Population | Included: adult symptomatic patients (with symptoms being indicative of cancer) presenting at primary care or patients referred with symptoms indicative of cancer |
Excluded: asymptomatic patients (screening population). | |
Technology | Included: Diagnostic prediction models, based on 2 or more featuresa, that estimate the risk of prevalent but undiagnosed colorectal cancer. |
Excluded: prognostic or screening prediction models Statistical tools that estimate the probability of developing cancer over a defined period of time. Prediction models that did not include colorectal cancer. | |
Setting | Included: primary care |
Excluded: secondary care; on-line tools developed for use by the general population | |
Study design | Included: - any design for the development, validation or accuracy of diagnostic prediction models (as defined under ‘Technology’); - comparative studies of diagnostic tools that assessed impact in clinical practice (Randomised controlled trials, controlled before-after, and interrupted time-series; studies analysing national trends in cancer diagnosis before and after diagnostic tools became available) |
Excluded: uncontrolled studies reporting qualitative data | |
Comparison | Usual care or the use of another diagnostic tool |
Outcomes | For studies reporting development, validation and/or accuracy of prediction models: Estimates of the risk of being diagnosed with cancer (e.g. ORs, HRs) AND/OR Any details on the development, validation or accuracy of the tool: • Model development: method; assumptions; predictors; shrinkage; coefficient weighting • Model evaluation (validation) • Assessing (quantifying) model performance: discrimination (ability to discriminate participants with or without the outcome, e.g. area under the ROC curve); calibration (agreement between predicted and observed outcome); overall performance (for discrimination and calibration, e.g. R2); classification (e.g. sensitivity, specificity, predictive values) For studies reporting evaluations of the impact of tools: Primary outcomes - patient-related outcome measures (including the number of cancer diagnoses, time to cancer diagnosis, stage of cancer at diagnosis, resection rates, patient health-related quality of life, other patient-reported outcome measures); - survival; - economic outcome measures (resource use, cost per diagnosis), cost per QALY; Secondary outcomes - referral patterns. |
Exclude: models that report the risk of survival (or stage at diagnosis etc.) | |
Publication type | Included: Published in full and in English |
Excluded: commentaries, letters |