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Impact of Large Database Studies on Orthopedic Surgery Literature: Are We Advancing the Field?

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Journal HSS J
Date 2023 Apr 17
PMID 37065108
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Abstract

While database studies have become more prevalent in the literature, there is concern over their value. In addition, the questions they are suitable to answer are limited. : We sought to determine the incidence of database studies in the orthopedic literature and in each subspecialty. In addition, we wanted to assess the impact of database studies on the literature by determining whether citations and Altmetric Attention Scores (AAS) varied by study type (studies using internal or external databases and those not using databases). : We searched PubMed for articles published in impactful orthopedic surgery journals in the year 2018. All articles were discoverable on the Altmetric explorer portal database. Impact was determined by journal impact factor. Study design, subspecialty, number of citations, and AAS were obtained. Univariable analyses were conducted between study type, demographic variables, and the outcome of either citation count or AAS. Multivariable analyses were performed to identify independent predictors of the primary outcomes. Subgroup analyses were performed to differentiate the impact of external and internal database studies compared with non-database studies. : A total of 2684 total articles were eligible for inclusion. Of these, 366 studies (13.6%) were database studies. Hip and knee articles had the greatest incidence of database studies. Database studies had significantly more citations (5.9 vs 4.0) and significantly higher AAS (12.8 vs 11.3) compared with non-database studies. External database studies had significantly more citations (6.7 vs 4.8) and significantly higher AAS (14.0 vs 10.7) than internal database studies. Internal database studies had higher traditional citation counts but similar AAS to non-database studies. : In 2018, database studies in well-reputed orthopedic journals had a greater number of citations but similar AAS compared with non-database studies. Further studies are warranted.

References
1.
Grauer J, Leopold S . Editorial: large database studies--what they can do, what they cannot do, and which ones we will publish. Clin Orthop Relat Res. 2015; 473(5):1537-9. PMC: 4385344. DOI: 10.1007/s11999-015-4223-z. View

2.
Erivan R, Villatte G, Ollivier M, Reina N, Descamps S, Boisgard S . The top 100 most-cited Orthopaedics & Traumatology: Surgery & Research articles. Orthop Traumatol Surg Res. 2019; 105(8):1459-1462. DOI: 10.1016/j.otsr.2019.01.016. View

3.
Cram P, Hawker G, Matelski J, Ravi B, Pugely A, Gandhi R . Disparities in Knee and Hip Arthroplasty Outcomes: an Observational Analysis of the ACS-NSQIP Clinical Registry. J Racial Ethn Health Disparities. 2017; 5(1):151-161. PMC: 5610927. DOI: 10.1007/s40615-017-0352-2. View

4.
Bohl D, Russo G, Basques B, Golinvaux N, Fu M, Long 3rd W . Variations in data collection methods between national databases affect study results: a comparison of the nationwide inpatient sample and national surgical quality improvement program databases for lumbar spine fusion procedures. J Bone Joint Surg Am. 2014; 96(23):e193. DOI: 10.2106/JBJS.M.01490. View

5.
Luksameearunothai K, Chaudhry Y, Thamyongkit S, Jia X, Hasenboehler E . Assessing the level of evidence in the orthopaedic literature, 2013-2018: a review of 3449 articles in leading orthopaedic journals. Patient Saf Surg. 2020; 14:23. PMC: 7229577. DOI: 10.1186/s13037-020-00246-6. View