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Systematic review finds "spin"practices and poor reporting standards in studies on machine learning-based prediction models (2023)
Journal Article
Navarro, C. L. A., Damen, J. A. A., Takada, T., Nijman, S. W. J., Dhiman, P., Ma, J., …Hooft, L. (2023). Systematic review finds "spin"practices and poor reporting standards in studies on machine learning-based prediction models. Journal of Clinical Epidemiology, 158, 99-110. https://doi.org/10.1016/j.jclinepi.2023.03.024

OBJECTIVE: We evaluated the presence and frequency of spin practices and poor reporting standards in studies that developed and/or validated clinical prediction models using supervised machine learning techniques.

STUDY DESIGN AND SETTING: We sys... Read More about Systematic review finds "spin"practices and poor reporting standards in studies on machine learning-based prediction models.

Knowledge, Attitude, and Practices of Pregnant Women Towards COVID-19: An On-site Cross-sectional Survey (2022)
Journal Article
Singh, C., Shahnaz, G., Bajpai, R., & Sundar, J. (2022). Knowledge, Attitude, and Practices of Pregnant Women Towards COVID-19: An On-site Cross-sectional Survey. Cureus, 14(7), Article ARTN e27259. https://doi.org/10.7759/cureus.27259

Objective: To assess the knowledge, attitude, and practices (KAP) of pregnant women towards coronavirus disease 2019 (COVID-19).

Methods: This on-site cross-sectional survey was conducted in the antenatal and fetal medicine clinics in a tertiary c... Read More about Knowledge, Attitude, and Practices of Pregnant Women Towards COVID-19: An On-site Cross-sectional Survey.

Blood biochemical parameters as predictors of disease severity and mortality in COVID-19 patients- an updated systematic review and meta-analysis (2021)
Other
Majid, A., Mishra, P., Parveen, R., Bajpai, R., Khan, M., & Agarwal, N. (2021). Blood biochemical parameters as predictors of disease severity and mortality in COVID-19 patients- an updated systematic review and meta-analysis

<h4>ABSTRACT</h4> <h4>Background</h4> The outbreak of coronavirus disease 2019 (COVID-19) has been rapidly spreading across the globe and poses a great risk to human health. Patients with abnormalities in laboratory parameters are more susceptible to... Read More about Blood biochemical parameters as predictors of disease severity and mortality in COVID-19 patients- an updated systematic review and meta-analysis.

COVID-19 pandemic and psychological wellbeing among health care workers and general population: A systematic-review and meta-analysis of the current evidence from India (2021)
Journal Article
Singh, R. K., Bajpai, R., & Kaswan, P. (2021). COVID-19 pandemic and psychological wellbeing among health care workers and general population: A systematic-review and meta-analysis of the current evidence from India. Clinical Epidemiology and Global Health, 11, -. https://doi.org/10.1016/j.cegh.2021.100737

Introduction
Coronavirus disease 2019 (COVID-19) was declared as pandemic and measures adopted for its control included quarantine of at-risk, isolation of infected along with other measures such as lockdown, restrictions on movement, and social int... Read More about COVID-19 pandemic and psychological wellbeing among health care workers and general population: A systematic-review and meta-analysis of the current evidence from India.

Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques (2020)
Journal Article
Andaur Navarro, C. L., Damen, J. A. A. G., Takada, T., Nijman, S. W. J., Dhiman, P., Ma, J., …Hooft, L. (2020). Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques. BMJ Open, 10(11), Article e038832. https://doi.org/10.1136/bmjopen-2020-038832

INTRODUCTION: Studies addressing the development and/or validation of diagnostic and prognostic prediction models are abundant in most clinical domains. Systematic reviews have shown that the methodological and reporting quality of prediction model s... Read More about Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques.

Visual recovery after small incision lenticule extraction (SMILE) in relation to pre-operative spherical equivalent (2020)
Journal Article
Tay, E., & Bajpai, R. (2021). Visual recovery after small incision lenticule extraction (SMILE) in relation to pre-operative spherical equivalent. Graefe's Archive for Clinical and Experimental Ophthalmology, 259(4), 1053–1060. https://doi.org/10.1007/s00417-020-04954-8

Purpose To assess visual recovery after small incision lenticule extraction (SMILE) in relation to pre-operative spherical equivalent. Methods Two hundred fourteen eyes of 107 patients were enrolled. Following surgery, patients were examined pre-oper... Read More about Visual recovery after small incision lenticule extraction (SMILE) in relation to pre-operative spherical equivalent.

3D Printed Silicone Meniscus Implants: Influence of the 3D Printing Process on Properties of Silicone Implants (2020)
Journal Article
Luis, E., Pan, H., Pan, H. M., Bajpai, R., Bastola, A. K., Bastola, A., …Yeong, W. Y. (2020). 3D Printed Silicone Meniscus Implants: Influence of the 3D Printing Process on Properties of Silicone Implants. Polymers, 12(9), Article 2136. https://doi.org/10.3390/polym12092136

Osteoarthritis of the knee with meniscal pathologies is a severe meniscal pathology suffered by the aging population worldwide. However, conventional meniscal substitutes are not 3D-printable and lack the customizability of 3D printed implants and ar... Read More about 3D Printed Silicone Meniscus Implants: Influence of the 3D Printing Process on Properties of Silicone Implants.

Interstitial lung disease is a risk factor for ischaemic heart disease and myocardial infarction. (2020)
Journal Article
Mallen, C., Belcher, J., Mamas, M., Clarson, L., Welsh, V., & Bajpai, R. (2020). Interstitial lung disease is a risk factor for ischaemic heart disease and myocardial infarction. Heart, 916-922. https://doi.org/10.1136/heartjnl-2019-315511

OBJECTIVES: Despite many shared risk factors and pathophysiological pathways, the risk of ischaemic heart disease (IHD) and myocardial infarction (MI) in interstitial lung disease (ILD) remains poorly understood. This lack of data could be preventing... Read More about Interstitial lung disease is a risk factor for ischaemic heart disease and myocardial infarction..

3D Direct Printing of Silicone Meniscus Implant Using a Novel Heat-Cured Extrusion-Based Printer (2020)
Journal Article
Luis, E., Pan, H. M., Sing, S. L., Bajpai, R., Song, J., & Yeong, W. Y. (2020). 3D Direct Printing of Silicone Meniscus Implant Using a Novel Heat-Cured Extrusion-Based Printer. Polymers, 12(5), Article ARTN 1031. https://doi.org/10.3390/polym12051031

The first successful direct 3D printing, or additive manufacturing (AM), of heat-cured silicone meniscal implants, using biocompatible and bio-implantable silicone resins is reported. Silicone implants have conventionally been manufactured by indirec... Read More about 3D Direct Printing of Silicone Meniscus Implant Using a Novel Heat-Cured Extrusion-Based Printer.

Digital Education of Health Professionals on the Management of Domestic Violence: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration (2019)
Journal Article
Divakar, U., Posadzki, P., Jarbrink, K., Bajpai, R., Ho, A., Campbell, J., …Nazeha, N. (2019). Digital Education of Health Professionals on the Management of Domestic Violence: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration. Journal of Medical Internet Research, 21(5), e13868 -e13868. https://doi.org/10.2196/13868

Background: The World Health Organization states that 35% of women experience domestic violence at least once during their lifetimes. However, approximately 80% of health professionals have never received any training on management of this major publ... Read More about Digital Education of Health Professionals on the Management of Domestic Violence: Systematic Review and Meta-Analysis by the Digital Health Education Collaboration.

Health Professions' Digital Education: Review of Learning Theories in Randomized Controlled Trials by the Digital Health Education Collaboration (2019)
Journal Article
Bajpai, S., Semwal, M., Bajpai, R., Car, J., Ho, A., & Ho, A. H. Y. (2019). Health Professions' Digital Education: Review of Learning Theories in Randomized Controlled Trials by the Digital Health Education Collaboration. Journal of Medical Internet Research, 21(3), Article ARTN e12912. https://doi.org/10.2196/12912

BACKGROUND: Learning theory is an essential component for designing an effective educational curriculum. Reviews of existing literature consistently lack sufficient evidence to support the effectiveness of digital interventions for health professions... Read More about Health Professions' Digital Education: Review of Learning Theories in Randomized Controlled Trials by the Digital Health Education Collaboration.