Macleod, Malcolm

The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research

Percie du Sert, N., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · PLOS Biology

Animal testing and alternativesMeta-analysis and systematic reviews

Cited by 5,939

Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0

Percie du Sert, N., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., Emerson, M., et al. (2020) · PLOS Biology

Animal testing and alternativesMeta-analysis and systematic reviews

Cited by 2,677

Increasing value and reducing waste in research design, conduct, and analysis

Ioannidis, J. P. A., Greenland, S., Hlatky, M. A., Khoury, M. J., Macleod, M. R., Moher, D., Schulz, K. F., & Tibshirani, R. (2014) · The Lancet

Meta-analysis and systematic reviewsStatistical Methods in Epidemiology

Cited by 1,597

Incidence, prevalence, and predictors of chemotherapy-induced peripheral neuropathy: A systematic review and meta-analysis

Seretny, M., Currie, G. L., Sena, E. S., Ramnarine, S., Grant, R., MacLeod, M. R., Colvin, L. A., & Fallon, M. (2014) · Pain

Cancer Treatment and PharmacologyChemotherapy-related skin toxicity

Cited by 1,555

The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research*

Percie du Sert, N., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · Journal of Cerebral Blood Flow & Metabolism

Animal testing and alternativesMeta-analysis and systematic reviews

Cited by 1,443

Can Animal Models of Disease Reliably Inform Human Studies?

van der Worp, H. B., Howells, D. W., Sena, E. S., Porritt, M. J., Rewell, S., O'Collins, V., & Macleod, M. R. (2010) · PLoS Medicine

Animal testing and alternativesBiomedical Ethics and Regulation

Cited by 1,354

Neurological and neuropsychiatric complications of COVID-19 in 153 patients: a UK-wide surveillance study

Varatharaj, A., Thomas, N., Ellul, M. A., Davies, N. W. S., Pollak, T. A., Tenorio, E. L., Sultan, M., Easton, A., Breen, G., Zandi, M., et al. (2020) · The Lancet Psychiatry

Long-Term Effects of COVID-19COVID-19 Clinical Research Studies

Cited by 1,246

A call for transparent reporting to optimize the predictive value of preclinical research

Landis, S. C., Amara, S. G., Asadullah, K., Austin, C. P., Blumenstein, R., Bradley, E. W., Crystal, R. G., Darnell, R. B., Ferrante, R. J., Fillit, H., et al. (2012) · Nature

Animal testing and alternativesMeta-analysis and systematic reviews

Cited by 1,196

Comparison of Treatment Effects between Animal Experiments and Clinical Trials: Systematic Review

Perel, P., Roberts, I., Sena, E., Wheble, P., Briscoe, C., Sandercock, P., Macleod, M., Mignini, L. E., Jayaram, P., & Khan, K. S. (2007) · BMJ

Animal testing and alternativesAcute Ischemic Stroke Management

Cited by 827

Living systematic review: 1. Introduction-the why, what, when, and how

Elliott, J. H., Synnot, A., Turner, T., Simmonds, M., Akl, E. A., McDonald, S., Salanti, G., Meerpohl, J., MacLehose, H., Hilton, J., et al. (2017) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsClinical practice guidelines implementation

Cited by 655

Publication bias in reports of animal stroke studies leads to major overstatement of efficacy

Sena, E. S., van der Worp, H. B., Bath, P. M. W., Howells, D. W., & Macleod, M. R. (2010) · PLoS Biology

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 600

Risk of bias in reports of in vivo research: a focus for improvement

Macleod, M. R., Lawson McLean, A., Kyriakopoulou, A., Serghiou, S., de Wilde, A., Sherratt, N., Hirst, T., Hemblade, R., Bahor, Z., Nunes-Fonseca, C., et al. (2015) · PLOS Biology

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 358

Living systematic reviews: 2. Combining human and machine effort

Thomas, J., Noel-Storr, A., Marshall, I., Wallace, B., McDonald, S., Mavergames, C., Glasziou, P., Shemilt, I., Synnot, A., Turner, T., et al. (2017) · Journal of Clinical Epidemiology

Meta-analysis and systematic reviewsAcademic Publishing and Open Access

Cited by 355

Good Laboratory Practice: Preventing Introduction of Bias at the Bench

Macleod, M. R., Fisher, M., O'Collins, V., Sena, E. S., Dirnagl, U., Bath, P. M. W., Buchan, A., van der Worp, H. B., Traystman, R., Minematsu, K., et al. (2009) · Stroke

Animal testing and alternativesAcute Ischemic Stroke Management

Cited by 331

Living systematic reviews: 4. Living guideline recommendations.

Akl, E. A., Meerpohl, J. J., Elliott, J., Kahale, L. A., Schünemann, H. J., Agoritsas, T., Hilton, J., Perron, C., Akl, E., Hodder, R., et al. (2017) · Journal of Clinical Epidemiology

Clinical practice guidelines implementationMeta-analysis and systematic reviews

Cited by 328

Evidence for the Efficacy of NXY-059 in Experimental Focal Cerebral Ischaemia Is Confounded by Study Quality

Macleod, M. R., van der Worp, H. B., Sena, E. S., Howells, D. W., Dirnagl, U., & Donnan, G. A. (2008) · Stroke

Acute Ischemic Stroke ManagementMeta-analysis and systematic reviews

Cited by 319

Different Strokes for Different Folks: The Rich Diversity of Animal Models of Focal Cerebral Ischemia

Howells, D. W., Porritt, M. J., Rewell, S. S., O'Collins, V., Sena, E. S., van der Worp, H. B., Traystman, R. J., & Macleod, M. R. (2010) · Journal of Cerebral Blood Flow & Metabolism

Acute Ischemic Stroke ManagementNeurological Disease Mechanisms and Treatments

Cited by 309

Evaluation of excess significance bias in animal studies of neurological diseases

Tsilidis, K. K., Panagiotou, O. A., Sena, E. S., Aretouli, E., Evangelou, E., Howells, D. W., Salman, R. A.-S., Macleod, M. R., & Ioannidis, J. P. A. (2013) · PLoS Biology

Meta-analysis and systematic reviewsAnimal testing and alternatives

Cited by 295

Systematic reviews and meta-analysis of preclinical studies: why perform them and how to appraise them critically

Sena, E. S., Currie, G. L., McCann, S. K., Macleod, M. R., & Howells, D. W. (2014) · Journal of Cerebral Blood Flow & Metabolism

Meta-analysis and systematic reviewsMethodologies in Health Research and Practice

Cited by 264

SWIFT-Review: a text-mining workbench for systematic review

Howard, B. E., Phillips, J., Miller, K., Tandon, A., Mav, D., Shah, M. R., Holmgren, S., Pelch, K. E., Walker, V., Rooney, A. A., et al. (2016) · Systematic Reviews

Meta-analysis and systematic reviewsComputational and Text Analysis Methods

Cited by 196

Machine learning algorithms for systematic review: reducing workload in a preclinical review of animal studies and reducing human screening error

Bannach-Brown, A., Przybyła, P., Thomas, J., Rice, A. S. C., Ananiadou, S., Liao, J., & Macleod, M. R. (2019) · Systematic Reviews

Meta-analysis and systematic reviewsInformation Retrieval and Search Behavior

Cited by 185

Improving the translational hit of experimental treatments in multiple sclerosis

Vesterinen, H. M., Sena, E. S., ffrench-Constant, C., Williams, A., Chandran, S., & Macleod, M. R. (2010) · Multiple Sclerosis Journal

Multiple Sclerosis Research StudiesAnimal testing and alternatives

Cited by 182

Facilitating healthcare decisions by assessing the certainty in the evidence from preclinical animal studies

Hooijmans, C. R., de Vries, R. B. M., Ritskes-Hoitinga, M., Rovers, M. M., Leeflang, M. M., IntHout, J., Wever, K. E., Hooft, L., de Beer, H., Kuijpers, T., et al. (2018) · PLOS ONE

Meta-analysis and systematic reviewsAnimal testing and alternatives

Cited by 176

A randomised controlled trial of an Intervention to Improve Compliance with the ARRIVE guidelines (IICARus)

on behalf of the IICARus Collaboration, Hair, K., Macleod, M. R., & Sena, E. S. (2019) · Research Integrity and Peer Review

Animal testing and alternativesMeta-analysis and systematic reviews

Cited by 174