Articles | Volume 7, issue 6
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
Implant surface modifications as a prevention method for periprosthetic joint infection caused by Staphylococcus aureus: a systematic review and meta-analysis
Krisna Yuarno Phatama, Respati Suryanto Dradjat, Edi Mustamsir, Dwi Yuni Nurhidayati, Dewi Santosaningsih, Dwikora Novembri Utomo, and Mohamad Hidayat
J. Bone Joint Infect., 7, 231–239,,, 2022
Short summary
Unexpected positive intraoperative cultures (UPIC) at index osseointegration do not lead to increased postoperative infectious events
Jason S. Hoellwarth, Taylor J. Reif, Michael W. Henry, Andy O. Miller, Austin C. Kaidi, and S. Robert Rozbruch
J. Bone Joint Infect., 7, 155–162,,, 2022
Short summary

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,, 2020. 
Ahn, E., Kahn, H.: Introduction to systemic review and meta-analysis, Korean J.Anesthesiol., 71, 103–112,, 2018. 
Bhandari, M., Morrow, F., Kulkarni, A. V., and Tornetta, P.: Meta-analyses in orthopaedic surgery. A systematic review of their methodologies, J. Bone Joint Am., 83, 15–24, 2001. 
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,, 2018. 
Cochrance Library: (last access: 20 August 2022), Wiley, © 2000–2022, 2016. 
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.