Protocol for a retrospective, controlled cohort study of the impact of a change in Nature journals’ editorial policy for life sciences research on the completeness of reporting study design and execution

Scientometrics

Volumn 108, Issue 1, 2016, Pages 315-328

  Cramond, Fala ^a   Irvine, Cadi ^a   Liao, Jing ^a   Howells, David ^b   Sena, Emily ^a   Currie, Gillian ^a   Macleod, Malcolm ^a  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Methodological quality; Reporting; Reporting guidelines; Risk of bias; Study design

Indexed keywords

EID: 84966707941     PISSN: 01389130     EISSN: 15882861     Source Type: Journal    
DOI: 10.1007/s11192-016-1964-8     Document Type: Letter

References (10)

1. Anon, J. (2013). Announcement: Reducing our irreproducibility. Nature, 496(7446), 398.
2. Baker, D., Lidster, K., Sottomayor, A., & Amor, S. (2014). Two years later: Journals are not yet enforcing the ARRIVE guidelines on reporting standards for pre-clinical animal studies. PLoS Biology, 12, e1001756.
3. Begley, C. G., & Ellis, L. M. (2012). Drug development: Raise standards for preclinical cancer research. Nature, 483, 531–533.
4. Crossley, N. A., Sena, E., Goehler, J., Horn, J., van der Worp, B., Bath, P. M. W., et al. (2008). Empirical evidence of bias in the design of experimental stroke studies. A metaepidemiologic approach. Stroke, 39, 929–934.
5. Hirst, J. A., Howick, J., Aronson, J. K., Roberts, N., Perera, R., Koshiaris, C., & Heneghan, C. (2014). The need for randomization in animal trials: An overview of systematic reviews. PLoS One, 9, e98856.
6. Ioannidis, J. P., Greenland, S., Hlatky, M. A., Khoury, M. J., Macleod, M. R., Moher, D., et al. (2014). Increasing value and reducing waste in research design, conduct, and analysis. Lancet, 383, 166–175.
7. Kilkenny, C., Browne, W. J., Cuthill, I. C., Emerson, M., & Altman, D. G. (2010). Improving bioscience research reporting: The ARRIVE guidelines for reporting animal research. PLoS Biology, 8, e1000412.
8. Landis, S. C., Amara, S. G., Asadullah, K., Austin, C. P., Blumenstein, R., Bradley, E. W., et al. (2012). A call for transparent reporting to optimize the predictive value of preclinical research. Nature, 490, 187–191.
9. Macleod, M. R., Lawson, M. A., Kyriakopoulou, A., Serghiou, S., De, W. A., Sherratt, N., et al. (2015). Risk of bias in reports of in vivo research: A focus for improvement. PLoS Biology, 13, e1002273.
10. Prinz, F., Schlange, T., & Asadullah, K. (2011). Believe it or not: How much can we rely on published data on potential drug targets? Nature Reviews Drug Discovery, 10, 712.