{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T05:15:14Z","timestamp":1788498914136,"version":"build-2803163510"},"reference-count":57,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T00:00:00Z","timestamp":1788480000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Traditional Chinese Medicine Research and Development Laboratory Construction Project","award":["PDZY-2026-0801"],"award-info":[{"award-number":["PDZY-2026-0801"]}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>Post-Stroke Cognitive Impairment (PSCI) is a common complication after stroke, significantly affecting patients\u2019 quality of life and long-term prognosis. Although PSCI has been extensively studied, most research combines ischemic and hemorrhagic strokes. Whether the distinct inflammatory mechanisms and vascular injury underlying ischemic stroke-specific cognitive dysfunction (ISCD) have followed an independent research trajectory remains unknown from a bibliometric perspective.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using the Web of Science Core Collection (2004\u20132024), our study identified 1,062 articles focused on ISCD for bibliometric analyses. Following cross-validation with PubMed confirming complete literature concordance, bibliometric tools (CiteSpace, VOSviewer, the R-based bibliometrix package) were employed to analyze publication trends, contributions and collaborations among countries, institutions, journals, and authors. Subgroup analyses quantified trends in inflammatory biomarkers, assessment tools and prediction models.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Annual publication peaked in 2022 (\n                      <jats:italic>n<\/jats:italic>\n                      \u202f=\u202f133), followed by a decline in 2023 and 2024. China dominated in productivity (31.4%), while the United States exhibited the highest collaborative centrality (0.30). Keyword bursts identified ischemic-specific hotspots, including \u201cmodel\u201d (2021, burst strength\u202f=\u202f4.66), \u201cvalidation\u201d (2022, burst strength\u202f=\u202f4.96), and \u201cinflammation\u201d (2021, burst strength\u202f=\u202f3.83). Inflammatory biomarkers and assessment tools have consistently been research hotspots in ISCD, recent efforts are shifting toward the development of prediction models for cognitive outcomes following acute ischemic stroke.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>This ischemic-specific bibliometric analysis confirms that inflammatory biomarkers, assessment tools, and prediction models are persistent hotspots in ISCD, with a clear ongoing shift from descriptive studies toward predictive model development and validation. These findings provide a quantitative literature-based rationale for guiding future research directions.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.3389\/fneur.2026.1891094","type":"journal-article","created":{"date-parts":[[2026,9,4]],"date-time":"2026-09-04T04:24:26Z","timestamp":1788495866000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Ischemic stroke-specific cognitive dysfunction: a bibliometric analysis of research evolution"],"prefix":"10.3389","volume":"17","author":[{"given":"Wenliang","family":"Ma","sequence":"first","affiliation":[{"name":"School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lan","family":"Luo","sequence":"additional","affiliation":[{"name":"School of Gongli Hospital Medical Technology, University of Shanghai for Science and Technology","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingcang","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Radiology, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ting","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Central Laboratory, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences","place":["Shanghai, China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ying","family":"Wang","sequence":"additional","affiliation":[{"name":"Traditional Chinese Medicine Research and Development Laboratory, Pudong Gongli Hospital, Shanghai University of Medicine & Health Sciences","place":["Shanghai, China"]},{"name":"Department of Central Laboratory, Pudong Gongli Hospital, Shanghai University of Medicine & Health 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