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# Systematic reviews

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  1. Nature News

    A 2006 Iran trial of 40 children is said to have skewed the fluoxetine evidence base for childhood depression, with the drug's advantage vanishing once it is excluded

    Naudet, Plöderl and colleagues re-ran the 2016 and 2020 meta-analyses of fluoxetine (Prozac) for depression in children and adolescents and found that their disagreement comes down to whether one 2006 trial of 40 children in Iran is included; excluding that trial's data made fluoxetine's outsized benefit over placebo disappear, prompting the researchers to call on guideline committees to review their recommendations.

  2. JBJS Open Access

    Generative Artificial Intelligence in Hip and Knee Arthroplasty: A Systematic Review of Emerging Clinical Applications in Patient Communication and Education, Documentation, and Decision Support

    This systematic review searched PubMed and Embase (July 9, 2025) and included 23 studies to assess generative AI, mainly ChatGPT 3.5/4, in total hip and knee arthroplasty across patient communication and education (n=19), clinical documentation (n=2), and clinical decision support (n=2): blinded ratings found FAQ responses comparable to surgeon-written answers in accuracy, clarity, and completeness with better readability; consent documents showed better readability and completeness than surgeon versions; operative-report extraction reached 97.5%–100% agreement; decision support showed higher accuracy for surgical candidacy but low specificity for outcome prediction, alongside fabricated citations and limited patient trust.

  3. medRxiv

    A Large Language Model for Risk-of-Bias Assessment in Systematic Reviews of Prognosis Studies in Clinical Neurology

    This study designed a zero-shot prompted LLM pipeline as a virtual mimic of a human reviewer for the QUIPS framework and applied it to 298 articles from previously published systematic reviews of prognosis studies in neurology across three domains (epilepsy, traumatic brain injury, stroke), finding limited LLM-human agreement (weighted kappa = 0.22, 95% CI 0.12-0.33) while tentatively suggesting, based on a small sample (n=5), that it may not be inferior to human-human agreement (weighted kappa = -0.25, 95% CI -1.04-0.54), with Wilcoxon signed-rank tests statistically significant (p < 0.05) across four bias domains and overall risk scores, and rank-biserial correlations demonstrating human raters' tendency to assign higher risk scores than LLM counterparts.

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