我是娜姐 @迪娜学姐 ，一个SCI医学期刊编辑，探索用AI工具提效论文写作和发表。
我的题目是[Plasma Amino Acid Neurotransmitters and Ischemic Stroke Prognosis: A Multicenter Prospective Study]’（血浆氨基酸神经递质与缺血性中风预后：一项多中心前瞻性研究）。我给了Claude关于论文的摘要、结果部分的信息。
Paragraph 1: Summary of key findings
•Plasma glutamic acid, aspartic acid, gamma-aminobutyric acid, and glycine were significantly associated with prognosis of ischemic stroke.
•Higher glutamic acid, aspartic acid and gamma-aminobutyric acid levels were associated with increased risk of death or major disability.
•Higher glycine level was associated with decreased risk.
•The associations were linear as indicated by spline regression analyses.
•Adding the 4 plasma amino acid neurotransmitters to conventional risk factors improved risk prediction and reclassification.
Paragraph 2: Interpretation of findings
•Compare current findings on glutamic acid, aspartic acid, gamma-aminobutyric acid and glycine with previous studies.
•Note consistencies and inconsistencies.
•Explain potential reasons for discrepancies across studies.
Paragraph 3: Biological mechanisms
•Discuss potential biological mechanisms underlying the observed associations between amino acid neurotransmitters and ischemic stroke prognosis.
Paragraph 4: Clinical and public health implications
•Discuss potential clinical utility of evaluating amino acid neurotransmitter levels for ischemic stroke prognostication and management.
•Note public health implications such as needs for replication, cautions in interpretation and application.
Paragraph 5: Strengths
•Strengths:
￮Large sample size from 26 hospitals across China, enhancing generalizability
￮Prospective design limiting biases like reverse causation
￮Detailed assessment of 4 plasma amino acid neurotransmitters
￮Adjustment for important confounders including NIHSS score, eGFR, medications
￮Objective and clinically meaningful outcome measure
￮Spline regression and subgroup analyses to assess linearity and consistency
￮Risk reclassification analyses to evaluate added predictive value
Paragraph 6: Limitations and future research directions
•Limitations
￮Residual confounding cannot be ruled out
￮Findings need external validation in other populations
￮Causality cannot be established due to observational design
￮Measurement of amino acids at one timepoint only
￮Lacked data on dietary factors influencing amino acid levels
￮Did not explore neurological subtypes of ischemic stroke
￮Prognostic models need further refinement and testing
•Suggest future research to validate findings, elucidate mechanisms, improve risk prediction models incorporating amino acid neurotransmitters, etc.
Paragraph 7: Conclusions
•Provide a concise summary of major findings, strengths, limitations and implications.
•Emphasize the significance and potential impact of the study.
填什么内容呢？我们自己论文的结果和相关文献结论，或支持或相反，进一步阐述结论的合理性和意义。有人说，不是有专门找文献的AI工具吗？Perplexity也行啊。是的，你可以进一步的用这些文献工具去找支撑文献。但是，如果你想要引用的文献是最新最全面，而且都是来自Q1Q2区的高质量期刊，建议你还是用关键词到文献数据库比如WOS、scopus、pubmed来整理筛选，会更加全面。
如果你也想尝试用ChatGPT来写论文，但是，总是不得其法，它在你手里像个智障。欢迎你来学习SCI期刊编辑娜姐的课程“ChatGPT辅助论文写作到发表”，课程设计是针对论文写作的一整个工作流，每节课都有对应的提示语，用AI帮你写出top级别的论文。经过50+学员检验，好评如潮。
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ChatGPT助力论文写作：
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