Dr Atefeh Talebi
- Clinical Trials Medical Statistician (Cardiovascular & Metabolic Health)
email:
Atefeh.Talebi@glasgow.ac.uk
Room 208, BHF of Cardiovascular research center
https://orcid.org/0000-0002-8144-9074Biography
Atefeh Talebi is a Clinical Trials Medical Statistician within the School of Cardiovascular & Metabolic Health at the University of Glasgow. She joined the University in 2022 and works within the BHF Cardiovascular Research Centre, contributing statistical expertise to large-scale cardiovascular clinical trials, epidemiological studies, and analyses using the UK Biobank dataset. Her work focuses on applying advanced statistical methods to investigate cardiovascular outcomes, population health trends, and risk prediction using large longitudinal datasets.
Atefeh holds a PhD in Biostatistics from Shahid Beheshti University of Medical Sciences, where she graduated as a highly distinguished student and ranked first in her cohort. Prior to joining the University of Glasgow, she worked as an Assistant Professor of Biostatistics at Iran University of Medical Sciences, where she taught statistics and supervised research across a wide range of health-related disciplines.
Her research interests include applied biostatistics, survival analysis, predictive modelling, machine learning, meta-analysis, cardiovascular outcomes research, and population-based cohort analysis. She has extensive experience in statistical modelling for clinical trials, observational studies, and real-world healthcare data. Her research frequently involves analysing large-scale datasets to support evidence-based decision-making in cardiovascular medicine and public health.
Atefeh has contributed to multiple international collaborations involving major cardiovascular trials and cohort studies, including DAPA-HF, DELIVER, PARADIGM-HF, ATMOSPHERE, STICH, FINEARTS-HF, and UK Biobank research projects. She has co-authored publications in leading journals including The Lancet, European Heart Journal, JAMA Cardiology, and Scientific Reports.
She has strong expertise in statistical programming and data analysis using R, SAS, STATA and Python. Her analytical work includes advanced modelling techniques, survival analysis, machine learning applications, and predictive analytics across clinical and epidemiological research settings.
Atefeh is currently undertaking the Postgraduate Certificate in Academic Practice (PGCAP) at the University of Glasgow, supporting her ongoing development in higher education teaching and curriculum design. Her broader interests include quantitative methods education, interdisciplinary collaboration, and the application of statistical approaches to improve clinical and population health outcomes.
Research interests
Survival analysis- Machine learning- Meta analysis- Predictive modeling
Publications
2026
Henderson, A. D. et al. (2026) A Bayesian analysis of finerenone in heart failure with mildly reduced and preserved ejection fraction: a pre-specified analysis of FINEARTS-HF. European Heart Journal: Cardiovascular Pharmacotherapy, (doi: 10.1093/ehjcvp/pvag010) (PMID:41697954) (Early Online Publication)
2025
Chimura, M. et al. (2025) Comprehensive analysis of the effects of sacubitril/valsartan according to sex among patients with heart failure and reduced ejection fraction in PARADIGM‐HF. Journal of the American Heart Association, 14(9), e038249. (doi: 10.1161/JAHA.124.038249) (PMID:40265590)
Gupta, S. D. et al. (2025) Effects of sacubitril/valsartan according to background beta-blocker therapy in patients with heart failure and reduced ejection fraction: Insights from PARADIGM-HF. European Journal of Heart Failure, 27(5), pp. 779-787. (doi: 10.1002/ejhf.3515) (PMID:39563094)
2024
Jhund, P. S. et al. (2024) Mineralocorticoid receptor antagonists in heart failure: an individual patient level meta-analysis. Lancet, 404(10458), pp. 1119-1131. (doi: 10.1016/S0140-6736(24)01733-1) (PMID:39232490)
Yang, M. et al. (2024) Dapagliflozin and quality of life measured using the EuroQol 5-Dimension questionnaire in patients with HFrEF and HFmrEF/HFpEF. European Journal of Heart Failure, 26(7), pp. 1524-1538. (doi: 10.1002/ejhf.3263) (PMID:38700986)
Curtain, J. P. et al. (2024) Measuring congestion with a non-invasive monitoring device in heart failure and haemodialysis: CONGEST-HF. European Journal of Heart Failure, 26(6), pp. 1383-1392. (doi: 10.1002/ejhf.3290) (PMID:38741283)
Kondo, T. et al. (2024) Dapagliflozin and days of full health lost through death, hospitalization, and impaired well-being in DAPA-HF. Journal of the American College of Cardiology, 83(20), pp. 1973-1986. (doi: 10.1016/j.jacc.2024.03.385) (PMID:38537918)
Carrasco-Marín, F. et al. (2024) Adherence to dietary recommendations by socioeconomic status in the United Kingdom biobank cohort study. Frontiers in Nutrition, 11, 1349538. (doi: 10.3389/fnut.2024.1349538)
McDowell, K. et al. (2024) Prognostic models for mortality and morbidity in heart failure with preserved ejection fraction. JAMA Cardiology, 9(5), 457. (doi: 10.1001/jamacardio.2024.0284) (PMID:38536153)
Borumandnia, Nasrin, Rostami, Maryam, Talebi, Atefeh 
ORCID: https://orcid.org/0000-0002-8144-9074 and Alavimajd, Hamid
(2024)
The impact of vitamin D changes during pregnancy on the development of maternal adverse events: A random forest analysis.
BMC Pregnancy and Childbirth, 24,
125.
(doi: 10.1186/s12884-024-06294-5)
(PMID:38341546)
(PMCID:PMC10858460)
2023
Boonpor, J. et al. (2023) Associations and predictive performance of eleven anthropometric measures with incident type 2 diabetes: a prospective cohort study from the UK Biobank. Obesity, 31(10), pp. 2648-2657. (doi: 10.1002/oby.23849) (PMID:37724055)
Shakhssalim, Naser, Talebi, Atefeh ORCID: https://orcid.org/0000-0002-8144-9074, Pahlevan‐Fallahy, Mohammad‐Taha, Sotoodeh, Kasra, Alavimajd, Hamid, Borumandnia, Nasrin and Taheri, Maryam
(2023)
Lifestyle and occupational risks assessment of bladder cancer using machine learning‐based prediction models.
Cancer Reports, 6(9),
e1860.
(doi: 10.1002/cnr2.1860)
(PMID:37403801)
(PMCID:PMC10480417)
Boonpor, J. et al. (2023) Association between walking pace and incident type 2 diabetes by adiposity levels – a prospective cohort study from the UK Biobank. Diabetes, Obesity and Metabolism, 25(7), pp. 1900-1910. (doi: 10.1111/dom.15053) (PMID:36951683)
Jhund, P. S. et al. (2023) Effect of dapagliflozin on total heart failure events in patients with heart failure with mildly reduced or preserved ejection fraction. A prespecified analysis of the DELIVER trial. JAMA Cardiology, 8(6), pp. 554-563. (doi: 10.1001/jamacardio.2023.0711) (PMID:37099283) (PMCID:PMC10134044)
Talebi, Atefeh ORCID: https://orcid.org/0000-0002-8144-9074, Celis‑Morales, Carlos ORCID: https://orcid.org/0000-0003-2612-3917, Borumandnia, Nasrin, Abbasi, Somayeh, Pourhoseingholi, Mohamad Amin, Akbari, Abolfazl and Yousefi, Javad
(2023)
Predicting metastasis in gastric cancer patients: machine learning-based approaches.
Scientific Reports, 13,
4163.
(doi: 10.1038/s41598-023-31272-w)
(PMID:36914697)
(PMCID:PMC10011363)
2022
Kondo, T. et al. (2022) Predicting stroke in heart failure and reduced ejection fraction without atrial fibrillation. European Heart Journal, 43(42), pp. 4469-4479. (doi: 10.1093/eurheartj/ehac487) (PMID:36017729) (PMCID:PMC9637422)
Articles
Henderson, A. D. et al. (2026) A Bayesian analysis of finerenone in heart failure with mildly reduced and preserved ejection fraction: a pre-specified analysis of FINEARTS-HF. European Heart Journal: Cardiovascular Pharmacotherapy, (doi: 10.1093/ehjcvp/pvag010) (PMID:41697954) (Early Online Publication)
Chimura, M. et al. (2025) Comprehensive analysis of the effects of sacubitril/valsartan according to sex among patients with heart failure and reduced ejection fraction in PARADIGM‐HF. Journal of the American Heart Association, 14(9), e038249. (doi: 10.1161/JAHA.124.038249) (PMID:40265590)
Gupta, S. D. et al. (2025) Effects of sacubitril/valsartan according to background beta-blocker therapy in patients with heart failure and reduced ejection fraction: Insights from PARADIGM-HF. European Journal of Heart Failure, 27(5), pp. 779-787. (doi: 10.1002/ejhf.3515) (PMID:39563094)
Jhund, P. S. et al. (2024) Mineralocorticoid receptor antagonists in heart failure: an individual patient level meta-analysis. Lancet, 404(10458), pp. 1119-1131. (doi: 10.1016/S0140-6736(24)01733-1) (PMID:39232490)
Yang, M. et al. (2024) Dapagliflozin and quality of life measured using the EuroQol 5-Dimension questionnaire in patients with HFrEF and HFmrEF/HFpEF. European Journal of Heart Failure, 26(7), pp. 1524-1538. (doi: 10.1002/ejhf.3263) (PMID:38700986)
Curtain, J. P. et al. (2024) Measuring congestion with a non-invasive monitoring device in heart failure and haemodialysis: CONGEST-HF. European Journal of Heart Failure, 26(6), pp. 1383-1392. (doi: 10.1002/ejhf.3290) (PMID:38741283)
Kondo, T. et al. (2024) Dapagliflozin and days of full health lost through death, hospitalization, and impaired well-being in DAPA-HF. Journal of the American College of Cardiology, 83(20), pp. 1973-1986. (doi: 10.1016/j.jacc.2024.03.385) (PMID:38537918)
Carrasco-Marín, F. et al. (2024) Adherence to dietary recommendations by socioeconomic status in the United Kingdom biobank cohort study. Frontiers in Nutrition, 11, 1349538. (doi: 10.3389/fnut.2024.1349538)
McDowell, K. et al. (2024) Prognostic models for mortality and morbidity in heart failure with preserved ejection fraction. JAMA Cardiology, 9(5), 457. (doi: 10.1001/jamacardio.2024.0284) (PMID:38536153)
Borumandnia, Nasrin, Rostami, Maryam, Talebi, Atefeh ORCID: https://orcid.org/0000-0002-8144-9074 and Alavimajd, Hamid
(2024)
The impact of vitamin D changes during pregnancy on the development of maternal adverse events: A random forest analysis.
BMC Pregnancy and Childbirth, 24,
125.
(doi: 10.1186/s12884-024-06294-5)
(PMID:38341546)
(PMCID:PMC10858460)
Boonpor, J. et al. (2023) Associations and predictive performance of eleven anthropometric measures with incident type 2 diabetes: a prospective cohort study from the UK Biobank. Obesity, 31(10), pp. 2648-2657. (doi: 10.1002/oby.23849) (PMID:37724055)
Shakhssalim, Naser, Talebi, Atefeh ORCID: https://orcid.org/0000-0002-8144-9074, Pahlevan‐Fallahy, Mohammad‐Taha, Sotoodeh, Kasra, Alavimajd, Hamid, Borumandnia, Nasrin and Taheri, Maryam
(2023)
Lifestyle and occupational risks assessment of bladder cancer using machine learning‐based prediction models.
Cancer Reports, 6(9),
e1860.
(doi: 10.1002/cnr2.1860)
(PMID:37403801)
(PMCID:PMC10480417)
Boonpor, J. et al. (2023) Association between walking pace and incident type 2 diabetes by adiposity levels – a prospective cohort study from the UK Biobank. Diabetes, Obesity and Metabolism, 25(7), pp. 1900-1910. (doi: 10.1111/dom.15053) (PMID:36951683)
Jhund, P. S. et al. (2023) Effect of dapagliflozin on total heart failure events in patients with heart failure with mildly reduced or preserved ejection fraction. A prespecified analysis of the DELIVER trial. JAMA Cardiology, 8(6), pp. 554-563. (doi: 10.1001/jamacardio.2023.0711) (PMID:37099283) (PMCID:PMC10134044)
Talebi, Atefeh ORCID: https://orcid.org/0000-0002-8144-9074, Celis‑Morales, Carlos ORCID: https://orcid.org/0000-0003-2612-3917, Borumandnia, Nasrin, Abbasi, Somayeh, Pourhoseingholi, Mohamad Amin, Akbari, Abolfazl and Yousefi, Javad
(2023)
Predicting metastasis in gastric cancer patients: machine learning-based approaches.
Scientific Reports, 13,
4163.
(doi: 10.1038/s41598-023-31272-w)
(PMID:36914697)
(PMCID:PMC10011363)
Kondo, T. et al. (2022) Predicting stroke in heart failure and reduced ejection fraction without atrial fibrillation. European Heart Journal, 43(42), pp. 4469-4479. (doi: 10.1093/eurheartj/ehac487) (PMID:36017729) (PMCID:PMC9637422)
Grants
Grants and Awards listed are those received whilst working with the University of Glasgow.
- Seasonal variation in cardiovascular hospitalisations in the UK Biobank cohort
Tenovus Scotland
2024 - 2024
