The accuracy of date of death recording in the <scp>C</scp>linical <scp>P</scp>ractice <scp>R</scp>esearch <scp>D</scp>atalink <scp>GOLD</scp> database in <scp>E</scp>ngland compared with the <scp>O</scp>ffice for <scp>N</scp>ational <scp>S</scp>tatistics death registrations

Gallagher, Arlene M.; Dedman, Daniel; Padmanabhan, Shivani; Leufkens, Hubert G. M.; Vries, Frank de

doi:10.1002/pds.4747

Cited by 62 publications

(37 citation statements)

References 29 publications

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“…CPRD with linkage to HES–ONS death registry data has been shown previously to be sufficient for censoring follow‐up and calculating mortality. 48 We demonstrate that patients with diabetic gastroparesis had an almost twofold mortality to those with idiopathic gastroparesis, after adjusting for significant predictors.…”

Section: Discussionmentioning

confidence: 72%

Epidemiology and outcomes of gastroparesis, as documented in general practice records, in the United Kingdom

Jiang

Manne

et al. 2020

Gut

118

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ObjectiveTo generate real-world evidence for the epidemiology of gastroparesis in the UK, we evaluated the prevalence, incidence, patient characteristics and outcomes of gastroparesis in the Clinical Practice Research Datalink (CPRD) database.DesignThis was a retrospective, cross-sectional study. Prevalence and incidence of gastroparesis were evaluated in the CPRD database, with linkage to Hospital Episodes Statistics Admitted Patient Care and Office for National Statistics mortality data. Prevalence and incidence were age and sex standardised to mid-2017 UK population estimates. Descriptive analyses of demographics, aetiologies, pharmacological therapies and mortality were conducted.ResultsStandardised prevalence of gastroparesis, as documented in general practice records, was 13.8 (95% CI 12.6 to 15.1) per 100 000 persons in 2016, and standardised incidence of gastroparesis rose from 1.5 (95% CI 1.1 to 1.8) per 100 000 person-years in 2004 to 1.9 (95% CI 1.4 to 2.3) per 100 000 person-years in 2016. The most common disease aetiologies were idiopathic (39.4%) and diabetic gastroparesis (37.5%), with a similar distribution of type 1 and type 2 diabetes among the 90% who had type of diabetes documented. Patients with diabetic gastroparesis had a significantly higher risk of mortality than those with idiopathic gastroparesis after diagnosis (adjusted HR 1.9, 95% CI 1.2 to 3.0). Of those with gastroparesis, 31.6% were not offered any recognised pharmacological therapy after diagnosis.ConclusionThis is, to our knowledge, the first population-based study providing data on epidemiology and outcomes of gastroparesis in Europe. Further research is required to fully understand the factors influencing outcomes and survival of patients with gastroparesis.

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Section: Discussionmentioning

confidence: 72%

Epidemiology and outcomes of gastroparesis, as documented in general practice records, in the United Kingdom

Jiang

Manne

et al. 2020

Gut

118

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“…Previous studies using CPRD data have shown to be highly valid, with for example for hip fractures over 90% confirmed diagnoses [14]. CPRD GOLD had a high quality of recording of all-cause mortality [15].…”

Section: Source Populationmentioning

confidence: 95%

The risk of new fragility fractures in patients with chronic kidney disease and hip fracture—a population-based cohort study in the UK

et al. 2020

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Chronic kidney disease (CKD) is a risk factor for fractures. However, in hip fracture patients, CKD G3-G5 was associated with a higher mortality risk and not associated with a higher risk of subsequent non-hip fractures compared to eGFR > 60 ml/min. The higher mortality risk may, as competing risk, explain our findings. Introduction Chronic kidney disease (CKD) is a known risk factor for fragility fractures. Patients aged 50+ with a recent fragility fracture have an increased risk of subsequent fractures. Our aim was to evaluate the association between CKD stages G3-G5 versus estimated glomerular filtration rate (eGFR) > 60 ml/min and the risk of a new non-hip fracture or fragility fracture in patients with a first hip fracture. Methods Population-based cohort study using the UK general practices in the Clinical Practice Research Datalink. Associations between CKD stage and first subsequent fracture were determined using Cox proportional hazard analyses to estimate hazard ratios (HRs). To explore the potential competing risk of mortality, cause-specific (cs) HRs for mortality were estimated. Results CKD G3-G5 was associated with a lower risk of any subsequent non-hip fracture (HR: 0.90, 95%CI: 0.83-0.97), but not with the risk of subsequent major non-hip fragility fracture. CKD G3-G5 was associated with a higher mortality risk (cs-HR: 1.05, 95%CI: 1.01-1.09). Mortality risk was 1.5-to 3-fold higher in patients with CKD G4 (cs-HR: 1.50, 95%CI: 1.38-1.62) and G5 (cs-HR: 2.93, 95%CI: 2.48-3.46) compared to eGFR > 60 ml/min. Conclusions The risk of a subsequent major non-hip fragility fractures following hip fracture was not increased in patients with CKD G3-G5 compared to eGFR > 60 ml/min. Mortality risk was higher in both hip fracture and non-hip fracture patients with CKD G4 and G5. The higher mortality risk may, as competing risk, explain our main finding of no increased or even decreased subsequent fracture risk after a hip fracture in patients with CKD G3-G5.

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“…For example, many studies removed patients with missing data among any variable from the study entirely, did not adequately define their predictor variables, or did not assess correlation between predictors. Additionally, only two studies using data from electronic medical records assessed the quality of the data before building the model, which is often considered an important step in these datasets because they were not designed for use in research studies and often require some form of data validation before analysis [71][72][73][74].…”

Section: Fbc-based Prediction Modelsmentioning

confidence: 99%

The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal

Virdee

Marian

Mansouri

et al. 2020

Cancers

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Introduction: A full blood count (FBC) blood test includes 20 components. We systematically reviewed studies that assessed the association of the FBC and diagnosis of colorectal cancer to identify components as risk factors. We reviewed FBC-based prediction models for colorectal cancer risk. Methods: MEDLINE, EMBASE, CINAHL, and Web of Science were searched until 3 September 2019. We meta-analysed the mean difference in FBC components between those with and without a diagnosis and critically appraised the development and validation of FBC-based prediction models. Results: We included 53 eligible articles. Three of four meta-analysed components showed an association with diagnosis. In the remaining 16 with insufficient data for meta-analysis, three were associated with colorectal cancer. Thirteen FBC-based models were developed. Model performance was commonly assessed using the c-statistic (range 0.72–0.91) and calibration plots. Some models appeared to work well for early detection but good performance may be driven by early events. Conclusion: Red blood cells, haemoglobin, mean corpuscular volume, red blood cell distribution width, white blood cell count, and platelets are associated with diagnosis and could be used for referral. Existing FBC-based prediction models might not perform as well as expected and need further critical testing.

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The accuracy of date of death recording in the Clinical Practice Research Datalink GOLD database in England compared with the Office for National Statistics death registrations

Cited by 62 publications

References 29 publications

Epidemiology and outcomes of gastroparesis, as documented in general practice records, in the United Kingdom

Epidemiology and outcomes of gastroparesis, as documented in general practice records, in the United Kingdom

The risk of new fragility fractures in patients with chronic kidney disease and hip fracture—a population-based cohort study in the UK

The Full Blood Count Blood Test for Colorectal Cancer Detection: A Systematic Review, Meta-Analysis, and Critical Appraisal

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