cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.28479812
title: Bibliometric insights into systemic sclerosis with renal involvement: trends, contributions, and future directions

description: Renal involvement is not uncommon in patients with systemic sclerosis (SSc) and presents in various forms, particularly progressing to scleroderma renal crisis (SRC), which is associated with poor prognosis. Therefore, understanding the research trends in this field is critical for advancing clinical management and therapeutic strategies. A bibliometric analysis was conducted using the Web of Science Core Collection, examining publications related to SSc and renal involvement from January 2000 to November 2024. We analyzed publication trends, key contributors, institutions, and countries. A total of 1,339 publications were identified in the field of SSc and renal involvement, demonstrating an upward trend in publication volume from 2000 to 2024. These articles have been cited a total of 61,234 times, with the majority of contributions coming from the United States, Italy, and East Asian countries. The University of Michigan and University College London were particularly prominent in terms of both publication volume and collaboration networks. Keyword analysis revealed a shift in research focus, with increasing attention on clinical aspects, pathophysiological mechanisms, and vascular complications This study provides a comprehensive overview of the research landscape on SSc with renal involvement, highlighting the key contributors and emerging trends.
DOI: 10.6084/m9.figshare.28479812.v1
title: Bibliometric insights into systemic sclerosis with renal involvement: trends, contributions, and future directions

description: Renal involvement is not uncommon in patients with systemic sclerosis (SSc) and presents in various forms, particularly progressing to scleroderma renal crisis (SRC), which is associated with poor prognosis. Therefore, understanding the research trends in this field is critical for advancing clinical management and therapeutic strategies. A bibliometric analysis was conducted using the Web of Science Core Collection, examining publications related to SSc and renal involvement from January 2000 to November 2024. We analyzed publication trends, key contributors, institutions, and countries. A total of 1,339 publications were identified in the field of SSc and renal involvement, demonstrating an upward trend in publication volume from 2000 to 2024. These articles have been cited a total of 61,234 times, with the majority of contributions coming from the United States, Italy, and East Asian countries. The University of Michigan and University College London were particularly prominent in terms of both publication volume and collaboration networks. Keyword analysis revealed a shift in research focus, with increasing attention on clinical aspects, pathophysiological mechanisms, and vascular complications This study provides a comprehensive overview of the research landscape on SSc with renal involvement, highlighting the key contributors and emerging trends.
DOI: 10.6084/m9.figshare.29039735
title: Autosomal dominant polycystic kidney disease: an overview of recent genetic and clinical advances

description: Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most common inherited kidney disease, characterized by the progressive development of multiple kidney cysts, leading to a gradual decline in kidney function. ADPKD is also the fourth leading cause of kidney failure (KF) in adults. In addition to kidney manifestations, ADPKD is associated with various extrarenal features, including liver cysts, cardiovascular abnormalities, intracranial aneurysms, and chronic pain with significant impact on patients’ quality of life. While several disease-modifying agents have been tested in ADPKD, tolvaptan remains the only approved drug by the US Food and Drug Administration. The Mayo Imaging Classification is currently the most practical tool for predicting rate of kidney disease progression in ADPKD. This review provides a comprehensive overview of ADPKD, focusing on its genetics, pathophysiology, clinical presentation, management, and prognostic tools. Advances in diagnostic imaging and genetic testing have improved the early detection of ADPKD, allowing better classification of patients and prediction of KF. The review also discusses current therapeutic approaches to ADPKD, including tolvaptan, a vasopressin V2-receptor antagonist. Additionally, we address specific issues in children and pregnant individuals with ADPKD. Despite substantial progress in understanding ADPKD, there is a large need for additional effective treatments and prognostic markers to provide a more personalized care for these patients.
DOI: 10.6084/m9.figshare.28536657
title: Kidney function and cognitive impairment: a systematic review and meta-analysis

description: A worldwide evaluation exploring the link between a broad-spectrum kidney function and cognitive impairment (CI) prevalence, and related risk factors has yet to be conducted. Studies published before November 2024 were retrieved from PubMed and Web of Science. R software (R Foundation for Statistical Computing, Vienna, Austria) and Review Manager (Cochrane Collaboration, London, UK) were used to analyze the relationship of CI with various estimated glomerular filtration rate (eGFR) level and the associated risk factors. A random model effect was adopted for a heterogeneity (<i>I</i><sup>2</sup>) of more than 50%. Seventeen (involving 32,141 participants) out of 5892 studies were included. The MMSE and MoCA were the most commonly used tests to assess cognitive function. The prevalence of CI raised significantly with declining kidney function: 10% for eGFR ≥60 mL/min/1.73 m<sup>2</sup>, 47.3% for 60–30 mL/min/1.73 m<sup>2</sup>, and 60.6% for &lt;30 mL/min/1.73 m<sup>2</sup>, totaling 16.7% overall. Thirteen potential risk factors were ascertained and analyzed. In the forest-plot analysis, T2DM, cardiovascular diseases, cerebrovascular diseases, and lower education emerged as strong predictors of risk, with odds ratios of 1.55, 1.63, 1.95, and 2.59, respectively. A mean meta-analysis of the continuous variable indicators revealed that advanced age and elevated parathyroid hormone (PTH) levels were statistically significant in the occurrence of CI. The poorer the renal function, the higher the prevalence rate of CI. Patients with chronic kidney disease (CKD) have multiple risk factors that lead to CI.
DOI: 10.6084/m9.figshare.28536657.v1
title: Kidney function and cognitive impairment: a systematic review and meta-analysis

description: A worldwide evaluation exploring the link between a broad-spectrum kidney function and cognitive impairment (CI) prevalence, and related risk factors has yet to be conducted. Studies published before November 2024 were retrieved from PubMed and Web of Science. R software (R Foundation for Statistical Computing, Vienna, Austria) and Review Manager (Cochrane Collaboration, London, UK) were used to analyze the relationship of CI with various estimated glomerular filtration rate (eGFR) level and the associated risk factors. A random model effect was adopted for a heterogeneity (<i>I</i><sup>2</sup>) of more than 50%. Seventeen (involving 32,141 participants) out of 5892 studies were included. The MMSE and MoCA were the most commonly used tests to assess cognitive function. The prevalence of CI raised significantly with declining kidney function: 10% for eGFR ≥60 mL/min/1.73 m<sup>2</sup>, 47.3% for 60–30 mL/min/1.73 m<sup>2</sup>, and 60.6% for &lt;30 mL/min/1.73 m<sup>2</sup>, totaling 16.7% overall. Thirteen potential risk factors were ascertained and analyzed. In the forest-plot analysis, T2DM, cardiovascular diseases, cerebrovascular diseases, and lower education emerged as strong predictors of risk, with odds ratios of 1.55, 1.63, 1.95, and 2.59, respectively. A mean meta-analysis of the continuous variable indicators revealed that advanced age and elevated parathyroid hormone (PTH) levels were statistically significant in the occurrence of CI. The poorer the renal function, the higher the prevalence rate of CI. Patients with chronic kidney disease (CKD) have multiple risk factors that lead to CI.
DOI: 10.6084/m9.figshare.28571039
title: Association between life’s essential 8 and diabetic kidney disease: a population-based study

description: Diabetic patients are highly susceptible to cardiovascular and renal diseases. As a newly updated comprehensive index for assessing cardiovascular health (CVH), Life’s essential 8 (LE8) has the potential to serve as a practical tool for evaluating the risk of diabetic kidney disease (DKD). We are committed to exploring the relationship between LE8 and its subscales with DKD in diabetic patients, aiming to provide preliminary evidence for the formulation of clinical strategies. A total of 3,715 NHANES participants were included in this study, representing 18.9 million non-institutionalized residents of the United States. The mean age of all subjects was 59.72 years, and the weighted prevalence of DKD among diabetic patients was 36.39%. After adjusting for potential confounding factors, it was found that compared to the low LE8 group, the risk of developing DKD was significantly lower in the moderate LE8 group (OR: 0.54, 95% CI: 0.43-0.66) and the high LE8 group (OR: 0.18, 95% CI: 0.08-0.42). A similar trend was observed across the subscales of the LE8 score. The results of the fully adjusted restricted cubic spline regression analysis revealed a linear relationship between LE8 and its subscales with DKD. The findings remained consistent in subgroup and sensitivity analyses, with no significant interactions observed between subgroups. Higher scores on the LE8 and its subscales were associated with a lower risk of developing DKD. However, the long-term causal relationship between LE8 and DKD risk necessitates further validation and exploration through large-scale, rigorously designed prospective studies.
DOI: 10.6084/m9.figshare.28571039.v1
title: Association between life’s essential 8 and diabetic kidney disease: a population-based study

description: Diabetic patients are highly susceptible to cardiovascular and renal diseases. As a newly updated comprehensive index for assessing cardiovascular health (CVH), Life’s essential 8 (LE8) has the potential to serve as a practical tool for evaluating the risk of diabetic kidney disease (DKD). We are committed to exploring the relationship between LE8 and its subscales with DKD in diabetic patients, aiming to provide preliminary evidence for the formulation of clinical strategies. A total of 3,715 NHANES participants were included in this study, representing 18.9 million non-institutionalized residents of the United States. The mean age of all subjects was 59.72 years, and the weighted prevalence of DKD among diabetic patients was 36.39%. After adjusting for potential confounding factors, it was found that compared to the low LE8 group, the risk of developing DKD was significantly lower in the moderate LE8 group (OR: 0.54, 95% CI: 0.43-0.66) and the high LE8 group (OR: 0.18, 95% CI: 0.08-0.42). A similar trend was observed across the subscales of the LE8 score. The results of the fully adjusted restricted cubic spline regression analysis revealed a linear relationship between LE8 and its subscales with DKD. The findings remained consistent in subgroup and sensitivity analyses, with no significant interactions observed between subgroups. Higher scores on the LE8 and its subscales were associated with a lower risk of developing DKD. However, the long-term causal relationship between LE8 and DKD risk necessitates further validation and exploration through large-scale, rigorously designed prospective studies.
DOI: 10.15468/dl.5qyax2
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((121.15226 38.60539,122.00677 38.90828,122.58163 39.35419,123.74687 39.70171,124.41494 39.84501,125.02087 40.53338,125.06748 41.21475,125.20731 41.63414,124.53923 42.60216,123.40506 42.69359,121.96016 42.75066,120.8726 42.60216,120.0647 41.99311,120.71724 42.62503,120.00256 42.62503,118.75963 42.02774,118.58873 41.28484,118.82178 40.45067,119.44324 40.24938,120.48419 40.20193,121.15226 38.60539))",
 "HasGeospatialIssue is false",
 "TaxonKey is Anas acuta Linnaeus, 1758",
 "Year 2000-2020"
 ]
}

 The dataset includes 40 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029650-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.28057723
title: The correlation between protein energy wasting and the incidence of main adverse cardiovascular events in adult maintenance hemodialysis patients: a single-center retrospective cohort study

description: Protein energy wasting (PEW) is prevalent in adult maintenance hemodialysis (MHD) patients. Concurrently, cardiovascular diseases (CVD) remain a leading cause of mortality in MHD patients. However, the relationship between PEW and CVD in MHD patients remains unclear. We conducted a retrospective cohort study at Shanghai East Hospital. According to the inclusion and exclusion criteria, a total of 210 adult MHD patients were finally enrolled. Patients were categorized into two groups based on PEW diagnostic criteria, including 122 patients (58.1%) with PEW and 88 patients (41.9%) without PEW. We further analyzed the incidence of major adverse cardiovascular events (MACE) and all-cause mortality in one year, along with their risk factors. MACE incidence was significantly higher in the PEW group compared with the non-PEW group (<i>p</i> = 0.015). Multivariate Cox regression showed PEW, CVD, high N-terminal pro-B-type natriuretic peptide (NT-proBNP) and low Kt/V urea were the risk factors of MACE. Age ≥ 65 years and high NT-proBNP were the risk factors of all-cause death. Among patients aged ≥ 65 years, PEW was associated with a higher risk of all-cause death (<i>p</i> = 0.043). Total cholesterol &lt; 3.4 mmol/L, albumin &lt; 38 g/L and prealbumin &lt; 280 mg/L were the thresholds for MACE incidence in MHD patients with PEW. Adult MHD patients with PEW had an increased risk of MACE and all-cause mortality. Strategies aimed at optimizing total cholesterol, albumin, and prealbumin levels may improve cardiovascular outcomes in adult MHD patients with PEW.
DOI: 10.6084/m9.figshare.28057723.v1
title: The correlation between protein energy wasting and the incidence of main adverse cardiovascular events in adult maintenance hemodialysis patients: a single-center retrospective cohort study

description: Protein energy wasting (PEW) is prevalent in adult maintenance hemodialysis (MHD) patients. Concurrently, cardiovascular diseases (CVD) remain a leading cause of mortality in MHD patients. However, the relationship between PEW and CVD in MHD patients remains unclear. We conducted a retrospective cohort study at Shanghai East Hospital. According to the inclusion and exclusion criteria, a total of 210 adult MHD patients were finally enrolled. Patients were categorized into two groups based on PEW diagnostic criteria, including 122 patients (58.1%) with PEW and 88 patients (41.9%) without PEW. We further analyzed the incidence of major adverse cardiovascular events (MACE) and all-cause mortality in one year, along with their risk factors. MACE incidence was significantly higher in the PEW group compared with the non-PEW group (<i>p</i> = 0.015). Multivariate Cox regression showed PEW, CVD, high N-terminal pro-B-type natriuretic peptide (NT-proBNP) and low Kt/V urea were the risk factors of MACE. Age ≥ 65 years and high NT-proBNP were the risk factors of all-cause death. Among patients aged ≥ 65 years, PEW was associated with a higher risk of all-cause death (<i>p</i> = 0.043). Total cholesterol &lt; 3.4 mmol/L, albumin &lt; 38 g/L and prealbumin &lt; 280 mg/L were the thresholds for MACE incidence in MHD patients with PEW. Adult MHD patients with PEW had an increased risk of MACE and all-cause mortality. Strategies aimed at optimizing total cholesterol, albumin, and prealbumin levels may improve cardiovascular outcomes in adult MHD patients with PEW.
DOI: 10.6084/m9.figshare.28503357
title: Stress hyperglycemia ratio as an independent predictor of acute kidney injury in critically ill patients with acute myocardial infarction: a retrospective U.S. cohort study

description: Acute kidney injury (AKI) is a frequent and severe complication in critically ill patients with acute myocardial infarction (AMI), significantly worsening prognosis. Identifying early risk markers for AKI in AMI patients is critical for timely intervention. The stress hyperglycemia ratio (SHR), a marker of acute glycemic response to physiological stress, has been proposed as a predictor of AKI, but its role remains unclear. This study investigates the association between SHR and AKI development in critically ill patients with AMI, using data from the MIMIC-III and MIMIC-IV databases. A total of 4,663 critically ill AMI patients were analyzed. SHR was evaluated for its association with AKI incidence using logistic regression, restricted cubic splines, and mediation analysis. Subgroup and sensitivity analyses were performed to confirm robustness. Additionally, Cox regression and Kaplan-Meier survival analysis were used to explore SHR’s association with in-hospital mortality in the overall cohort and AKI subgroup. Higher SHR levels were independently associated with an increased risk of AKI, demonstrating a J-shaped relationship. Mediation analysis revealed that neutrophil count and albumin partially mediated this effect. Kaplan-Meier survival curves showed significant differences in in-hospital mortality among SHR quartiles (log-rank <i>p</i> &lt; 0.001). However, Cox regression analysis indicated that SHR was not an independent predictor of in-hospital mortality in either the full cohort or the AKI subgroup. SHR serves as an early and independent marker for AKI risk in critically ill AMI patients, offering potential utility in clinical risk stratification. However, its role in predicting in-hospital mortality appears limited. These findings underscore the importance of glycemic monitoring and management in AMI patients at risk of AKI.
DOI: 10.6084/m9.figshare.28503357.v1
title: Stress hyperglycemia ratio as an independent predictor of acute kidney injury in critically ill patients with acute myocardial infarction: a retrospective U.S. cohort study

description: Acute kidney injury (AKI) is a frequent and severe complication in critically ill patients with acute myocardial infarction (AMI), significantly worsening prognosis. Identifying early risk markers for AKI in AMI patients is critical for timely intervention. The stress hyperglycemia ratio (SHR), a marker of acute glycemic response to physiological stress, has been proposed as a predictor of AKI, but its role remains unclear. This study investigates the association between SHR and AKI development in critically ill patients with AMI, using data from the MIMIC-III and MIMIC-IV databases. A total of 4,663 critically ill AMI patients were analyzed. SHR was evaluated for its association with AKI incidence using logistic regression, restricted cubic splines, and mediation analysis. Subgroup and sensitivity analyses were performed to confirm robustness. Additionally, Cox regression and Kaplan-Meier survival analysis were used to explore SHR’s association with in-hospital mortality in the overall cohort and AKI subgroup. Higher SHR levels were independently associated with an increased risk of AKI, demonstrating a J-shaped relationship. Mediation analysis revealed that neutrophil count and albumin partially mediated this effect. Kaplan-Meier survival curves showed significant differences in in-hospital mortality among SHR quartiles (log-rank <i>p</i> &lt; 0.001). However, Cox regression analysis indicated that SHR was not an independent predictor of in-hospital mortality in either the full cohort or the AKI subgroup. SHR serves as an early and independent marker for AKI risk in critically ill AMI patients, offering potential utility in clinical risk stratification. However, its role in predicting in-hospital mortality appears limited. These findings underscore the importance of glycemic monitoring and management in AMI patients at risk of AKI.
DOI: 10.6084/m9.figshare.28428412
title: Integration of transcriptome and Mendelian randomization analyses in exploring the extracellular vesicle-related biomarkers of diabetic kidney disease

description: Diabetic Kidney Disease (DKD) is a common complication in patients with diabetes, and its pathogenesis remains incompletely understood. Recent studies have suggested that extracellular vesicles (EVs) may play a significant role in the initiation and progression of DKD. This study aimed to identify biomarkers associated with EVs in DKD through bioinformatics and Mendelian randomization (MR) analysis. This study utilized two DKD-related datasets, GSE96804 and GSE30528, alongside 121 exosome-related genes (ERGs) and 200 inflammation-related genes (IRGs). Differential analysis, co-expression network construction, and MR analysis were conducted to identify candidate genes. Machine learning techniques and expression validation were then employed to determine biomarkers. Finally, the potential mechanisms of action of these biomarkers were explored through Immunohistochemistry (IHC) staining, enrichment analysis, immune infiltration analysis, and regulatory network construction. A total of 22 candidate genes were identified as causally linked to DKD. CMAS and RGS10 were identified as biomarkers, with both showing reduced expression in DKD. IHC confirmed low RGS10 expression, providing new insights into DKD management. CMAS was involved primarily in mitochondria-related pathways, while RGS10 was enriched in the extracellular matrix and associated pathways. Significant differences were observed in neutrophils and M2 macrophages between DKD and normal groups, correlating strongly with the biomarkers. This study identified two EV-associated biomarkers, CMAS and RGS10, linked to DKD and elucidated their potential roles in disease progression. These results offer valuable insights for further exploration of DKD pathogenesis and the development of new therapeutic targets.