BLOod Test Trend for cancEr Detection (BLOTTED): protocol for an observational and prediction model development study using English primary care electronic health record data.
Pradeep S VirdeeClare BankheadConstantinos KoshiarisCynthia Wright DrakesmithJason OkeDiana WithrowSubhashisa SwainKiana CollinsLara ChammasAndres TammTingting ZhuEva MorrisTim HoltJacqueline BirksRafael PereraF D Richard HobbsBrian D NicholsonPublished in: Diagnostic and prognostic research (2023)
These models will form decision rules to help general practitioners find patients who need a referral for further investigation of cancer. This could increase cancer yield, reduce unnecessary referrals, and give more patients the opportunity for treatment and improved outcomes.
Keyphrases
- electronic health record
- papillary thyroid
- primary care
- squamous cell
- end stage renal disease
- randomized controlled trial
- newly diagnosed
- chronic kidney disease
- squamous cell carcinoma
- lymph node metastasis
- childhood cancer
- clinical decision support
- metabolic syndrome
- adipose tissue
- peritoneal dialysis
- machine learning
- big data
- adverse drug
- insulin resistance
- general practice