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Publications

Effect of Weight Loss Interventions on the Symptomatic Burden and Biomarkers of Polycystic Ovary Syndrome : A Systematic Review of Randomized Controlled Trials.

Scragg J. et al, (2024), Ann Intern Med

AZD1222 effectiveness against severe COVID-19 in individuals with comorbidity or frailty: The RAVEN cohort study

Meeraus W. et al, (2024), Journal of Infection, 88

Development and validation of a modified version of the Cambridge Multimorbidity Score (CMMS) for use in the English nationwide General Practice Extraction Service Data for Pandemic Planning and Research (GDPPR) dataset (Preprint)

Taylor KS. et al, (2024)

Creating a Modified Version of the Cambridge Multimorbidity Score to Predict Mortality in People Older Than 16 Years: Model Development and Validation

Kar D. et al, (2024), Journal of Medical Internet Research, 26

Diagnostic accuracy of natriuretic peptide screening for left ventricular systolic dysfunction in the community: systematic review and meta-analysis

Goyder CR. et al, (2023), ESC Heart Failure, 10, 1643 - 1655

Body mass index and survival in people with heart failure

JONES N. et al, (2023), Heart

Natriuretic peptide testing and heart failure diagnosis in primary care: diagnostic accuracy study

Taylor CJ. et al, (2023), The British journal of general practice : the journal of the Royal College of General Practitioners, 73

Interval forecasts of weekly incident and cumulative COVID-19 mortality in the United States: A comparison of combining methods

TAYLOR K. and TAYLOR J., (2022), PLoS One

Methodological considerations for matching algorithms in cohort studies of COVID-19 vaccine effectiveness

Meeraus W. et al, (2022), PHARMACOEPIDEMIOLOGY AND DRUG SAFETY, 31, 604 - 604

Frequency of Renal Monitoring - Creatinine and Cystatin C (FORM-2C): An observational cohort study of patients with reduced eGFR in primary care

Fleming S. et al, (2021), British Journal of General Practice, 71, E677 - E684

Combining Probabilistic Forecasts of COVID-19 Mortality in the United States

TAYLOR J. and TAYLOR KS., (2021), European Journal of Operational Research

Dealing with categorical risk data when extracting data for meta-analysis.

Taylor KS. et al, (2021), BMJ evidence-based medicine

Extracting data from diagnostic test accuracy studies for meta-analysis

Taylor KS. et al, (2021), BMJ Evidence-Based Medicine

Combining and converting groups when extracting data for meta-analysis

Taylor KS. et al, (2021), BMJ Evidence-Based Medicine

Commentary on “Transparent modelling of influenza incidence”: On big data models for infectious disease forecasting

Ben Taieb S. and Taylor KS., (2021), International Journal of Forecasting

Long-term monitoring in primary care for chronic kidney disease and chronic heart failure: a multi-method research programme

Perera R. et al, (2021)

Summarising good practice guidelines for data extraction for systematic reviews and meta-analysis

Taylor KS. et al, (2021), BMJ Evidence-Based Medicine

A Comparison of Aggregation Methods for Probabilistic Forecasts of COVID-19 Mortality in the United States

Taylor KS. and Taylor JW., (2020)

Validation of a UPDRS-/MDS-UPDRS-based definition of functional dependency for Parkinson's disease

Ramsay N. et al, (2020), Parkinsonism and Related Disorders, 76, 49 - 53

UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failure.

Vazquez-Montes MDLA. et al, (2020), Diagn Progn Res, 4

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