Articles | Volume 7, issue 6
https://doi.org/10.5194/jbji-7-269-2022
https://doi.org/10.5194/jbji-7-269-2022
Original full-length article
 | 
21 Dec 2022
Original full-length article |  | 21 Dec 2022

The scientific publication score – a new tool for summarizing evidence and data quality criteria of biomedical publications

Dieter Bettin, Thomas Maurer, Ferdinand Schlatt, and Simon Bettin

Related subject area

Subject: Prosthesis-related infections | Topic: Prevention and control
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Cited articles

Achakulvisut, T., Bhagavatula, C., Acuna, D., and Kording, K.: Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning. arXiv [preprint], arXiv:1907.00962, https://doi.org/10.48550/arXiv.1907.00962, 2020. 
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Boyle, K. K., Kuo, F.-C., Horcajada, J. P., Hughes, H., Cavagnaro, L., Marculescu, C., McLaren, A., Nodzo, S. R., Riccio, G., Sendi, P., Silibovsky, R., Stammers, J., Tan, T. L., and Wimmer, M.: General Assembly, Treatment, Antimicrobials: Proceedings of International Consensus on Orthopedic Infections, J. Arthroplasty, 34, 225–237, https://doi.org/10.1016/j.arth.2018.09.074, 2018. 
Cochrance Library: https://www.cochranelibrary.com/advanced-search (last access: 20 August 2022), Wiley, © 2000–2022, 2016. 
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Short summary
The scientific publication score (SPS) summarizes specific publication results. It is organized into five levels (1–5) based on evidence, data and statistical criteria. In risk factors for prosthetic joint infections, the highest scores were noted for anemia, malignancy and previous alloarthroplasty; for diagnosis methods, these were obtained for aspirate leucocyte count, neutrophils over 80 and interleukin-6 level. SPS is a promising new tool for automatic data mining and systematic reviews.