Plasminogen activator inhibitor-1 4G/5G polymorphism and retinopathy risk in type 2 diabetes: a meta-analysis

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DNA Barcoding Significance and Utilities

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Possible association between haemostasis dysfunction and early onset of microvascular complications in patients with type 1 diabetes

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Interventions to promote the health and well-being of children under 5s experiencing homelessness in high-income countries: a scoping review

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Designing a Library of Lived Experience for Mental Health: integrated realist synthesis and experience-based co-design study in UK mental health services

Marshall, P., Lobban, F. A., Barbrook, J., Collins, G., Foster, S., Inkster, C., Inkster, C., Jebb, P., Johnston, R., Khan, H., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081188 · Cited by 7

Overlap across psychotic disorders: A functional network connectivity analysis

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Development of novel imaging probe for optical/acoustic radiation imaging (OARI)

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Substance misuse intervention research in remote Indigenous Australian communities since the NHMRC ‘Roadmap’

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Identifying conducive contexts and working mechanisms of sedentary behaviour interventions in older adults: a realist review protocol as part of the ‘Stand UP Seniors’ project

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How executives’ expectations and experiences shape population health management strategies

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Contextually appropriate nurse staffing models: a realist review protocol

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Influencing basic behavioral mechanisms of action while targeting daily walking in sedentary adults at risk for cardiovascular disease: randomised factorial design protocol

Goodwin, A. M., Gordon, S., Sahni, R. R., Vicari, F., Accardi, K., Crusco, S., Duer-Hefele, J., Friel, C. P., Suls, J. M., Cheung, Y. K., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2023-080307 · Cited by 2

Between Scylla and Charybdis – Enigmatic role of lipoprotein(a) in atherosclerotic cardiovascular disease and type 2 diabetes mellitus

Li, Q., Xu, J., Xiong, Z., & Ying, Q. (2025) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2025.112940 · Cited by 2

Genetic and Metabolic Determinants of Plasminogen Activator Inhibitor 1 (PAI-1) in Tunisian Type 2 Diabetes Patients

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Peer support interventions in maternal and child healthcare delivery in sub-Saharan Africa: protocol for a realist review

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Programmes’ and students’ roles in test‐enhanced learning

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Questions de planification clinique : un nouvel outil pour évaluer la capacité des étudiants en médecine à identifier les éléments-clés discriminants d’un diagnostic différentiel

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A Histopathological Image Feature Representation Method Based on Deep Learning

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Impact of targeted diabetic retinopathy training for graders in Vietnam and the implications for future diabetic retinopathy screening programmes: a diagnostic test accuracy study

Curran, K., Congdon, N. G., Hoang, T. T., Lohfeld, L. H., Nguyen, V. T., Huế, N. T., Nguyen, Q. N., Dardis, C., Virgili, G., Piyasena, P., et al. (2022) · BMJ Open · doi:10.1136/bmjopen-2021-059205 · Cited by 2

Placebo Effect: A New Approach to Explanation of its Psychophysiological Mechanisms

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Blood flow modeling reveals improved collateral artery performance during mammalian heart regenerationPreprint

Anbazhakan, S., Coronado, P. E. R., Sy-Quia, A. N. L., Seow, A., Hands, A. M., Zhao, M., Dong, M. L., Pfaller, M. R., Raftrey, B. C., Cook, C. K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.09.17.460699 · Cited by 2

Comprehensive analysis using DNA metabarcoding, PCR, and HPLC unveils the adulteration in Brahmi herbal productsPreprint

Shah, A. P., Travadi, T., Sharma, S., Pandit, R. J., Joshi, C. G., & Joshi, M. N. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.07.30.501660 · Cited by 2

The Clinical Effectiveness of One-Dose HPV Vaccine: A meta-analysis of 902,368 vaccinated womenPreprint

Setiawan, D., Nurulita, N. A., Khoirunnisa, S. M., & Postma, M. J. (2023) · medRxiv · doi:10.1101/2023.08.17.23294214 · Cited by 2

A simple coronary blood flow model to study the collateral flow index

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Brain functional network connectivity interpolation characterizes the neuropsychiatric continuum and heterogeneity

Li, X., Geenjaar, E., Fu, Z., Pearlson, G. D., & Calhoun, V. D. (2026) · Imaging Neuroscience · doi:10.1162/imag.a.1220 · Cited by 1

Insights into the systemic risk factors associated with diabetic retinopathy in the Indian population: A comprehensive systematic review and meta-analysis

Muhammed Favas, K. T., Niveditha, M., Yoosuf, B. T., Bhukya, M., Gupta, P. C., Dutta, P. R., & Bansal, D. (2024) · Indian Journal of Ophthalmology · doi:10.4103/ijo.ijo_818_24 · Cited by 1

Patient-Reported Experience Measures in Vascular Surgery Enhancement (PREMIERE) study: protocol for a mixed-methods study to develop and validate a vascular surgery-specific patient-reported experience measure

Darwish, M., Palmer, R., Coulson, J., Bosanquet, D. C., & Withers, K. L. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-089240 · Cited by 1

Realist review protocol for understanding young people’s experiences of engaging with police-mental health practitioner collaboration in emergency responses to mental health crises

Parry, S. L., Oakes, L., Eve, Z., Edwards, S., Lobban, F. A., Chitsabesan, P., & Wong, G. (2025) · Systematic Reviews · doi:10.1186/s13643-025-02882-4 · Cited by 1

Time trend and geographical distribution of major depressive disorder in Iran, 1990 to 2021: results from the Global Burden of Disease Study

Soodejani, M. T., & Shamsi, F. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-095730 · Cited by 1

Approaches That Simplify Implementation of Complex Interventions in Healthcare System Change: “Scoping Review”

Alsaqqa, H. H. (2025) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s544368 · Cited by 1

Empirical phenotyping of joint patient-care data supports hypothesis-driven investigation of mechanical ventilation consequences

Stroh, J. N., Sottile, P. D., Wang, Y., Smith, B. J., Bennett, T. D., Moss, M., & Albers, D. J. (2025) · Scientific Reports · doi:10.1038/s41598-025-24489-4 · Cited by 1

Understanding how and why upskilling programmes for unregulated care providers can support health equity in underserved communities: a realist review protocol

Hassan, S. I., Rac, V. E., Hodges, B. D., Leake, P., Cobbing, S., Gray, C. M., Bartley, N., Etherington, A., Abdulwasi, M., Cheung, H.-C. K., et al. (2023) · BMJ Open · doi:10.1136/bmjopen-2023-072570 · Cited by 2

Behavioral interventions of dietary changes to reduce depressive symptoms: a meta-analysis

Eissenstat, S. J., Gao, N., Kim, B., Brody, R. A., & Hauck, E. (2023) · Journal of Public Health · doi:10.1007/s10389-023-02157-z · Cited by 1

Upskilling programmes for unregulated care providers to provide diabetic foot screening for systematically marginalised populations: how, why and in what contexts do they work? A realist review

Hassan, S. I., Rac, V. E., Hodges, B. D., Leake, P., Cobbing, S., Gray, C. M., Bartley, N., Etherington, A., Abdulwasi, M., Cheung, H.-C. K., et al. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-081006 · Cited by 2

Effects of interventional public health laws and regulations intended to reduce gambling-related harms: a realist review study protocol

Fisher, M., Piper, T., Mavi, S., Nambiar, J., Sharma, P. K., Kirby, J., Meléndez‐Torres, G. J., Montgomery, P., Fewell, G., Chandan, J. S., et al. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-093906 · Cited by 1

Frailty and Resilience: Are They Necessarily Mutually Exclusive?

Holland, C., Garner, I. W., & Gwyther, H. (2018) · Springer eBooks · doi:10.1007/978-3-319-97034-9_7 · Cited by 1

A Biomicrofluidic Screening Platform for Dysfunctional Endothelium‐Targeted Nanoparticles and Therapeutics

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Conversations and Communication

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New aspects of pharmacological treatment of diabetic retinopathy in type 2 diabetic patients

Milczarczyk, A., & Franek, E. (2013) · Kardiologia Polska · doi:10.5603/kp.2013.0084

The Role of Antithrombin III in the Pathogenesis of the Thrombotic Status in Type 2 Diabetes Mellitus

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Correlations between Inflammation and Thrombosis in the Pathogeny of Myocardial Infarction

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Selection Practices and Methods in Other Fields

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Understanding the Field of Public Policy in the Context of Public Administration Evolution

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Functional and Process Model on Big Data, Machine Learning, and Digital Phenotyping in Clinical Psychiatry

Annamalai, A. (2022) · Indian Journal of Psychological Medicine · doi:10.1177/02537176221090793

Reducing sepsis-related unplanned 30-day readmissions at a hospital-based skilled nursing facility

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Designing a Library of Lived Experience for Mental Health: integrated realist synthesis and experience-based co-design studyPreprint

Marshall, P., Lobban, F. A., Barbrook, J., Collins, G., Foster, S., Glossop, Z., Inkster, C., Jebb, P., Johnston, R., Khan, H., et al. (2023) · medRxiv · doi:10.1101/2023.09.06.23295134

Factors impacting on the implementation of clinical management guidelines (CMGs) for high consequence infectious diseases (HCIDs) during outbreaks globally: a systematic reviewPreprint

Dahmash, D. T., Michelen, M., Rigby, I., Piotrowski, H., Nartowski, R. O., Cheng, V., Dagens, A., Harriss, E., Hart, P. J., Jacob, S. T., et al. (2024) · medRxiv · doi:10.1101/2024.11.21.24317702

Dysfunctional oscillatory bursting patterns underlie working memory deficits in adolescents with ADHDPreprint

Kavanaugh, B. C., Vigne, M. M., Gamble, I., Legere, C. H., DePamphilis, G., Acuff, W. L., Tirrell, E., Vaughan, N., Thorpe, R. V., Spirito, A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.12.09.627520

Emergency care for young people after self-harm: a realist review protocol

Romeu, D., Ambler, F., Brennan, C. A., Wright, J. M., Booth, A., Cottrell, D. J., & Guthrie, E. (2025) · BMJ Open · doi:10.1136/bmjopen-2025-099554

Weak brain-mental health associations in population neuroimaging tasks reflect a signal evocation bottleneckPreprint

Korponay, C. H., Cohen‐Gilbert, J. E., Kumar, P., Harnett, N. G., Medina, A., Cheng, Y., Forester, B. P., Ressler, K. J., Demsar, J., Frederick, B. B., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.06.11.659091 · Cited by 1

Association between antidepressants and antimicrobial resistance: a scoping reviewPreprint

Adekanmi, B. G., Marwick, C., Wang, H., & Barnett, K. N. (2025) · medRxiv · doi:10.1101/2025.07.02.25330745

An Eco-Evolutionary Framework to Predict Long-term Strain Diversity and Turnover in Infectious DiseasesPreprint

Liu, J., & He, Q. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.08.08.669409

Analysis of Vulnerabilities in Global Production Networks Through Disruption Simulation

Janssen, B., Schuh, G., Schmitz, S., & Schollemann, A. (2025) · IFIP advances in information and communication technology · doi:10.1007/978-3-032-03542-4_6

Improving employer and employee well-being in small and medium-sized enterprises in Flanders: a realist evaluation protocol of the FitBonus program

Wielle, F. V. D., Vandecasteele, R., Verbestel, V., Verloigne, M., Deforche, B. I., Crutzen, R., & Clays, E. (2025) · BMC Public Health · doi:10.1186/s12889-025-24091-3

Additional file 5 of Implementing surgical mentorship in a resource-constrained context: a mixed methods assessment of the experiences of mentees, mentors, and leaders, and lessons learned

Alidina, S., Sydlowski, M. M., Ahearn, O., Gashaw, B., Barash, D. M., Bari, S., Barringer, E., Bekele, A., Beyene, A., Burssa, D., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20762826

Additional file 5 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714119

Additional file 6 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714125

Additional file 7 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714128

Additional file 1 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714107

Additional file 4 of Implementing surgical mentorship in a resource-constrained context: a mixed methods assessment of the experiences of mentees, mentors, and leaders, and lessons learned

Alidina, S., Sydlowski, M. M., Ahearn, O., Gashaw, B., Barash, D. M., Bari, S., Barringer, E., Bekele, A., Beyene, A., Burssa, D., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20762823

Additional file 4 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714116

Additional file 3 of Implementing surgical mentorship in a resource-constrained context: a mixed methods assessment of the experiences of mentees, mentors, and leaders, and lessons learned

Alidina, S., Sydlowski, M. M., Ahearn, O., Gashaw, B., Barash, D. M., Bari, S., Barringer, E., Bekele, A., Beyene, A., Burssa, D., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20762817

Additional file 1 of Impact of health system engagement on the health and well-being of people who use drugs: a realist review protocol

Salvalaggio, G., Ferguson, L., Brooks, H. L., Campbell, S., Gladue, V., Hyshka, E., Lam, L., Morris, H. M., Nixon, L. L., & Springett, J. (2022) · Figshare · doi:10.6084/m9.figshare.19596311

Additional file 1 of Implementing surgical mentorship in a resource-constrained context: a mixed methods assessment of the experiences of mentees, mentors, and leaders, and lessons learned

Alidina, S., Sydlowski, M. M., Ahearn, O., Gashaw, B., Barash, D. M., Bari, S., Barringer, E., Bekele, A., Beyene, A., Burssa, D., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20762811

Additional file 2 of Implementing surgical mentorship in a resource-constrained context: a mixed methods assessment of the experiences of mentees, mentors, and leaders, and lessons learned

Alidina, S., Sydlowski, M. M., Ahearn, O., Gashaw, B., Barash, D. M., Bari, S., Barringer, E., Bekele, A., Beyene, A., Burssa, D., et al. (2022) · Figshare · doi:10.6084/m9.figshare.20762814

Additional file 2 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714110

Additional file 1 of A realist evaluation of a home-based end of life care service for children and families: what works, for whom, how, in what circumstances and why?

Malcolm, C., & Knighting, K. (2022) · Figshare · doi:10.6084/m9.figshare.19321493

Additional file 3 of The susceptibility of SERPINE1 rs1799889 SNP in diabetic vascular complications: a meta-analysis of fifty-one case-control studies

Chen, J., Zhai, C., Wang, Z., Li, R., Wu, W., Hou, K., Alzogool, M., Wang, Y., & Cong, H. (2021) · Figshare · doi:10.6084/m9.figshare.16714113

Functional connectivity in infants’ visual cortex and its links to motion processing and autism

Hardiansyah, I., Bussu, G., Bölte, S., Jones, E. J. H., & Falck‐Ytter, T. (2026) · Scientific Reports · doi:10.1038/s41598-026-42048-3

A continuous viral vaccine biomanufacturing platform utilizing multiple bioreactor configurations

Sargunas, J., Priem, B., Carman, D. R., Sarvari, T., Nold, N. M., Sharma, V., Pekosz, A. S., Heldt, C. L., & Betenbaugh, M. J. (2026) · Journal of Biological Engineering · doi:10.1186/s13036-026-00680-7

Designing and delivering youth mental health services for young people, with young people: what works? A protocol for a realist eDelphi study on effective co-production

Jones, V. R., Rathore, I., Waring, J. J., Wright, N., & Fenton, S. (2026) · BMJ Open · doi:10.1136/bmjopen-2025-105765

Association of plasminogen activator inhibitor-1 4G5G Polymorphism with risk of diabetic nephropathy and retinopathy: a systematic review and meta-analysis

Dastgheib, S. A., Najafi, F., Shajari, A., Bahrami, R., Asadian, F., Sadeghizadeh‐Yazdi, J., Akbarian, E., Emarati, S. A., & Neámatzadeh, H. (2020) · Journal of Diabetes & Metabolic Disorders · doi:10.1007/s40200-020-00675-1 · Cited by 13

PAI-1 4G/5G insertion/deletion promoter polymorphism and microvascular complications in type 2 diabetes mellitus

Funk, M., Endler, G., Exner, M., Marculescu, R., Endler, L., Abrahamian, H., Mauler, H., Grimm, A., Raith, M., Mannhalter, C., et al. (2005) · Wiener klinische Wochenschrift · doi:10.1007/s00508-005-0425-9 · Cited by 10

Association between 4G/4G plasminogen activator inhibitor-1 polymorphism, PAI-1 activity, and diabetic retinopathy

Rasol, H. A., Attia, F. M., Ismail, S. M., Abdelazeem, A. A., Noweir, S. R., Aziz, M. A., & Osman, Z. (2012) · The Egyptian Journal of Haematology · doi:10.7123/01.ejh.0000415057.95581.7c · Cited by 2

Diabetic retinopathy, PAI-1 4G/5G and −844G/A polymorphisms, and changes in circulating PAI-1 levels in Tunisian type 2 diabetes patients

Ezzidi, I., Mtiraoui, N., Chaïeb, M., Kacem, M., Mahjoub, T., & Almawi, W. Y. (2009) · Diabetes & Metabolism · doi:10.1016/j.diabet.2008.12.002 · Cited by 32

Diabetic Retinopathy, Promoter (4G/5G) Polymorphism of PAI-1 Gene, and PAI-1 Activity in Pima Indians With Type 2 Diabetes

Nagi, D. K., McCormack, L. J., Mohamed‐Ali, V., Yudkin, J. S., Knowler, W. C., & Grant, P. J. (1997) · Diabetes Care · doi:10.2337/diacare.20.8.1304 · Cited by 63