众文网1.一篇成功的meta分析论文有哪些良好的基础构建
谈谈我在科研文案这条路上（帮很多人写过）总结出来的一点心得经验：
一：选题
一个好的选题就成功了一半。选题大小决定了工作量大小，选题的争议性、新颖性、临床实用性决定了题目的价值，也决定了以后文章投稿的难易程度。
二：文献检索
检索一般强调查准率与查全率。两者矛盾，但meta分析要求查全要高，所以检索制定要合适。既不能让初筛文章太多，工作量太大，也不能遗漏重要文献。
三：数据提取
两个平行进行，尽量不进行讨论，等数据提取完后，由第三方确认或讨论解决。
四：数据处理
目前用的较多软件：STATA,REVMAN， 以及诊断性meta的meta-disc。
五：文章写作
严格按照相应的指南与手册进行。如RCT meta的PRISM，观察性研究的MOOSE等。
2.如何撰写高质量的Meta分析论文
只有确定好了主题。
才好动笔。还有人说，“确定一个好的主题，等于完成论文工作的一半” 。
因此，确定论文主题是撰写论文的第一要务。 ，再到现在的“以人为本”的过程。
现在，你写文章讲教学观，就要讲以人为本，以学生为本，千万不要讲以知识为本位。二是角度要新。
就是说，论文选题的角度要别具一格。“一树梅花万首诗”，“横看成岭侧成峰，远近高低各不同” ，讲的就是观察事物的新视角。
选题同样有个角度问题、找切入点的问题。同样的问题，同样的材料，不同人来选就有不同的感受、不同的主题。
3.如何撰写高质量的Meta分析论文
只有确定好了主题。
才好动笔。还有人说，“确定一个好的主题，等于完成论文工作的一半” 。
因此，确定论文主题是撰写论文的第一要务。 ，再到现在的“以人为本”的过程。
现在，你写文章讲教学观，就要讲以人为本，以学生为本，千万不要讲以知识为本位。二是角度要新。
就是说，论文选题的角度要别具一格。“一树梅花万首诗”，“横看成岭侧成峰，远近高低各不同” ，讲的就是观察事物的新视角。
选题同样有个角度问题、找切入点的问题。同样的问题，同样的材料，不同人来选就有不同的感受、不同的主题。
4.meta 分析的主要步骤有哪些
1 重大意义
通常情况下有较重大意义的临床案例问题才合适作meta分析。做Meta分析在保证质量的情况下最少需要两三个月的时间。如果分析一开始的选题就是错误的，那不但会浪费时间，发表成功的机率也不大。
2 具有争议
相较于通常问题，有争议存在的问题更合适做meta分析。通过汇总对比数个研究结果，获得更可靠的结论。具有争议性的问题可以通过文献检索或请教该领域专家而得之。
3 题材创新
想保证题材的创新，就要选还没有人做过的方面。可以通过文献检索了解国内外哪方面meta分析还没有人做，如果有人做了是不是质量偏低？
4 问题与结论
问题表述清楚，结论明确。
5 有明确的效应指标
对于危险因素，可以以OR/RR值为效应指标，如肿瘤病治疗，XX年生存率为效应指标等。
6 理想的原始论文
一个理想的原始论文，就会使meta分析成功一半。
例：研究危险因素的就应当是病例对照研究和队列研究；需提供必要的信息。
例：研究危险因素的就要能够提取出四格表资料；数目也不能太少。
否则达不到汇总的效果，如果数目太多，当然没有什么不好，而且结果会更可靠，只是研究所需时间要增加而已。还有质量要高，设计要科学。
7 选题合适
纳入研究的文献太多，而且问题也不明确，研究难以完成。
缺乏推广应用的代表性，而且纳入研究的文献也太少，达不到汇总的效果。
通常纳入研究的文献以10至30篇比较合适做meta分析。
5.meta分析论文所用文献的评分标准有哪些阿
Introduction 1 State the marker examined, the study objectives, and any prespecified hypotheses.Materials and methodsPatients2 Describe the characteristics (e.g. disease stage or comorbidities) of the study patients, including their source and inclusion and exclusion criteria. 3 Describe treatments received and how chosen (e.g. randomized or rule-based). Specimen characteristics4 Describe type of biological material used (including control samples) and methods of preservation and storage.Assay methods5 Specify the assay method used and provide (or reference) a detailed protocol, including specific reagents or kits used, quality control procedures, reproducibility assessments, quantitation methods, and scoring and reporting protocols. Specify whether and how assays were performed blinded to the study endpoint.Study design6 State the method of case selection, including whether prospective or retrospective and whether stratification or matching (e.g. by stage of disease or age) was used. Specify the time period from which cases were taken, the end of the follow-up period, and the median follow-up time. 7 Precisely define all clinical endpoints examined. 8 List all candidate variables initially examined or considered for inclusion in models. 9 Give rationale for sample size; if the study was designed to detect a specified effect size, give the target power and effect size. Statistical analysis methods10 Specify all statistical methods, including details of any variable selection procedures and other model-building issues, how model assumptions were verified, and how missing data were handled. 11 Clarify how marker values were handled in the analyses; if relevant, describe methods used for cutpoint determination.ResultsData 12 Describe the flow of patients through the study, including the number of patients included in each stage of the analysis (a diagram may be helpful) and reasons for dropout. Specifically, both overall and for each subgroup extensively examined report the numbers of patients and the number of events.13 Report distributions of basic demographic characteristics (at least age and sex), standard (disease-specific) prognostic variables, and tumor marker, including numbers of missing values. Analysis and presentation 14 Show the relation of the marker to standard prognostic variables.15 Present univariate analyses showing the relation between the marker and outcome, with the estimated effect (e.g. hazard ratio and survival probability). Preferably provide similar analyses for all other variables being analyzed. For the effect of a tumor marker on a time-to-event outcome, a Kaplan–Meier plot is recommended. 16 For key multivariable analyses, report estimated effects (e.g. hazard ratio) with confidence intervals for the marker and, at least for the final model, all other variables in the model. 17 Among reported results, provide estimated effects with confidence intervals from an analysis in which the marker and standard prognostic variables are included, regardless of their statistical significance. 18 If done, report results of further investigations, such as checking assumptions, sensitivity analyses, and internal validation.Discussion19 Interpret the results in the context of the prespecified hypotheses and other relevant studies; include a discussion of limitations of the study. 20 Discuss implications for future research and clinical value.。
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