FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3174072282> ?p ?o ?g. }

• W3174072282 abstract "Prediction models for population-based screening need, for global usage, to be resource-driven, involving predictors that are affordably resourced. Here, we report the development and validation of three resource-driven risk models to identify people with type 2 diabetes (T2DM) at risk of stage 3 CKD defined by a decline in estimated glomerular filtration rate (eGFR) to below 60 mL/min/1.73m2. The observational study cohort used for model development consisted of data from a primary care dataset of 20,510 multi-ethnic individuals with T2DM from London, UK (2007-2018). Discrimination and calibration of the resulting prediction models developed using cox regression were assessed using the c-statistic and calibration slope, respectively. Models were internally validated using tenfold cross-validation and externally validated on 13,346 primary care individuals from Wales, UK. The simplest model was simplified into a risk score to enable implementation in community-based medicine. The derived full model included demographic, laboratory parameters, medication-use, cardiovascular disease history (CVD) and sight threatening retinopathy status (STDR). Two less resource-intense models were developed by excluding CVD and STDR in the second model and HbA1c and HDL in the third model. All three 5-year risk models had good internal discrimination and calibration (optimism adjusted C-statistics were each 0.85 and calibration slopes 0.999-1.002). In Wales, models achieved excellent discrimination(c-statistics ranged 0.82-0.83). Calibration slopes at 5-years suggested models over-predicted risks, however were successfully updated to accommodate reduced incidence of stage 3 CKD in Wales, which improved their alignment with the observed rates in Wales (E/O ratios near to 1). The risk score demonstrated similar model performance compared to direct evaluation of the cox model. These resource-driven risk prediction models may enable universal screening for Stage 3 CKD to enable targeted early optimisation of risk factors for CKD." @default.
• W3174072282 created "2021-07-05" @default.
• W3174072282 creator A5013601682 @default.
• W3174072282 creator A5014459421 @default.
• W3174072282 creator A5015302801 @default.
• W3174072282 creator A5016623962 @default.
• W3174072282 creator A5033390815 @default.
• W3174072282 creator A5036861418 @default.
• W3174072282 creator A5045422191 @default.
• W3174072282 creator A5048734280 @default.
• W3174072282 creator A5060049677 @default.
• W3174072282 creator A5060828463 @default.
• W3174072282 creator A5063946506 @default.
• W3174072282 creator A5066434934 @default.
• W3174072282 creator A5067968462 @default.
• W3174072282 creator A5078134786 @default.
• W3174072282 creator A5090571211 @default.
• W3174072282 date "2021-07-01" @default.
• W3174072282 modified "2023-09-23" @default.
• W3174072282 title "Development and validation of resource-driven risk prediction models for incident chronic kidney disease in type 2 diabetes" @default.
• W3174072282 cites W1969735455 @default.
• W3174072282 cites W1971343797 @default.
• W3174072282 cites W1982245010 @default.
• W3174072282 cites W1982967737 @default.
• W3174072282 cites W1985299015 @default.
• W3174072282 cites W1994682257 @default.
• W3174072282 cites W2008706768 @default.
• W3174072282 cites W2028048791 @default.
• W3174072282 cites W2036621883 @default.
• W3174072282 cites W2045030989 @default.
• W3174072282 cites W2060363472 @default.
• W3174072282 cites W2065902423 @default.
• W3174072282 cites W2073742622 @default.
• W3174072282 cites W2084139018 @default.
• W3174072282 cites W2104039704 @default.
• W3174072282 cites W2108510859 @default.
• W3174072282 cites W2129925362 @default.
• W3174072282 cites W2154286581 @default.
• W3174072282 cites W2165817472 @default.
• W3174072282 cites W2168630917 @default.
• W3174072282 cites W2234357320 @default.
• W3174072282 cites W2296761362 @default.
• W3174072282 cites W2317666770 @default.
• W3174072282 cites W2474667434 @default.
• W3174072282 cites W2493199848 @default.
• W3174072282 cites W2617805509 @default.
• W3174072282 cites W2743505738 @default.
• W3174072282 cites W2792433889 @default.
• W3174072282 cites W2794971239 @default.
• W3174072282 cites W2908529804 @default.
• W3174072282 cites W2930804263 @default.
• W3174072282 cites W2971192611 @default.
• W3174072282 cites W2986999055 @default.
• W3174072282 cites W3001665224 @default.
• W3174072282 cites W3011317844 @default.
• W3174072282 cites W3016145915 @default.
• W3174072282 cites W3031009630 @default.
• W3174072282 cites W3096486083 @default.
• W3174072282 doi "https://doi.org/10.1038/s41598-021-93096-w" @default.
• W3174072282 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8249456" @default.
• W3174072282 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/34211028" @default.
• W3174072282 hasPublicationYear "2021" @default.
• W3174072282 type Work @default.
• W3174072282 sameAs 3174072282 @default.
• W3174072282 citedByCount "5" @default.
• W3174072282 countsByYear W31740722822022 @default.
• W3174072282 countsByYear W31740722822023 @default.
• W3174072282 crossrefType "journal-article" @default.
• W3174072282 hasAuthorship W3174072282A5013601682 @default.
• W3174072282 hasAuthorship W3174072282A5014459421 @default.
• W3174072282 hasAuthorship W3174072282A5015302801 @default.
• W3174072282 hasAuthorship W3174072282A5016623962 @default.
• W3174072282 hasAuthorship W3174072282A5033390815 @default.
• W3174072282 hasAuthorship W3174072282A5036861418 @default.
• W3174072282 hasAuthorship W3174072282A5045422191 @default.
• W3174072282 hasAuthorship W3174072282A5048734280 @default.
• W3174072282 hasAuthorship W3174072282A5060049677 @default.
• W3174072282 hasAuthorship W3174072282A5060828463 @default.
• W3174072282 hasAuthorship W3174072282A5063946506 @default.
• W3174072282 hasAuthorship W3174072282A5066434934 @default.
• W3174072282 hasAuthorship W3174072282A5067968462 @default.
• W3174072282 hasAuthorship W3174072282A5078134786 @default.
• W3174072282 hasAuthorship W3174072282A5090571211 @default.
• W3174072282 hasBestOaLocation W31740722821 @default.
• W3174072282 hasConcept C105795698 @default.
• W3174072282 hasConcept C12174686 @default.
• W3174072282 hasConcept C126322002 @default.
• W3174072282 hasConcept C134018914 @default.
• W3174072282 hasConcept C165838908 @default.
• W3174072282 hasConcept C23131810 @default.
• W3174072282 hasConcept C2777180221 @default.
• W3174072282 hasConcept C2778653478 @default.
• W3174072282 hasConcept C2779134260 @default.
• W3174072282 hasConcept C2908647359 @default.
• W3174072282 hasConcept C33923547 @default.
• W3174072282 hasConcept C38652104 @default.
• W3174072282 hasConcept C41008148 @default.
• W3174072282 hasConcept C45804977 @default.
• W3174072282 hasConcept C50382708 @default.
• W3174072282 hasConcept C555293320 @default.

• next