{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,28]],"date-time":"2026-08-28T03:18:46Z","timestamp":1787887126595,"version":"build-2784847793"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"8","license":[{"start":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T00:00:00Z","timestamp":1781308800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"},{"start":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T00:00:00Z","timestamp":1781308800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"funder":[{"DOI":"10.13039\/501100004721","name":"The University of Tokyo","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004721","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["International Orthopaedics (SICOT)"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To explain how target trial emulation can help orthopaedic researchers design observational studies that are more clinically interpretable and less vulnerable to avoidable design bias.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>We provide a methodological overview of target trial emulation for orthopaedic research, using the comparison of postoperative outcomes after total hip arthroplasty versus bipolar hemiarthroplasty for hip fracture as an illustrative example. The review focused on translating a causal question into a target trial protocol, how conventional observational designs can introduce bias, and how routinely collected data can be used to emulate a target trial when key design conditions are met.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Target trial emulation begins by specifying the clinical question, hypothetical trial, and assumptions required for causal interpretation. This explicit specification is particularly relevant to orthopaedic observational research, wherein treatment decisions are often influenced by prognosis, functional status, surgeon judgment, and institutional context. Conventional observational analyses may be difficult to interpret when the eligibility criteria include patients for whom one treatment is not realistic, treatment labels combine important procedural variations, treatment assignment and follow-up are not aligned at time zero, or post-baseline information is used to modify follow-up or exclude patients. This framework can emphasise these problems before analysis, although it cannot overcome residual confounding, poor measurement, informative loss to follow-up, or other data limitations.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Target trial emulation can guide observational studies\u2019 design around treatment decisions encountered in routine practice. Its application may help orthopaedic researchers produce studies that are more transparent, clinically interpretable, and better aligned with decision-making in practice.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00264-026-06897-x","type":"journal-article","created":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T13:21:19Z","timestamp":1781356879000},"page":"2189-2200","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Improving the design of observational studies in orthopaedics: a practical guide to target trial emulation"],"prefix":"10.1007","volume":"50","author":[{"given":"Masaki","family":"Hatano","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuya","family":"Kimura","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hideo","family":"Yasunaga","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sakae","family":"Tanaka","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,6,13]]},"reference":[{"key":"6897_CR1","doi-asserted-by":"publisher","first-page":"1105","DOI":"10.1016\/s0140-6736(09)61116-8","volume":"6736","author":"P McCulloch","year":"2009","unstructured":"McCulloch P, Altman DG, Campbell WB, Flum DR, Glasziou P, Marshall JC, Nicholl J, Aronson JK, Barkun JS, Blazeby JM, Boutron IC, Campbell WB, Clavien PA, Cook JA, Ergina PL, Feldman LS, Flum DR, Maddern GJ, Nicholl J, Reeves BC, Seiler CM, Strasberg SM, Meakins JL, Ashby D, Black N, Bunker J, Burton M, Campbell M, Chalkidou K, Chalmers I, de Leval M, Deeks J, Ergina PL, Grant A, Gray M, Greenhalgh R, Jenicek M, Kehoe S, Lilford R, Littlejohns P, Loke Y, Madhock R, McPherson K, Meakins J, Rothwell P, Summerskill B, Taggart D, Tekkis P, Thompson M, Treasure T, Trohler U, Vandenbroucke J (2009) No surgical innovation without evaluation: the IDEAL recommendations. 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