FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2081810385> ?p ?o ?g. }

• W2081810385 endingPage "58" @default.
• W2081810385 startingPage "49" @default.
• W2081810385 abstract "Background South Asians are at high risk for chronic kidney disease. However, unlike those in the United States and United Kingdom, laboratories in South Asian countries do not routinely report estimated glomerular filtration rate (eGFR) when serum creatinine is measured. The objectives of the study were to: (1) evaluate the performance of existing GFR estimating equations in South Asians, and (2) modify the existing equations or develop a new equation for use in this population. Study Design Cross-sectional population-based study. Setting & Participants 581 participants 40 years or older were enrolled from 10 randomly selected communities and renal clinics in Karachi. Predictors eGFR, age, sex, serum creatinine level. Outcomes Bias (the median difference between measured GFR [mGFR] and eGFR), precision (the IQR of the difference), accuracy (P30; percentage of participants with eGFR within 30% of mGFR), and the root mean squared error reported as cross-validated estimates along with bootstrapped 95% CIs based on 1,000 replications. Results The CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine equation performed better than the MDRD (Modification of Diet in Renal Disease) Study equation in terms of greater accuracy at P30 (76.1% [95% CI, 72.7%-79.5%] vs 68.0% [95% CI, 64.3%-71.7%]; P < 0.001) and improved precision (IQR, 22.6 [95% CI, 19.9-25.3] vs 28.6 [95% CI, 25.8-31.5] mL/min/1.73 m2; P < 0.001). However, both equations overestimated mGFR. Applying modification factors for slope and intercept to the CKD-EPI equation to create a CKD-EPI Pakistan equation (such that eGFRCKD-EPI(PK) = 0.686 × eGFRCKD-EPI1.059) in order to eliminate bias improved accuracy (P30, 81.6% [95% CI, 78.4%-84.8%]; P < 0.001) comparably to new estimating equations developed using creatinine level and additional variables. Limitations Lack of external validation data set and few participants with low GFR. Conclusions The CKD-EPI creatinine equation is more accurate and precise than the MDRD Study equation in estimating GFR in a South Asian population in Karachi. The CKD-EPI Pakistan equation further improves the performance of the CKD-EPI equation in South Asians and could be used for eGFR reporting. South Asians are at high risk for chronic kidney disease. However, unlike those in the United States and United Kingdom, laboratories in South Asian countries do not routinely report estimated glomerular filtration rate (eGFR) when serum creatinine is measured. The objectives of the study were to: (1) evaluate the performance of existing GFR estimating equations in South Asians, and (2) modify the existing equations or develop a new equation for use in this population. Cross-sectional population-based study. 581 participants 40 years or older were enrolled from 10 randomly selected communities and renal clinics in Karachi. eGFR, age, sex, serum creatinine level. Bias (the median difference between measured GFR [mGFR] and eGFR), precision (the IQR of the difference), accuracy (P30; percentage of participants with eGFR within 30% of mGFR), and the root mean squared error reported as cross-validated estimates along with bootstrapped 95% CIs based on 1,000 replications. The CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) creatinine equation performed better than the MDRD (Modification of Diet in Renal Disease) Study equation in terms of greater accuracy at P30 (76.1% [95% CI, 72.7%-79.5%] vs 68.0% [95% CI, 64.3%-71.7%]; P < 0.001) and improved precision (IQR, 22.6 [95% CI, 19.9-25.3] vs 28.6 [95% CI, 25.8-31.5] mL/min/1.73 m2; P < 0.001). However, both equations overestimated mGFR. Applying modification factors for slope and intercept to the CKD-EPI equation to create a CKD-EPI Pakistan equation (such that eGFRCKD-EPI(PK) = 0.686 × eGFRCKD-EPI1.059) in order to eliminate bias improved accuracy (P30, 81.6% [95% CI, 78.4%-84.8%]; P < 0.001) comparably to new estimating equations developed using creatinine level and additional variables. Lack of external validation data set and few participants with low GFR. The CKD-EPI creatinine equation is more accurate and precise than the MDRD Study equation in estimating GFR in a South Asian population in Karachi. The CKD-EPI Pakistan equation further improves the performance of the CKD-EPI equation in South Asians and could be used for eGFR reporting." @default.
• W2081810385 created "2016-06-24" @default.
• W2081810385 creator A5016193438 @default.
• W2081810385 creator A5032690087 @default.
• W2081810385 creator A5037597028 @default.
• W2081810385 creator A5054296834 @default.
• W2081810385 creator A5070710430 @default.
• W2081810385 creator A5084057531 @default.
• W2081810385 creator A5088308221 @default.
• W2081810385 creator A5089679985 @default.
• W2081810385 creator A5091135967 @default.
• W2081810385 date "2014-01-01" @default.
• W2081810385 modified "2023-10-07" @default.
• W2081810385 title "Estimation of GFR in South Asians: A Study From the General Population in Pakistan" @default.
• W2081810385 cites W1965675690 @default.
• W2081810385 cites W1966546210 @default.
• W2081810385 cites W1988131900 @default.
• W2081810385 cites W2004058528 @default.
• W2081810385 cites W2005145396 @default.
• W2081810385 cites W2011627164 @default.
• W2081810385 cites W2025527613 @default.
• W2081810385 cites W2044705032 @default.
• W2081810385 cites W2045181376 @default.
• W2081810385 cites W2051208577 @default.
• W2081810385 cites W2062807758 @default.
• W2081810385 cites W2073575970 @default.
• W2081810385 cites W2081231656 @default.
• W2081810385 cites W2094640383 @default.
• W2081810385 cites W2110031681 @default.
• W2081810385 cites W2118625269 @default.
• W2081810385 cites W2129925362 @default.
• W2081810385 cites W2137569315 @default.
• W2081810385 cites W2145732657 @default.
• W2081810385 cites W2146105386 @default.
• W2081810385 cites W2147447520 @default.
• W2081810385 cites W2152189242 @default.
• W2081810385 cites W2154654060 @default.
• W2081810385 cites W2155965977 @default.
• W2081810385 cites W2328620701 @default.
• W2081810385 cites W3025346697 @default.
• W2081810385 cites W4211214771 @default.
• W2081810385 doi "https://doi.org/10.1053/j.ajkd.2013.07.023" @default.
• W2081810385 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4428680" @default.
• W2081810385 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/24074822" @default.
• W2081810385 hasPublicationYear "2014" @default.
• W2081810385 type Work @default.
• W2081810385 sameAs 2081810385 @default.
• W2081810385 citedByCount "67" @default.
• W2081810385 countsByYear W20818103852014 @default.
• W2081810385 countsByYear W20818103852015 @default.
• W2081810385 countsByYear W20818103852016 @default.
• W2081810385 countsByYear W20818103852017 @default.
• W2081810385 countsByYear W20818103852018 @default.
• W2081810385 countsByYear W20818103852019 @default.
• W2081810385 countsByYear W20818103852020 @default.
• W2081810385 countsByYear W20818103852021 @default.
• W2081810385 countsByYear W20818103852022 @default.
• W2081810385 countsByYear W20818103852023 @default.
• W2081810385 crossrefType "journal-article" @default.
• W2081810385 hasAuthorship W2081810385A5016193438 @default.
• W2081810385 hasAuthorship W2081810385A5032690087 @default.
• W2081810385 hasAuthorship W2081810385A5037597028 @default.
• W2081810385 hasAuthorship W2081810385A5054296834 @default.
• W2081810385 hasAuthorship W2081810385A5070710430 @default.
• W2081810385 hasAuthorship W2081810385A5084057531 @default.
• W2081810385 hasAuthorship W2081810385A5088308221 @default.
• W2081810385 hasAuthorship W2081810385A5089679985 @default.
• W2081810385 hasAuthorship W2081810385A5091135967 @default.
• W2081810385 hasBestOaLocation W20818103852 @default.
• W2081810385 hasConcept C105795698 @default.
• W2081810385 hasConcept C107130276 @default.
• W2081810385 hasConcept C126322002 @default.
• W2081810385 hasConcept C126894567 @default.
• W2081810385 hasConcept C142052008 @default.
• W2081810385 hasConcept C142724271 @default.
• W2081810385 hasConcept C144024400 @default.
• W2081810385 hasConcept C149923435 @default.
• W2081810385 hasConcept C159641895 @default.
• W2081810385 hasConcept C204016326 @default.
• W2081810385 hasConcept C2778653478 @default.
• W2081810385 hasConcept C2780306776 @default.
• W2081810385 hasConcept C2908647359 @default.
• W2081810385 hasConcept C33923547 @default.
• W2081810385 hasConcept C49781872 @default.
• W2081810385 hasConcept C71924100 @default.
• W2081810385 hasConcept C99454951 @default.
• W2081810385 hasConceptScore W2081810385C105795698 @default.
• W2081810385 hasConceptScore W2081810385C107130276 @default.
• W2081810385 hasConceptScore W2081810385C126322002 @default.
• W2081810385 hasConceptScore W2081810385C126894567 @default.
• W2081810385 hasConceptScore W2081810385C142052008 @default.
• W2081810385 hasConceptScore W2081810385C142724271 @default.
• W2081810385 hasConceptScore W2081810385C144024400 @default.
• W2081810385 hasConceptScore W2081810385C149923435 @default.
• W2081810385 hasConceptScore W2081810385C159641895 @default.
• W2081810385 hasConceptScore W2081810385C204016326 @default.
• W2081810385 hasConceptScore W2081810385C2778653478 @default.
• W2081810385 hasConceptScore W2081810385C2780306776 @default.

• next