100).Conclusions: A breakthrough was made by developing a method using MeSH terms to predict the number of article citations based on 100PKDs. MeSH terms are evident in predicting article citations that can be applied to future research, not limited to PKD, as we did in this study.

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Section: Data Arrangement To Fit the Sna Requirementmentioning

confidence: 99%

“…[ 1 ] The disease is common in both children and adults and leads to the progressive loss of kidney function. [ 2 , 3 ] Common symptoms, including arterial hypertension, recurrent urinary tract infection, and nephrolithiasis, cause structural abnormalities as a result of increased dysfunction and abdominal pain in patients with PKD.…”

Section: Introductionmentioning

confidence: 99%

Predicting the number of citations of polycystic kidney disease with 100 top-cited articles since 2010: Bibliometric analysis

et al. 2022

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“…Autosomal dominant polycystic kidney disease (ADPKD) is the most common inherited cystic kidney disease resulting in end-stage kidney disease [ 1 ]. In ADPKD, as multiple cysts grow from kidney tubules, they compress renal tissue and vascular structures, and renal ischemia and inflammation eventually result in kidney failure [ 2 ]. Recently, novel drugs including the vasopressin receptor antagonist have been introduced to attenuate cyst growth and renal function decline for ADPKD patients [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

Mayo imaging classification is a good predictor of rapid progress among Korean patients with autosomal dominant polycystic kidney disease: results from the KNOW-CKD study

Park

Hong

Yeon

et al. 2022

Kidney Res Clin Pract

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Background: Mayo imaging classification (MIC) is a useful biomarker to predict disease progression in autosomal dominant polycystic kidney disease (ADPKD). This study was performed to validate MIC in the prediction of renal outcome in a prospective Korean AD-PKD cohort and evaluate clinical parameters associated with rapid disease progression. Methods: A total of 178 ADPKD patients were enrolled and prospectively observed for an average duration of 6.2 ± 1.9 years. Rapid progressor was defined as MIC 1C through 1E while slow progressor was defined as 1A through 1B. Renal composite outcome (doubling of serum creatinine, 50% decline of estimated glomerular filtration rate [eGFR], or initiation of renal replacement therapy) as well as the annual percent change of height-adjusted total kidney volume (mHTKV-α), and eGFR decline (mGFR-α) were compared between groups. Results: A total of 110 patients (61.8%) were classified as rapid progressors. These patients were younger and showed a higher proportion of male patients. Rapid progressor was an independent predictor for renal outcome (hazard ratio, 4.09; 95% confidence interval, 1.23-13.54; p = 0.02). The mGFR-α was greater in rapid progressors (-3.58 mL/min per year in 1C, -3.7 in 1D, and -4.52 in 1E) compared with that in slow progressors (-1.54 in 1A and -2.06 in 1B). The mHTKV-α was faster in rapid progressors (5.3% per year in 1C, 9.4% in 1D, and 11.7% in 1E) compared with that in slow progressors (1.2% in 1A and 3.8% in 1B). Conclusion: MIC is a good predictive tool to define rapid progressors in Korean ADPKD patients.

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“…The kidney function gradually decreases leading to end-stage kidney disease (ESKD) in 50% of patients in their sixth decade 1) . It is reported that ADPKD occurs in about 1 in 400 to 1,000 at birth 2) and estimated that 1 in 10,000 are treated with APDKD based on the data from the Health Care Big Data Hub in Korea 3) . ADPKD is caused by mutations in the PKD1 and PKD2 genes.…”

Section: Introductionmentioning

confidence: 99%

Practical Issues in the Management of Polycystic Kidney Disease: Blood Pressure and Water Balance

Park

2022

Electrolyte Blood Press

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Autosomal dominant polycystic kidney disease is the most common hereditary renal disease affecting more than 13 million people worldwide. Renal function deteriorates as the cysts in both kidneys increase in number and size, which eventually results in end-stage kidney failure. Until recently, conservative management for chronic kidney disease such as blood pressure control, low sodium diet, adequate water intake, and weight control were known for the only treatment of polycystic kidney disease. However, the introduction of disease-modifying drug has led to the new paradigm shift in the management of polycystic kidney disease. Tolvaptan, the vasopressin V2 receptor antagonist, has been introduced to the patients with large kidneys since it can inhibit cyclic adenosine monophosphate, attenuates cyst growth, and delays renal failure. This article reviews the two important practical issues in the management of polycystic kidney disease: blood pressure and water balance. Firstly, the article will review the pathogenesis of high blood pressure in polycystic kidney disease and will demonstrate the current up-to-date management plan for blood pressure control. Secondly, this article will explain the mechanism of Tolvaptan on the treatment of polycystic kidney disease and its possible adverse effect on water and sodium balance.

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Clinical and genetic characteristics of Korean autosomal dominant polycystic kidney disease patients

Cited by 11 publications

References 74 publications

Predicting the number of citations of polycystic kidney disease with 100 top-cited articles since 2010: Bibliometric analysis

Predicting the number of citations of polycystic kidney disease with 100 top-cited articles since 2010: Bibliometric analysis

Mayo imaging classification is a good predictor of rapid progress among Korean patients with autosomal dominant polycystic kidney disease: results from the KNOW-CKD study

Practical Issues in the Management of Polycystic Kidney Disease: Blood Pressure and Water Balance

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