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Understanding the prevalence and temporal patterns of these dysfunctions is crucial for effective clinical management. This study aimed to systematically review the literature and conduct a meta-analysis to determine the prevalence of pituitary axis dysfunction following TBI, assess temporal patterns across different post-injury durations, and identify potential contributing factors. A comprehensive search was conducted across multiple electronic databases between 1st of January 2000 until 31st March 2024. Studies reporting the prevalence of pituitary axis dysfunction post-TBI were included. Pooled estimates with 95% confidence intervals (CIs) were calculated using random-effects models in the R statistical software. Subgroup analyses were performed based on duration post-TBI (&lt;\u20093\u00a0months, 3\u20136\u00a0months, 6\u201312\u00a0months,\u2009&gt;\u200912\u00a0months) to explore temporal variations. Heterogeneity was assessed using the I^2 statistic. A total of 52 studies were included in the meta-analysis, encompassing 7367 participants. The pooled estimate for the prevalence of any pituitary axis dysfunction post-TBI was 33% (95% CI [28%; 37%]). Subgroup analysis by duration revealed varying prevalence rates:\u2009&lt;\u20093\u00a0months (40%, 95% CI [27%; 53%]), 3\u20136\u00a0months (31%, 95% CI [15%; 47%]), 6\u201312\u00a0months (26%, 95% CI [19%; 33%]), and\u2009&gt;\u200912\u00a0months (32%, 95% CI [26%; 38%]). Prevalence of multiple axes affection was 7% (95% CI [6%; 9%]), with varying rates across durations. Specific axes affection varied: Growth Hormone (GH) deficiency was 18% (95% CI [14%; 21%]), adrenocorticotropic hormone (ACTH) deficiency was 10% (95% CI [8%; 13%]), pituitary\u2013gonadal axis hormones deficiency was 16% (95% CI [12%; 19%]), and thyroid-stimulating hormone (TSH) deficiency was 6% (95% CI [5%; 7%]). This meta-analysis highlights a significant prevalence of pituitary axis dysfunction following TBI, with temporal variations observed across different post-injury durations. The findings underscore the importance of tailored clinical management strategies based on the duration and type of dysfunction. Further research addressing potential contributing factors is warranted to enhance understanding and management of these conditions.<\/jats:p>","DOI":"10.1007\/s10143-024-03088-3","type":"journal-article","created":{"date-parts":[[2024,11,11]],"date-time":"2024-11-11T02:01:10Z","timestamp":1731290470000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":28,"title":["Acute and chronic hypopituitarism following traumatic brain injury: a systematic review and meta-analysis"],"prefix":"10.1007","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3216-5542","authenticated-orcid":false,"given":"Ghaith S.","family":"Aljboor","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aoun","family":"Tulemat","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ali Ridha","family":"Al-Saedi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mugurel Petrinel","family":"Radoi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Corneliu","family":"Toader","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Toma Marius","family":"Papacocea","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,11]]},"reference":[{"key":"3088_CR1","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/B978-0-444-52892-6.00001-5","volume":"127","author":"M Faul","year":"2015","unstructured":"Faul M, Coronado V (2015) Epidemiology of traumatic brain injury. 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