1, format difference
(1) General writing format of medical papers: title of the paper; Author's signature, work unit and zip code; Abstract (objective, method, result and conclusion); Keywords; Text (data and methods, results and conclusions) references.
(2) Medical papers: including title, author's name, author's unit, location and postcode, Chinese abstract, English abstract, keywords, preface (introduction), data (materials), methods, results, discussion (experience) and other contents that meet the requirements of the content of the question.
2. Characteristics and differences
(1) medical papers should be innovative, scientific and accurate, academic or theoretical, normative, logical and readable.
(2) Medical treatises are the basic materials (original materials) mastered by authors. After scientific and rigorous sorting, processing, analysis and argumentation, arguments are drawn and standardized written works are formed. Medical works should be disposable documents. The conclusion expressed is clear and credible, and the quality and academic value of the paper are high.
Preliminary preparation for writing medical papers
1, topic selection and data collection
(1) The selection and evaluation of medical literature is not a simple listing and combination of literature, but a brand-new creation. The topic of summary must be based on objective needs and own advantages. The topic should be novel, and the knowledge that has made rapid progress and has not been popularized, the accumulated original reports and the new topics with different opinions are generally professional topics that you are familiar with.
(2) Data collection mainly adopts two methods: usual accumulation and surprise collection. Usually, accumulation is what people remember when reading documents on weekdays. It is extensive, scattered and fragmentary, but it means "confluence into a river"; Assault collection is to search for information in a short time after selecting a topic, which is more specific and targeted.
2. Data collation
Data collation uses logical and statistical methods to screen, identify, classify and summarize widely collected data. By reading the title, abstract, browsing the title, author, publishing unit and appendix literature, we can identify the relevance and reliability of the literature materials and the topics selected in this review, so as to determine the materials with practical significance.
The purpose of classification is to make the data content unitized, which can be divided step by step from large to small. The significance of induction is to systematize the data content and produce preliminary judgments, which can be counted separately according to different situations such as time sequence and numerical attributes.