Bettin Dieter, Maurer Thomas, Schlatt Ferdinand, Bettin Simon
Department for General Orthopedics and Tumor Orthopedics, University Clinic Münster, 48149 Münster, Germany.
Orthopedic Clinic Kantonsspital Baselland Liestal, 4410 Liestal, Switzerland.
J Bone Jt Infect. 2022 Dec 21;7(6):269-278. doi: 10.5194/jbji-7-269-2022. eCollection 2022.
The number of biomedical research articles increases by over 2.5 million publications each year, making it difficult to stay up to date. In this study, we introduce a standardized search and evaluation tool to combat this issue. Employing crowdsourcing, a large database of publications is gathered. Using a standardized data entry format, coined the "scientific publication score" (SPS), specific publication results can be easily aggregated, thereby allowing fast and accurate comparisons for clinical questions. The SPS combines two quality dimensions. The first captures the quality of evidence of the study using the evidence criteria defined by the Centre for Evidence-Based Medicine, Oxford, UK. The second is more fine-grained and considers the magnitude of statistical analyses on individual and specific results. From 2014 to 2019, experts of the European Bone and Joint Infection Society (EBJIS) were asked to enter data of relevant publications about prosthetic joint infection. Data and evidence levels of specific results were averaged, summarized and ranked. A total of 366 publications were divided into two groups: (I) risk factors (e.g., host-related factors, pre- and postoperative issues) with 243 publications and (II) diagnostic methods (e.g., laboratory tests, imaging methods) with 123 publications. After ranking, the highest score for risk factors of prosthetic joint infection were calculated by the SPS for anemia (mean SD 0.91), malignancy (mean SD 0.29) and previous alloarthroplasty (mean SD 0.35). A comparison of the full SPS ranking with the ranking determined at the 2018 International Consensus Meeting (ICM) on Musculoskeletal Infection resulted in a Spearman rank correlation coefficient of 0.48 and a value of 0.0382. The diagnostic methods ranked highest by the SPS were aspirate leucocyte count (mean SD 1.21), interleukin 6 (mean SD 1.07) and aspirate (neutrophils over 80 %) (mean SD 0.63). The comparison to the ICM ranking yielded a Spearman rank correlation coefficient of 0.91 and a value of 0.0015. Our pilot study evaluated a new tool for the quality assessment of specific results based on the quality of the source publication. The SPS is suitable for a ranking of specific results by evidence and data quality criteria important for systematic reviews.
生物医学研究文章的数量每年增加超过250万篇，这使得跟上最新进展变得困难。在本研究中，我们引入了一种标准化的检索和评估工具来解决这个问题。通过众包方式，收集了一个大型出版物数据库。使用一种标准化的数据录入格式，即 “科学出版物评分”（SPS），可以轻松汇总特定的出版结果，从而能够对临床问题进行快速准确的比较。SPS结合了两个质量维度。第一个维度使用英国牛津循证医学中心定义的证据标准来衡量研究证据的质量。第二个维度更细化，考虑对个体和特定结果的统计分析程度。2014年至2019年期间，欧洲骨与关节感染学会（EBJIS）的专家被要求录入有关人工关节感染的相关出版物数据。对特定结果的数据和证据水平进行平均、汇总和排名。总共366篇出版物被分为两组：（I）危险因素（如宿主相关因素、术前和术后问题），共243篇出版物；（II）诊断方法（如实验室检查、影像学方法），共123篇出版物。排名后，SPS计算出人工关节感染危险因素的最高得分，贫血（均值±标准差0.91）、恶性肿瘤（均值±标准差0.29）和既往全关节置换术（均值±标准差0.35）。将完整的SPS排名与2018年肌肉骨骼感染国际共识会议（ICM）确定的排名进行比较，斯皮尔曼等级相关系数为0.48，P值为0.0382。SPS排名最高的诊断方法是吸出液白细胞计数（均值±标准差1.21）、白细胞介素6（均值±标准差1.07）和吸出液（中性粒细胞超过80%）（均值±标准差0.63）。与ICM排名的比较得出斯皮尔曼等级相关系数为0.91，P值为0.0015。我们的初步研究评估了一种基于源出版物质量对特定结果进行质量评估的新工具。SPS适用于根据对系统评价重要的证据和数据质量标准对特定结果进行排名。
