Comparison of Treatment Effects between Animal Experiments and Clinical Trials: Systematic Review
Open accessAbstract
OBJECTIVE: To examine concordance between treatment effects in animal experiments and clinical trials. Study design Systematic review. DATA SOURCES: Medline, Embase, SIGLE, NTIS, Science Citation Index, CAB, BIOSIS. STUDY SELECTION: Animal studies for interventions with unambiguous evidence of a treatment effect (benefit or harm) in clinical trials: head injury, antifibrinolytics in haemorrhage, thrombolysis in acute ischaemic stroke, tirilazad in acute ischaemic stroke, antenatal corticosteroids to prevent neonatal respiratory distress syndrome, and bisphosphonates to treat osteoporosis. Review methods Data were extracted on study design, allocation concealment, number of randomised animals, type of model, intervention, and outcome. RESULTS: Corticosteroids did not show any benefit in clinical trials of treatment for head injury but did show a benefit in animal models (pooled odds ratio for adverse functional outcome 0.58, 95% confidence interval 0.41 to 0.83). Antifibrinolytics reduced bleeding in clinical trials but the data were inconclusive in animal models. Thrombolysis improved outcome in patients with ischaemic stroke. In animal models, tissue plasminogen activator reduced infarct volume by 24% (95% confidence interval 20% to 28%) and improved neurobehavioural scores by 23% (17% to 29%). Tirilazad was associated with a worse outcome in patients with ischaemic stroke. In animal models, tirilazad reduced infarct volume by 29% (21% to 37%) and improved neurobehavioural scores by 48% (29% to 67%). Antenatal corticosteroids reduced respiratory distress and mortality in neonates whereas in animal models respiratory distress was reduced but the effect on mortality was inconclusive (odds ratio 4.2, 95% confidence interval 0.85 to 20.9). Bisphosphonates increased bone mineral density in patients with osteoporosis. In animal models the bisphosphonate alendronate increased bone mineral density compared with placebo by 11.0% (95% confidence interval 9.2% to 12.9%) in the combined results for the hip region. The corresponding treatment effect in the lumbar spine was 8.5% (5.8% to 11.2%) and in the combined results for the forearms (baboons only) was 1.7% (-1.4% to 4.7%). CONCLUSIONS: Discordance between animal and human studies may be due to bias or to the failure of animal models to mimic clinical disease adequately.
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A review of 221 animal experiments found agreement in human studies just 50% of the time-essentially randomly.
“A review of 221 animal experiments found agreement in human studies just 50% of the time—essentially randomly (11).”
From Limitations of Animal Studies for Predicting Toxicity in Clinical Trials (2019) · cites this paper as [11]
The Discussion reports agreement for three of six interventions, which supports the 50% figure at the intervention level—not as a rate across 221 individual experiments. The Methodological strengths and weaknesses section says the authors cannot provide a precise estimate of agreement or generalize from six interventions. Our copy does not substantiate the 221 figure or the conclusion that agreement was essentially random. (LLM, conf=0.88)
Experimental — accuracy not yet measuredConventional culture models and animal experiments often fail to predict efficacy and safety of novel drugs, resulting in loss of money, time, and effort.
“Although extensive testing with conventional culture models and animal experiments are commonly carried out before performing clinical trials, these models often fail to predict efficacy and safety of novel drugs, which results in loss of enormous amounts of money, time, and effort.80”
From Microfluidic Organ-on-a-Chip Models of Human Intestine (2018) · cites this paper as [80]
The Introduction says animal models are usually tested before clinical trials, and the Discussion reports that animal and clinical outcomes differed for three of six interventions. But the Methodological strengths and weaknesses section cautions against generalizing from those six interventions. The paper does not assess conventional culture models or establish failures to predict drug safety or resulting losses of money, time, and effort. Page numbers were not available for these passages. (LLM, conf=0.87)
Experimental — accuracy not yet measuredAnimal models are required for studying both physiological and behavioral mechanisms of Alzheimer's disease, but interspecies differences may result in unexpected results in clinical trials.
“Animal models are required for studying both physiological and behavioral mechanisms of AD, but interspecies differences may result in unexpected results in clinical trials [123,124].”
From Alzheimer's Disease: Treatment Strategies and Their Limitations. (2022) · cites this paper as [124]
The Introduction says biological differences between species can limit how animal findings apply to humans, and the Discussion reports differing animal and clinical results for some interventions. But the paper does not study Alzheimer's disease or say animal models are required to investigate its physiological and behavioral mechanisms; the Methodological strengths and weaknesses section explicitly says it cannot assess the value of animal research for studying biological mechanisms. (LLM, conf=0.88)
Experimental — accuracy not yet measuredPerel et al. compared the effects of 6 interventions between animals and humans with systematic literature reviews, with half of them concordant.
“Perel et al. compared the effects of 6 interventions between animals and humans with systematic literature reviews, with half of them concordant [59].”
From Animal to human translation: a systematic scoping review of reported concordance rates (2019) · cites this paper as [59]
Animal experiments have contributed significantly to understanding the mechanisms of disease.
“In general, animal experiments have contributed significantly to our understanding of the mechanisms of disease, but their value in predicting the effectiveness of treatment strategies has limitations [80,81,82].”
From Space Radiation: The number one risk to astronaut health beyond low earth orbit (2014) · cites this paper as [81]
The value of animal experiments in predicting the effectiveness of treatment strategies has limitations.
“In general, animal experiments have contributed significantly to our understanding of the mechanisms of disease, but their value in predicting the effectiveness of treatment strategies has limitations [80,81,82].”
From Space Radiation: The number one risk to astronaut health beyond low earth orbit (2014) · cites this paper as [81]
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Cites
Measuring inconsistency in meta-analyses
Higgins, J. P. T., Thompson, S. G., Deeks, J. J., & Altman, D. G. (2003) · BMJ · doi:10.1136/bmj.327.7414.557 · Cited by 63,139 · see citing works
Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722 · see citing works
Cochrane Handbook for Systematic Reviews of Interventions: Cochrane Book Series
(2008) · doi:10.1002/9780470712184 · Cited by 25,048 · see citing works
Cochrane Handbook for Systematic Reviews of Interventions
Higgins, J. P. T., Green, S., & Ben Van Den, A. (2020) · International Coaching Psychology Review · doi:10.53841/bpsicpr.2020.15.2.123 · Cited by 5,670 · see citing works
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634 · see citing works
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04337-3 · Cited by 5,373 · see citing works
Antenatal corticosteroids for accelerating fetal lung maturation for women at risk of preterm birth
Roberts, D., Brown, J., Medley, N., & Dalziel, S. R. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004454.pub3 · Cited by 2,806 · see citing works
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · BMC Medical Research Methodology · doi:10.1186/1471-2288-1-2 · Cited by 2,755 · see citing works
Hacke, W., Donnan, G. A., Fieschi, C., Kaste, M., von Kummer, R., Broderick, J. P., Brott, T. G., Frankel, M., Grotta, J. C., Haley, E. C., et al. (2004) · The Lancet · doi:10.1016/s0140-6736(04)15692-4 · Cited by 2,561 · see citing works
Antenatal corticosteroids for accelerating fetal lung maturation for women at risk of preterm birth
Roberts, D., & Dalziel, S. R. (2006) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd004454.pub2 · Cited by 1,591 · see citing works
Anti-fibrinolytic use for minimising perioperative allogeneic blood transfusion
Henry, D. A., Carless, P. A., Moxey, A. J., O’Connell, D. L., Stokes, B., Fergusson, D. A., & Ker, K. (2011) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001886.pub4 · Cited by 1,091 · see citing works
Bridging the implementation gap between knowledge and action for health.
(2004) · Europe PMC (PubMed Central) · doi:10.1590/s0042-96862004001000005 · Cited by 527 · see citing works
Where is the evidence that animal research benefits humans?
Pound, P., Ebrahim, S. B. J., Sandercock, P. A., Bracken, M. B., & Roberts, I. (2004) · BMJ · doi:10.1136/bmj.328.7438.514 · Cited by 507 · see citing works
Self-citationCernak, I. (2005) · NeuroRX · doi:10.1602/neurorx.2.3.410 · Cited by 462 · see citing works
II. Meta-Analysis of Alendronate for the Treatment of Postmenopausal Women
Cranney, A., Wells, G., Willan, A. R., Griffith, L. E., Zytaruk, N. L., Robinson, V. A., Black, D. M., Adachi, J. D., Shea, B., Tugwell, P., et al. (2002) · Endocrine Reviews · doi:10.1210/er.2001-2002 · Cited by 444 · see citing works
Edwards, P., Clarke, M., DiGuiseppi, C., Pratap, S., Roberts, I., & Wentz, R. (2002) · Statistics in Medicine · doi:10.1002/sim.1190 · Cited by 340 · see citing works
Self-citationDoes Masking Author Identity Improve Peer Review Quality?: A Randomized Controlled Trial
Justice, A. C., Cho, M. K., Winker, M. A., Berlin, J. A., Rennie, D., & and the PEER Investigators (1998) · JAMA · doi:10.1001/jama.280.3.240 · Cited by 278 · see citing works
Emergency medicine animal research: does use of randomization and blinding affect the results?
Bebarta, V., Luyten, D., & Heard, K. (2003) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.2003.tb00056.x · Cited by 244 · see citing works
Corticosteroids for acute traumatic brain injury
Alderson, P., & Roberts, I. (2005) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000196.pub2 · Cited by 243 · see citing works
Self-citationSystematic reviews of animal experiments
Sandercock, P. A., & Roberts, I. (2002) · The Lancet · doi:10.1016/s0140-6736(02)09812-4 · Cited by 157 · see citing works
Self-citationIntroducing Critical Appraisal to studies of animal models investigating novel therapies in sepsis
Piper, R. D., Cook, D. J., Bone, R. C., & Sibbald, W. J. (1996) · Critical Care Medicine · doi:10.1097/00003246-199612000-00021 · Cited by 132 · see citing works
Roberts, I. (2002) · BMJ · doi:10.1136/bmj.324.7335.474 · Cited by 128 · see citing works
Self-citationMeta-Analyses of Therapies for Postmenopausal Osteoporosis
The Osteoporosis Methodology Group (2002) · Endocrine Reviews · doi:10.1210/er.2001-1002 · Cited by 97 · see citing works
Anti-fibrinolytic use for minimising perioperative allogeneic blood transfusion
Henry, D. A., Moxey, A. J., Carless, P. A., O’Connell, D. L., McClelland, B., Henderson, K., Sly, K. A., Laupacis, A., & Fergusson, D. A. (1999) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd001886 · Cited by 95 · see citing works
Mignini, L. E., & Khan, K. S. (2006) · BMC Medical Research Methodology · doi:10.1186/1471-2288-6-10 · Cited by 94 · see citing works
Self-citationThrombolysis (different doses, routes of administration and agents) for acute ischaemic stroke
Wardlaw, J. M., Koumellis, P., & Liu, M. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000514.pub3 · Cited by 79 · see citing works
Emergency Medicine Animal Research: Does Use of Randomization and Blinding Affect the Results?
Bebarta, V. (2003) · Academic Emergency Medicine · doi:10.1197/aemj.10.6.684 · Cited by 79 · see citing works
Tirilazad for acute ischaemic stroke
The Tirilazad International Steering Committee (2001) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002087 · Cited by 59 · see citing works
Fielding, J. E. (2001) · Annual Review of Public Health · doi:10.1146/annurev.pu.22.010101.100001 · Cited by 29 · see citing works
Vivisection or science? An Investigation into Testing Drugs and Safeguarding Health
MacDonald, R. (2001) · BMJ · doi:10.1136/bmj.322.7278.115/a · Cited by 28 · see citing works
Thrombolysis (different doses, routes of administration and agents) for acute ischaemic stroke
Mielke, O., Wardlaw, J. M., & Liu, M. (2004) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd000514.pub2 · Cited by 25 · see citing works
An alternative pathway for preclinical research in fluid management
Sibbald, W. J. (2000) · Critical Care · doi:10.1186/cc970 · Cited by 22 · see citing works
Supportive evidence is lacking for report on animal studies
Pound, P., & Ebrahim, S. (2002) · BMJ · doi:10.1136/bmj.325.7371.1038/a · Cited by 7 · see citing works
Local warming does help when inserting cannulas
Beer, J. (2002) · BMJ · doi:10.1136/bmj.325.7371.1038 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Power failure: why small sample size undermines the reliability of neuroscience
Button, K. S., Ioannidis, J. P. A., Mokrysz, C., Nosek, B. A., Flint, J., Robinson, E. S. J., & Munafò, M. R. (2013) · Nature Reviews Neuroscience · doi:10.1038/nrn3475 · Cited by 7,641 · see citing works
Improving Bioscience Research Reporting: The ARRIVE Guidelines for Reporting Animal Research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010) · PLoS Biology · doi:10.1371/journal.pbio.1000412 · Cited by 7,300 · see citing works
SYRCLE’s risk of bias tool for animal studies
Hooijmans, C. R., Rovers, M. M., de Vries, R. B., Leenaars, M., Ritskes-Hoitinga, M., & Langendam, M. W. (2014) · BMC Medical Research Methodology · doi:10.1186/1471-2288-14-43 · Cited by 4,415 · see citing works
Belmaker, R. H., & Agam, G. (2008) · New England Journal of Medicine · doi:10.1056/nejmra073096 · Cited by 2,166 · see citing works
Zeng, X., Zhang, Y., Kwong, J. S. W., Zhang, C., Li, S., Sun, F., Niu, Y., & Du, L. (2015) · Journal of Evidence-Based Medicine · doi:10.1111/jebm.12141 · Cited by 2,082 · see citing works
Ma, L.-L., Wang, Y.-Y., Yang, Z.-H., Huang, D., Weng, H., & Zeng, X.-T. (2020) · Military Medical Research · doi:10.1186/s40779-020-00238-8 · Cited by 1,648 · see citing works
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 · doi:10.1371/journal.pmed.1000245 · Cited by 1,354 · see citing works
Self-citationReproducibility in Science: Improving the Standard for Basic and Preclinical Research
Begley, C. G., & Ioannidis, J. P. A. (2015) · Circulation Research · doi:10.1161/circresaha.114.303819 · Cited by 1,035 · see citing works
Dissemination and publication of research findings: an updated review of related biases
Song, F., Parekh, Hooper, L., Loke, Y., Ryder, J., Sutton, A., Hing, C., Kwok, C., Pang, C., & Harvey, I. (2010) · Health Technology Assessment · doi:10.3310/hta14080 · Cited by 1,039 · see citing works
Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research
Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2012) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2012.02.010 · Cited by 728 · see citing works
Limitations of Animal Studies for Predicting Toxicity in Clinical Trials
Van Norman, G. A. (2019) · JACC: Basic to Translational Science · doi:10.1016/j.jacbts.2019.10.008 · Cited by 709 · see citing works
“A review of 221 animal experiments found agreement in human studies just 50% of the time—essentially randomly (11).”
BackgroundPublication 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 · doi:10.1371/journal.pbio.1000344 · Cited by 600 · see citing works
“tPA [15] 105 256 4,029 22.”
MethodSelf-citationMicrofluidic Organ-on-a-Chip Models of Human Intestine
Bein, A., Shin, W., Jalili-Firoozinezhad, S., Park, M. H., Sontheimer-Phelps, A., Tovaglieri, A., Chalkiadaki, A., Kim, H. J., & Ingber, D. E. (2018) · Cellular and Molecular Gastroenterology and Hepatology · doi:10.1016/j.jcmgh.2017.12.010 · Cited by 601 · see citing works
Alzheimer's Disease: Treatment Strategies and Their Limitations.
Passeri, E., Elkhoury, K., Morsink, M., Broersen, K., Linder, M., Tamayol, A., Malaplate, C., Yen, F. T., & Arab-Tehrany, E. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms232213954 · Cited by 592 · see citing works
“Animal models are required for studying both physiological and behavioral mechanisms of AD, but interspecies differences may result in unexpected results in clinical trials [123,124].”
BackgroundThe Flaws and Human Harms of Animal Experimentation
AKHTAR, A. (2015) · Cambridge Quarterly of Healthcare Ethics · doi:10.1017/s0963180115000079 · Cited by 527 · see citing works
Space Radiation: The number one risk to astronaut health beyond low earth orbit
Chancellor, J., Scott, G., & Sutton, J. (2014) · Life · doi:10.3390/life4030491 · Cited by 455 · see citing works
The problem of pseudoreplication in neuroscientific studies: is it affecting your analysis?
Lazic, S. E. (2010) · BMC Neuroscience · doi:10.1186/1471-2202-11-5 · Cited by 381 · see citing works
Askari, M., Afzali Naniz, M., Kouhi, M., Saberi, A., Zolfagharian, A., & Bodaghi, M. (2021) · Biomaterials Science · doi:10.1039/d0bm00973c · Cited by 369 · see citing works
Why animal studies are often poor predictors of human reactions to exposure
Bracken, M. B. (2009) · Journal of the Royal Society of Medicine · doi:10.1258/jrsm.2008.08k033 · Cited by 362 · see citing works
Macleod, M. R., van der Worp, H. B., Sena, E. S., Howells, D. W., Dirnagl, U., & Donnan, G. A. (2008) · Stroke · doi:10.1161/strokeaha.108.515957 · Cited by 319 · see citing works
Self-citationAnimal to human translation: a systematic scoping review of reported concordance rates
Leenaars, C. H. C., Kouwenaar, C., Stafleu, F. R., Bleich, A., Ritskes-Hoitinga, M., De Vries, R. B. M., & Meijboom, F. L. B. (2019) · Journal of Translational Medicine · doi:10.1186/s12967-019-1976-2 · Cited by 310 · see citing works
Marx, U. (2016) · ALTEX · doi:10.14573/altex.1603161 · Cited by 295 · see citing works
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 · doi:10.1371/journal.pbio.1001609 · Cited by 295 · see citing works
Self-citationThe need for randomization in animal trials: an overview of systematic reviews
Hirst, J. A., Howick, J., Aronson, J. K., Roberts, N., Perera, R., Koshiaris, C., & Heneghan, C. (2014) · PLoS ONE · doi:10.1371/journal.pone.0098856 · Cited by 294 · see citing works
Centeno, E. G. Z., Cimarosti, H., & Bithell, A. (2018) · Molecular Neurodegeneration · doi:10.1186/s13024-018-0258-4 · Cited by 268 · see citing works
Is animal research sufficiently evidence based to be a cornerstone of biomedical research?
Pound, P., & Bracken, M. B. (2014) · BMJ · doi:10.1136/bmj.g3387 · Cited by 207 · see citing works
An analysis of the use of animal models in predicting human toxicology and drug safety
Bailey, J., Thew, M., & Balls, M. (2014) · Alternatives to Laboratory Animals · doi:10.1177/026119291404200306 · Cited by 182 · see citing works
Limitations in predicting the space radiation health risk for exploration astronauts
Chancellor, J. C., Blue, R. S., Cengel, K. A., Auñón-Chancellor, S. M., Rubins, K. H., Katzgraber, H. G., & Kennedy, A. R. (2018) · npj Microgravity · doi:10.1038/s41526-018-0043-2 · Cited by 183 · see citing works
Translating animal research into clinical benefit
Hackam, D. G. (2007) · BMJ · doi:10.1136/bmj.39104.362951.80 · Cited by 157 · see citing works
Ramirez, F. D., Motazedian, P., Jung, R. G., Di Santo, P., MacDonald, Z. D., Moreland, R., Simard, T., Clancy, A. A., Russo, J. J., Welch, V. A., et al. (2017) · Circulation Research · doi:10.1161/circresaha.117.310628 · Cited by 138 · see citing works
Applications of tumor chip technology
Hachey, S. J., & Hughes, C. C. W. (2018) · Lab on a Chip · doi:10.1039/c8lc00330k · Cited by 128 · see citing works
Extrapolating from animals to humans
Ioannidis, J. P. A. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004631 · Cited by 124 · see citing works
Neuroprotection in Glaucoma: Animal Models and Clinical Trials
Almasieh, M., & Levin, L. A. (2017) · Annual Review of Vision Science · doi:10.1146/annurev-vision-102016-061422 · Cited by 111 · see citing works
Can animal data predict human outcome? Problems and pitfalls of translational animal research
Martić-Kehl, M. I., Schibli, R., & Schubiger, P. A. (2012) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-012-2175-z · Cited by 110 · see citing works
Systematic reviews of animal experiments demonstrate poor human clinical and toxicological utility
Knight, A. (2007) · Alternatives to Laboratory Animals · doi:10.1177/026119290703500610 · Cited by 105 · see citing works
Yue, X., Nguyen, T. D., Zellmer, V., Zhang, S., & Zorlutuna, P. (2018) · Biomaterials · doi:10.1016/j.biomaterials.2018.04.001 · Cited by 97 · see citing works
Deng, L., Bensing, B. A., Thamadilok, S., Yu, H., Lau, K., Chen, X., Ruhl, S., Sullam, P. M., & Varki, A. (2014) · PLoS Pathogens · doi:10.1371/journal.ppat.1004540 · Cited by 88 · see citing works
Empirical evaluation of which trial characteristics are associated with treatment effect estimates
Dechartres, A., Trinquart, L., Faber, T., & Ravaud, P. (2016) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2016.04.005 · Cited by 85 · see citing works
Maysami, S., Wong, R., Pradillo, J. M., Denes, A., Dhungana, H., Malm, T., Koistinaho, J., Orset, C., Rahman, M., Rubio, M., et al. (2016) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x15606714 · Cited by 84 · see citing works
The Nuremberg Code subverts human health and safety by requiring animal modeling
Greek, R., Pippus, A., & Hansen, L. A. (2012) · BMC Medical Ethics · doi:10.1186/1472-6939-13-16 · Cited by 78 · see citing works
An analysis of the use of dogs in predicting human toxicology and drug safety
Bailey, J., Thew, M., & Balls, M. (2013) · Alternatives to Laboratory Animals · doi:10.1177/026119291304100504 · Cited by 71 · see citing works
Huffman, D. M., Justice, J. N., Stout, M. B., Kirkland, J. L., Barzilai, N., & Austad, S. N. (2016) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glw106 · Cited by 52 · see citing works
Animal studies in spinal cord injury: A systematic review of methylprednisolone
Akhtar, A. Z., Pippin, J. J., & Sandusky, C. B. (2009) · Alternatives to Laboratory Animals · doi:10.1177/026119290903700108 · Cited by 54 · see citing works
Prediction of clinical risks by analysis of preclinical and clinical adverse events
Clark, M. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.02.008 · Cited by 36 · see citing works
Krauth, D., Anglemyer, A., Philipps, R., & Bero, L. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001770 · Cited by 36 · see citing works
NK <sub>1</sub> receptor antagonism and emotional processing in healthy volunteers
Chandra, P., Hafizi, S., Massey-Chase, R., Goodwin, G., Cowen, P., & Harmer, C. (2010) · Journal of Psychopharmacology · doi:10.1177/0269881109103101 · Cited by 30 · see citing works
Arnesdotter, E., Rogiers, V., Vanhaecke, T., & Vinken, M. (2021) · Critical Reviews in Toxicology · doi:10.1080/10408444.2021.1931027 · Cited by 27 · see citing works
van der Vaart, T., Overwater, I. E., Oostenbrink, R., Moll, H. A., & Elgersma, Y. (2015) · JAMA Neurology · doi:10.1001/jamaneurol.2015.0443 · Cited by 17 · see citing works
Hunter, H., de Gracia Hahn, D., Duret, A., Im, Y. R., Cheah, Q., Dong, J., Fairey, M., Hjalmarsson, C., Li, A., Lim, H. K., et al. (2020) · eLife · doi:10.7554/elife.56573 · Cited by 12 · see citing works
Multi-organ model assessment of neurotoxicity following exposure of liver spheroids to drugs
Wu, W., Anas, F., Koc, B., Tian, L., Hasselkus, R., Rezania, D., Sharareh, S., Farberov, L., Zlotnik, D., Alon, A., et al. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.118021 · Cited by 5 · see citing works
- Authors
- Perel, P., Roberts, I., Sena, E., Wheble, P., Briscoe, C., Sandercock, P., Macleod, M., Mignini, L. E., Jayaram, P., & Khan, K. S.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- University of Edinburgh (GB)
- Centro Rosarino de Estudios Perinatales (AR)
- Birmingham Women's Hospital (GB)
- Corresponding author
- Perel, Pablo
- ORCID
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2006-12-15
- Volume
- 334
- Issue
- 7586
- Pages
- 197
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC1781970
- OpenAlex
- W2156801000
- Cited by
- 827
- References
- 37
- Citations by year
- 2026: 38 · 2025: 32 · 2024: 39 · 2023: 40 · 2022: 45 · 2021: 66 · 2020: 47 · 2019: 47 · 2018: 46 · 2017: 44 · 2016: 45 · 2015: 53 · 2014: 49 · 2013: 36 · 2012: 39
- FWCI
- 6.92
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- BMJ (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- WBI Studies Repository (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Funders
- Pfizer
- Medical Research Council
- Health Technology Assessment Programme
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Health Sciences › Medicine › Epidemiology › Acute Ischemic Stroke Management
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- clinical trials, translational research, traumatic brain injury, antifibrinolytic agents, hemorrhage, thrombolysis, ischemic stroke, tirilazad, antenatal corticosteroids, neonatal respiratory distress syndrome, bisphosphonates, osteoporosis, alendronate, bone mineral density
- MeSH terms
- Animals, Clinical Trials as Topic, Humans, Research Design, Bias, Treatment Outcome, Models, Animal, Animal Experimentation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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