The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
A call for transparent reporting to optimize the predictive value of preclinical research
Open accessAbstract
Deficiencies in methods reporting in animal experimentation lead to difficulties in reproducing experiments; the authors propose a set of reporting standards to improve scientific communication and study design. Animal studies have contributed immensely to our understanding of diseases and assist the development of new therapies, but inadequate experimental reporting can sometimes render such studies difficult to reproduce and to translate into the clinic. This year, a US National Institute of Neurological Disorders and Stroke workshop addressed this issue, and its conclusions are discussed in a Perspective piece in this issue of Nature. The main workshop recommendation is that at a minimum, studies should report on randomization, blinding, sample-size estimation and how the data were handled. The US National Institute of Neurological Disorders and Stroke convened major stakeholders in June 2012 to discuss how to improve the methodological reporting of animal studies in grant applications and publications. The main workshop recommendation is that at a minimum studies should report on sample-size estimation, whether and how animals were randomized, whether investigators were blind to the treatment, and the handling of data. We recognize that achieving a meaningful improvement in the quality of reporting will require a concerted effort by investigators, reviewers, funding agencies and journal editors. Requiring better reporting of animal studies will raise awareness of the importance of rigorous study design to accelerate scientific progress.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“In a hypothesis-testing study powered to detect an effect on the primary outcome measure, data on secondary outcomes are used to evaluate additional effects of the intervention, but subsequent statistical analysis of secondary outcome measures may be underpowered, making results and interpretation less reliable [88,93].”
From Reporting animal research: Explanation and elaboration for the ARRIVE guidelines 2.0 (2020) · cites this paper as [93]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“In contrast, greater use of measures to control risk of bias in animal experiments, such as randomization and blinding (Landis et al., 2012), was correlated with greater effect size decreases in replications.”
From Estimating the replicability of Brazilian biomedical science (2025) · cites this paper as Landis et al., 2012
The cited source says what the claim attributes to it.
In the citing paper
“Other factors have been identified that could improve replicability, such as blinding, randomization, and sample size planning (Landis et al., 2012; Macleod and Mohan, 2019).”
From Investigating the replicability of preclinical cancer biology (2021) · cites this paper as Landis et al., 2012
The cited source says what the claim attributes to it.
In the citing paper
“The low replication success rates and small effect sizes we found reinforce prior calls for improving the rigor and transparency of preclinical research to improve the allocation of limited resources and to protect human participants from being enrolled in trials that are based on weak evidence”
From Investigating the replicability of preclinical cancer biology (2021) · cites this paper as Landis et al., 2012
The cited source says what the claim attributes to it.
In the citing paper
“By providing a comprehensive set of recommendations that are specifically tailored to the description of in vivo research, they help authors reporting animal experiments adhere to the National Institutes of Health (NIH) standards [43] and the minimum standards framework and checklist (Materials, Design, Analysis and Reporting [MDAR] [47]).”
From The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research (2020) · cites this paper as [43]
In the citing paper
“The standards have been adopted by the National Institutes of Health (8,70).”
From Radiomics: Images Are More than Pictures, They Are Data (2016) · cites this paper as [70]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
CONSORT 2010 Statement: updated guidelines for reporting parallel group randomised trials
the CONSORT Group, Schulz, K. F., Altman, D. G., & Moher, D. (2010) · BMC Medicine · doi:10.1186/1741-7015-8-18 · Cited by 13,371
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · PLoS Medicine · doi:10.1371/journal.pmed.0020124 · Cited by 10,505
The file drawer problem and tolerance for null results.
Rosenthal, R. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.3.638 · Cited by 9,068
Moher, D., Hopewell, S., Schulz, K. F., Montori, V., Gotzsche, P. C., Devereaux, P. J., Elbourne, D., Egger, M., & Altman, D. G. (2010) · BMJ · doi:10.1136/bmj.c869 · Cited by 8,883
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
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567
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) · Journal of Pharmacology and Pharmacotherapeutics · doi:10.4103/0976-500x.72351 · Cited by 6,277
Schulz (1995) · doi:10.1001/jama.1995.03520290060030 · Cited by 5,634
Moher, D., Schulz, K. F., & Altman, D. G. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04337-3 · Cited by 5,373
Why Most Published Research Findings Are False
Ioannidis, J. P. A. (2005) · CHANCE · doi:10.1080/09332480.2005.10722754 · Cited by 4,702
Cited by
Sorted by citations
Radiomics: Images Are More than Pictures, They Are Data
Gillies, R. J., Kinahan, P. E., & Hricak, H. (2016) · Radiology · doi:10.1148/radiol.2015151169 · Cited by 8,421
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 · doi:10.1371/journal.pbio.3000410 · Cited by 5,939
Self-citationThe ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
du Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · Experimental Physiology · doi:10.1113/ep088870 · Cited by 3,547
Self-citationReporting 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 · doi:10.1371/journal.pbio.3000411 · Cited by 2,677
“In a hypothesis-testing study powered to detect an effect on the primary outcome measure, data on secondary outcomes are used to evaluate additional effects of the intervention, but subsequent statistical analysis of secondary outcome measures may be underpowered, making results and interpretation less reliable [88,93…”
BackgroundSelf-citationPolicy: NIH to balance sex in cell and animal studies
Clayton, J. A., & Collins, F. S. (2014) · Nature · doi:10.1038/509282a · Cited by 1,816
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 · doi:10.1177/0271678x20943823 · Cited by 1,443
Self-citationPolicy: NIH plans to enhance reproducibility
Collins, F. S., & Tabak, L. A. (2014) · Nature · doi:10.1038/505612a · Cited by 1,247
Chamorro, Á., Dirnagl, U., Urra, X., & Planas, A. M. (2016) · The Lancet Neurology · doi:10.1016/s1474-4422(16)00114-9 · Cited by 1,198
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
du Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · British Journal of Pharmacology · doi:10.1111/bph.15193 · Cited by 1,152
Self-citationThe economics of reproducibility in preclinical research
Freedman, L. P., Cockburn, I. M., & Simcoe, T. S. (2015) · PLOS Biology · doi:10.1371/journal.pbio.1002165 · Cited by 1,055
The ARRIVE guidelines 2019: updated guidelines for reporting animal researchPreprint
du Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/703181 · Cited by 1,044
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
Clinton, S. K., Giovannucci, E. L., & Hursting, S. D. (2019) · Journal of Nutrition · doi:10.1093/jn/nxz268 · Cited by 1,047
Structure and dynamics of molecular networks: A novel paradigm of drug discovery
Csermely, P., Korcsmáros, T., Kiss, H., London, G., & Nussinov, R. (2013) · Pharmacology & Therapeutics · doi:10.1016/j.pharmthera.2013.01.016 · Cited by 911
Rescuing US biomedical research from its systemic flaws
Alberts, B., Kirschner, M. W., Tilghman, S., & Varmus, H. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1404402111 · Cited by 817
How to Make More Published Research True
Ioannidis, J. P. A. (2014) · PLoS Medicine · doi:10.1371/journal.pmed.1001747 · Cited by 760
Mouse Models of Human Disease: An Evolutionary Perspective
Perlman, R. L. (2016) · Evolution, Medicine, and Public Health · doi:10.1093/emph/eow014 · Cited by 647
The ARRIVE guidelines 2.0: updated guidelines for reporting animal research
du Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · The Journal of Physiology · doi:10.1113/jp280389 · Cited by 633
Self-citationYu, Z., Guindani, M., Grieco, S. F., Chen, L., Holmes, T. C., & Xu, X. (2022) · Neuron · doi:10.1016/j.neuron.2021.10.030 · Cited by 563
Reporting animal research: Explanation and Elaboration for the ARRIVE guidelines 2019Preprint
du Sert, N. P., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., Emerson, M., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/703355 · Cited by 557
Self-citationHow to measure and evaluate binding affinities
Jarmoskaite, I., AlSadhan, I., Vaidyanathan, P. P., & Herschlag, D. (2020) · eLife · doi:10.7554/elife.57264 · Cited by 514
The ARRIVE guidelines 2.0: Updated guidelines for reporting animal research
du Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · BMC Veterinary Research · doi:10.1186/s12917-020-02451-y · Cited by 531
Self-citationTranscriptional and Translational Differences of Microglia from Male and Female Brains
Guneykaya, D., Ivanov, A., Hernandez, D. P., Haage, V., Wojtas, B., Meyer, N., Maricos, M., Jordan, P., Buonfiglioli, A., Gielniewski, B., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.08.001 · Cited by 477
Meta-analysis of data from animal studies: A practical guide
Vesterinen, H. M., Sena, E. S., Egan, K. J., Hirst, T. C., Churolov, L., Currie, G. L., Antonic‐Baker, A., Howells, D. W., & Macleod, M. R. (2013) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2013.09.010 · Cited by 488
Self-citationReliability of conditioned pain modulation: a systematic review
Kennedy, D. L., Kemp, H. I., Ridout, D., Yarnitsky, D., & Rice, A. S. C. (2016) · Pain · doi:10.1097/j.pain.0000000000000689 · Cited by 456
Thompson, D. A., Lehmler, H., Kolpin, D. W., Hladik, M. L., Vargo, J. D., Schilling, K. E., LeFevre, G. H., Peeples, T. L., Poch, M. C., LaDuca, L. E., et al. (2020) · Environmental Science Processes & Impacts · doi:10.1039/c9em00586b · Cited by 472
Johnson, P. I., Sutton, P., Atchley, D. S., Koustas, E., Lam, J., Sen, S., Robinson, K. A., Axelrad, D. A., & Woodruff, T. J. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307893 · Cited by 449
AI for life: Trends in artificial intelligence for biotechnology
Holzinger, A., Keiblinger, K., Holub, P., Zatloukal, K., & Müller, H. (2023) · New Biotechnology · doi:10.1016/j.nbt.2023.02.001 · Cited by 438
Woodruff, T. J., & Sutton, P. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307175 · Cited by 427
Investigating the replicability of preclinical cancer biology
Errington, T. M., Mathur, M., Soderberg, C. K., Denis, A., Perfito, N., Iorns, E., & Nosek, B. A. (2021) · eLife · doi:10.7554/elife.71601 · Cited by 462
“Other factors have been identified that could improve replicability, such as blinding, randomization, and sample size planning (Landis et al., 2012; Macleod and Mohan, 2019).”
BackgroundConsidering sex as a biological variable in preclinical research
Miller, L., Marks, C. L., Becker, J. B., Hurn, P. D., Chen, W., Woodruff, T. K., McCarthy, M. M., Sohrabji, F., Schiebinger, L. L., Wetherington, C. L., et al. (2016) · The FASEB Journal · doi:10.1096/fj.201600781r · Cited by 406
Does age matter? The impact of rodent age on study outcomes
Jackson, S. J., Andrews, N., Ball, D., Bellantuono, I., Gray, J., Hachoumi, L., Holmes, A., Latcham, J., Petrie, A., Potter, P., et al. (2017) · Laboratory Animals · doi:10.1177/0023677216653984 · Cited by 369
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 · doi:10.1371/journal.pbio.1002273 · Cited by 358
Self-citationEffects of tDCS on motor learning and memory formation: A consensus and critical position paper
Buch, E. R., Santarnecchi, E., Antal, A., Jan Born, A., Celnik, P. A., Claßen, J., Gerloff, C. P., Hallett, M., Hummel, F. C., Nitsche, M. A., et al. (2017) · Clinical Neurophysiology · doi:10.1016/j.clinph.2017.01.004 · Cited by 369
Koustas, E., Lam, J., Sutton, P., Johnson, P. I., Atchley, D. S., Sen, S., Robinson, K. A., Axelrad, D. A., & Woodruff, T. J. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307177 · Cited by 349
Maternal immune activation and autism spectrum disorder: From rodents to nonhuman and human primates
Careaga, M., Murai, T., & Bauman, M. D. (2017) · Biological Psychiatry · doi:10.1016/j.biopsych.2016.10.020 · Cited by 348
Lin, A. P., Andronesi, O. C., Bogner, W., Choi, I., Coello, E., Cudalbu, C., Juchem, C., Kemp, G. J., Kreis, R., Krššák, M., et al. (2021) · NMR in Biomedicine · doi:10.1002/nbm.4484 · Cited by 333
Challenges for assessing replicability in preclinical cancer biology
Errington, T. M., Denis, A., Perfito, N., Iorns, E., & Nosek, B. A. (2021) · eLife · doi:10.7554/elife.67995 · Cited by 345
Daugherty, A., Tall, A. R., Daemen, M. J. A. P., Falk, E., Fisher, E. A. A., García‐Cardeña, G., Lusis, A. J., Owens, A. P., Rosenfeld, M. E., & Virmani, R. (2017) · Arteriosclerosis Thrombosis and Vascular Biology · doi:10.1161/atv.0000000000000062 · Cited by 321
An open investigation of the reproducibility of cancer biology research
Errington, T. M., Iorns, E., Gunn, W., Tan, F. E., Lomax, J., & Nosek, B. A. (2014) · eLife · doi:10.7554/elife.04333 · Cited by 312
Reproducible Research Practices and Transparency across the Biomedical Literature
Iqbal, S. A., Wallach, J. D., Khoury, M. J., Schully, S. D., & Ioannidis, J. P. A. (2016) · PLOS Biology · doi:10.1371/journal.pbio.1002333 · Cited by 310
Baker, D., Lidster, K., Sottomayor, A., & Amor, S. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001756 · Cited by 305
Henderson, V. C., Kimmelman, J., Fergusson, D. A., Grimshaw, J., & Hackam, D. G. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001489 · Cited by 331
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
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
What exactly is ‘N’ in cell culture and animal experiments?
Lazic, S. E., Clarke-Williams, C. J., & Munafò, M. R. (2018) · PLOS Biology · doi:10.1371/journal.pbio.2005282 · Cited by 291
Self-citationdu Sert, N. P., Hurst, V., Ahluwalia, A., Alam, S., Avey, M. T., Baker, M., Browne, W. J., Clark, A., Cuthill, I. C., Dirnagl, U., et al. (2020) · BMJ Open Science · doi:10.1136/bmjos-2020-100115 · Cited by 309
Self-citationTaegtmeyer, H., Young, M. E., Lopaschuk, G. D., Abel, E. D., Brunengraber, H., Darley-Usmar, V. M., Rosiers, C. D., Gerszten, R. E., Glatz, J. F. C., Griffin, J. L., et al. (2016) · Circulation Research · doi:10.1161/res.0000000000000097 · Cited by 286
Minireview: Endocrine disruptors: Past lessons and future directions
Schug, T. T., Johnson, A. F., Birnbaum, L. S., Colborn, T., Guillette, L. J., Crews, D. P., Collins, T., Soto, A. M., vom Saal, F. S., McLachlan, J. A., et al. (2016) · Molecular Endocrinology · doi:10.1210/me.2016-1096 · Cited by 282
When Quality Beats Quantity: Decision Theory, Drug Discovery, and the Reproducibility Crisis
Scannell, J. W., & Bosley, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0147215 · Cited by 279
Microglia Activation as a Biomarker for Traumatic Brain Injury
Hernandez‐Ontiveros, D. G., Tajiri, N., Acosta, S., Giunta, B. N., Tan, J., & Borlongan, C. V. (2013) · Frontiers in Neurology · doi:10.3389/fneur.2013.00030 · Cited by 292
Crowdsourcing reproducible seizure forecasting in human and canine epilepsy
Brinkmann, B. H., Wagenaar, J., Abbot, D., Adkins, P., Bosshard, S. C., Chen, M., Tieng, Q. M., He, J., Muñoz–Almaraz, F. J., Botella-Rocamora, P., et al. (2016) · Brain · doi:10.1093/brain/aww045 · Cited by 275
Sena, E. S., Currie, G. L., McCann, S. K., Macleod, M. R., & Howells, D. W. (2014) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1038/jcbfm.2014.28 · Cited by 264
Self-citationTatem, K. S., Quinn, J. L., Phadke, A., Yu, Q., Gordish‐Dressman, H., & Nagaraju, K. (2014) · Journal of Visualized Experiments · doi:10.3791/51785 · Cited by 256
Lazic, S. E., & Essioux, L. (2013) · BMC Neuroscience · doi:10.1186/1471-2202-14-37 · Cited by 260
Self-citationKentner, A. C., Bilbo, S. D., Brown, A. S., Hsiao, E. Y., McAllister, A. K., Meyer, U., Pearce, B. D., Pletnikov, M. V., Yolken, R. H., & Bauman, M. D. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0185-7 · Cited by 259
Improving target assessment in biomedical research: the GOT-IT recommendations
Emmerich, C. H., Martinez‐Gamboa, L., Hofmann, M. C. J., Bonin, M., Arbach, O., Schendel, P., Gerlach, B., Hempel, K., Bespalov, A., Dirnagl, U., et al. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0087-3 · Cited by 243
Distinguishing between exploratory and confirmatory preclinical research will improve translation
Kimmelman, J., Mogil, J. S., & Dirnagl, U. (2014) · PLoS Biology · doi:10.1371/journal.pbio.1001863 · Cited by 236
Meta-analysis of preclinical studies of mesenchymal stromal cells for ischemic stroke
Vu, Q., Xie, K., Eckert, M., Zhao, W., & Cramer, S. C. (2014) · Neurology · doi:10.1212/wnl.0000000000000278 · Cited by 235
Reproducibility and replicability of rodent phenotyping in preclinical studies
Kafkafi, N., Agassi, J., Chesler, E. J., Crabbe, J. C., Crusio, W. E., Eilam, D., Gerlai, R., Golani, I., Gomez-Marin, A., Heller, R., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.01.003 · Cited by 215
Lam, J., Koustas, E., Sutton, P., Johnson, P. I., Atchley, D. S., Sen, S., Robinson, K. A., Axelrad, D. A., & Woodruff, T. J. (2014) · Environmental Health Perspectives · doi:10.1289/ehp.1307923 · Cited by 214
The importance of interventional timing in the bleomycin model of pulmonary fibrosis
Kolb, P., Upagupta, C., Vierhout, M., Ayaub, E. A., Bellaye, P., Gauldie, J., Shimbori, C., Inman, M. D., Ask, K., & Kolb, M. R. J. (2020) · European Respiratory Journal · doi:10.1183/13993003.01105-2019 · Cited by 219
Preclinical research in Rett syndrome: setting the foundation for translational success
Katz, D. M., Berger-Sweeney, J. E., Eubanks, J. H., Justice, M. J., Neul, J. L., Pozzo-Miller, L., Blue, M. E., Christian, D., Crawley, J. N., Giustetto, M., et al. (2012) · Disease Models & Mechanisms · doi:10.1242/dmm.011007 · Cited by 206
Improving and Accelerating Drug Development for Nervous System Disorders
Pankevich, D. E., Altevogt, B. M., Dunlop, J., Gage, F. H., & Hyman, S. (2014) · Neuron · doi:10.1016/j.neuron.2014.10.007 · Cited by 208
Wild-type microglia do not reverse pathology in mouse models of Rett syndrome
Wang, J., Wegener, E., Huang, T.-W., Sripathy, S. P., Jesús‐Cortés, H. D., Xu, P., Tran, S., Knobbe, W., Leko, V., Britt, J. K., et al. (2015) · Nature · doi:10.1038/nature14444 · Cited by 208
Progress in using systematic reviews of animal studies to improve translational research
Hooijmans, C. R., & Ritskes-Hoitinga, M. (2013) · PLoS Medicine · doi:10.1371/journal.pmed.1001482 · Cited by 195
Dirnagl, U., & Endres, M. (2014) · Stroke · doi:10.1161/strokeaha.113.004075 · Cited by 194
Carbone, L., & Austin, J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0155001 · Cited by 191
Heier, C. R., Damsker, J. M., Yu, Q., Dillingham, B. C., Huynh, T., van der Meulen, J. H., Sali, A., Miller, B. K., Phadke, A., Scheffer, L., et al. (2013) · EMBO Molecular Medicine · doi:10.1002/emmm.201302621 · Cited by 191
Self-citationThe mdx mouse model as a surrogate for D uchenne muscular dystrophy
Partridge, T. A. (2013) · FEBS Journal · doi:10.1111/febs.12267 · Cited by 192
(‐)‐Epicatechin protects hemorrhagic brain via synergistic Nrf2 pathways
Chang, C.-F., Cho, S., & Wang, J. (2014) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.54 · Cited by 184
The role of sleep in recovery following ischemic stroke: A review of human and animal data
Duss, S. B., Seiler, A., Schmidt, M. H., Pace, M., Adamantidis, A., Müri, R. M., & Bassetti, C. L. (2016) · Neurobiology of Sleep and Circadian Rhythms · doi:10.1016/j.nbscr.2016.11.003 · Cited by 189
Daugherty, A., Tall, A. R., Daemen, M. J. A. P., Falk, E., Fisher, E. A. A., García‐Cardeña, G., Lusis, A. J., Owens, A. P., Rosenfeld, M. E., & Virmani, R. (2017) · Circulation Research · doi:10.1161/res.0000000000000169 · Cited by 186
Lazic, S. E., & Essioux, L. (2016) · Cited by 182
Self-citationAchieving neuroprotection with LRRK2 kinase inhibitors in Parkinson disease
West, A. B. (2017) · Experimental Neurology · doi:10.1016/j.expneurol.2017.07.019 · Cited by 182
Shi, X., Bai, H., Wang, J., Wang, J., Huang, L., He, M., Zheng, X., Duan, Z., Chen, D., Zhang, J., et al. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.667511 · Cited by 183
on behalf of the IICARus Collaboration, Hair, K., Macleod, M. R., & Sena, E. S. (2019) · Research Integrity and Peer Review · doi:10.1186/s41073-019-0069-3 · Cited by 174
Self-citationLeung, V., Rousseau-Blass, F., Beauchamp, G., & Pang, D. S. J. (2018) · PLOS ONE · doi:10.1371/journal.pone.0197882 · Cited by 172
Brooks‐Kayal, A. R., Bath, K. G., Berg, A. T., Galanopoulou, A. S., Holmes, G. L., Jensen, F. E., Kanner, A. M., O'Brien, T. J., Whittemore, V., Winawer, M. R., et al. (2013) · Epilepsia · doi:10.1111/epi.12298 · Cited by 171
Mobley, A. K., Linder, S. K., Braeuer, R. R., Ellis, L. M., & Zwelling, L. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0063221 · Cited by 164
Effects of Rodent Thermoregulation on Animal Models in the Research Environment
Hankenson, F. C., Marx, J. O., Gordon, C. J., & David, J. M. (2018) · Comparative Medicine · doi:10.30802/aalas-cm-18-000049 · Cited by 171
Next-Generation Treatments for Mental Disorders
Insel, T. R. (2012) · Science Translational Medicine · doi:10.1126/scitranslmed.3004873 · Cited by 164
The golden retriever model of Duchenne muscular dystrophy
Kornegay, J. N. (2017) · Skeletal Muscle · doi:10.1186/s13395-017-0124-z · Cited by 167
The role of glycosylation in IBD
Τheodoratou, E., Campbell, H. J., Ventham, N. T., Kolarich, D., Pučić‐Baković, M., Zoldoš, V., Fernandes, D. L., Pemberton, I. K., Rudan, I., Kennedy, N. A., et al. (2014) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2014.78 · Cited by 164
Toward more predictive genetic mouse models of Alzheimer’s disease
Onos, K. D., Sukoff Rizzo, S. J., Howell, G. R., & Sasner, M. (2016) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2015.12.003 · Cited by 156
Oxygenation in Cell Culture: Critical Parameters for Reproducibility Are Routinely Not Reported
Al-Ani, A., Toms, D., Kondro, D., Thundathil, J., Yu, Y., & Ungrin, M. (2018) · PLOS ONE · doi:10.1371/journal.pone.0204269 · Cited by 152
Löscher, W. (2016) · Epilepsy Research · doi:10.1016/j.eplepsyres.2016.05.016 · Cited by 155
Soliman, N., Haroutounian, S., Hohmann, A. G., Krane, E. J., Liao, J., Macleod, M. R., Segelcke, D., Sena, C., Thomas, J., Vollert, J., et al. (2021) · Pain · doi:10.1097/j.pain.0000000000002269 · Cited by 153
Self-citationHsiao, J. H., Yuan, T., Tsai, M. S., Lu, C., Lin, Y.-H., Lee, M. L., Lin, S., Chang, F., Pimentel, H. L., Olive, C., et al. (2016) · EBioMedicine · doi:10.1016/j.ebiom.2016.05.011 · Cited by 149
Cavernous angiomas: deconstructing a neurosurgical disease
Awad, I. A., & Polster, S. P. (2019) · Journal of neurosurgery · doi:10.3171/2019.3.jns181724 · Cited by 150
Krauth, D., Woodruff, T. J., & Bero, L. A. (2013) · Environmental Health Perspectives · doi:10.1289/ehp.1206389 · Cited by 154
Kehne, J. H., Klein, B. D., Raeissi, S. D., & Sharma, S. (2017) · Neurochemical Research · doi:10.1007/s11064-017-2275-z · Cited by 151
Johnson, P. I., Koustas, E., Vesterinen, H. M., Sutton, P., Atchley, D. S., Kim, A. N., Campbell, M. A., Donald, J. M., Sen, Ś., Bero, L. A., et al. (2016) · Environment International · doi:10.1016/j.envint.2016.03.009 · Cited by 143
Editorial: preclinical data reproducibility for R&D - the challenge for neuroscience
Steckler, T. (2015) · SpringerPlus · doi:10.1186/2193-1801-4-1 · Cited by 143
Karuppagounder, S. S., Alim, I., Khim, S. J., Bourassa, M. W., Sleiman, S. F., John, R., Thinnes, C. C., Yeh, T.-L., Demetriades, M., Neitemeier, S., et al. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aac6008 · Cited by 141
Drug screening for human genetic diseases using iPSC models
Elitt, M. S., Barbar, L., & Tesar, P. J. (2018) · Human Molecular Genetics · doi:10.1093/hmg/ddy186 · Cited by 147
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
“portending a waning confidence in animal model data to identify promising therapeutic targets.(5,7,11,12,22,23) Cardiovascular research and development, in particular, has fared poorly in recent years relative to other disease categories, exhibiting the greatest decline as a percentage of total projects(4) and among t…”
InfluentialAn Analysis of Mesenchymal Stem Cell-Derived Extracellular Vesicles for Preclinical Use
Tieu, A., Lalu, M. M., Slobodian, M., Gnyra, C., Fergusson, D. A., Montroy, J. R., Burger, D. E., Stewart, D. J., & Allan, D. (2020) · ACS Nano · doi:10.1021/acsnano.0c01363 · Cited by 139
Antonic‐Baker, A., Sena, E. S., Lees, J. S., Wills, T. E., Skeers, P., Batchelor, P., Macleod, M. R., & Howells, D. W. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001738 · Cited by 134
Self-citationClark, T., Ciccarese, P., & Goble, C. (2014) · Journal of Biomedical Semantics · doi:10.1186/2041-1480-5-28 · Cited by 149
Metadata
- Authors
- 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., Finkelstein, R., Fisher, M., Gendelman, H. E., Golub, R. M., Goudreau, J. L., Gross, R. A., Gubitz, A. K., Hesterlee, S. E., Howells, D. W., Huguenard, J., Kelner, K., Koroshetz, W., Krainc, D., Lazic, S. E., Levine, M. S., Macleod, M. R., McCall, J. M., Moxley III, R. T., Narasimhan, K., Noble, L. J., Perrin, S., Porter, J. D., Steward, O., Unger, E., Utz, U., & Silberberg, S. D.
- Affiliations
- National Institutes of Health (US)
- University of Pittsburgh (US)
- Bayer (Germany) (DE)
- CHDI Foundation (US)
- Cornell University (US)
- Howard Hughes Medical Institute (US)
- Alzheimer's Drug Discovery Foundation (US)
- University of Massachusetts Chan Medical School (US)
- University of Nebraska Medical Center (US)
- American Medical Association (US)
- Michigan State University (US)
- University of Rochester Medicine (US)
- Parent Project Muscular Dystrophy (US)
- The University of Melbourne (AU)
- Stanford University (US)
- American Association For The Advancement of Science (US)
- Harvard University (US)
- F. Hoffmann-La Roche AG (CH)
- University of California, Los Angeles (US)
- Western General Hospital (GB)
- Amyotrophic Lateral Sclerosis Therapy Development Institute (US)
- University of California, Irvine (US)
- United States Food and Drug Administration (US)
- Corresponding author
- Silberberg, Shai D.
- ORCID
- Amara, Susan G.
- Crystal, Ronald G.
- Darnell, Robert B.
- Fillit, Howard
- Fisher, Marc
- Gendelman, Howard E.
- Goudreau, John L.
- Gross, Robert A.
- Howells, David W.
- Huguenard, John
- Koroshetz, Walter
- Krainc, Dimitri
- Lazic, Stanley E.
- Macleod, Malcolm R.
- Porter, John D.
- Steward, Oswald
- Unger, Ellis
- Utz, Ursula
- Silberberg, Shai D.
- Venue
- Nature
- Published
- 2012-10
- Volume
- 490
- Issue
- 7419
- Pages
- 187-191
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC3511845
- OpenAlex
- W2137516955
- Cited by
- 1,196
- References
- 71
- Citations by year
- 2026: 45 · 2025: 57 · 2024: 40 · 2023: 72 · 2022: 68 · 2021: 80 · 2020: 91 · 2019: 87 · 2018: 79 · 2017: 116 · 2016: 136 · 2015: 129 · 2014: 115 · 2013: 68 · 2012: 12
- FWCI
- 149.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Nature (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Journal of the American Medical Association (JAMA) Network (American Medical Association) (submittedVersion, cc-by-nc-sa)
- RePEc: Research Papers in Economics (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-sa)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
- Funders
- National Institutes of Health (Z99 NS999999, 5t32ns007280-35)
- National Institute of Mental Health (P30MH062261, T32MH020016)
- National Institute of Neurological Disorders and Stroke (T32NS-007280, P01NS012151, R01NS041574, R01NS034774, R01NS006477)
- National Center for Research Resources (UL1RR024160)
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- animal experimentation, preclinical research, reporting guidelines, reproducibility, sample size determination, randomization, blinding, data handling, translational research, grant applications, peer review
- MeSH terms
- Animals, Publishing, Random Allocation, Research Design, Statistics as Topic, Sample Size
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 ›
Are you an author, or do you see a problem with this page? Request a review
