{"title":"Enhancing the quality of reporting of orthodontic clinical research","authors":"Danchen Qin , Hong He , Yu-Kang Tu , Fang Hua","doi":"10.1053/j.sodo.2024.01.010","DOIUrl":null,"url":null,"abstract":"<div><p><span>Research reports need to provide complete, accurate, and transparent information to allow readers to easily understand and critically assess the study results. Poor reporting makes studies unable to be synthesized in systematic reviews, fail to inform clinical practice, and compromise evidence-based clinical decision making. Evidence suggested the reporting quality of </span>orthodontic clinical studies was poor, which caused a large amount of avoidable research waste. Reporting guidelines (RGs) are developed to guide and standardize the reporting of specific study types and improve their reporting quality. This article introduces the commonly used RGs in orthodontic clinical studies and illustrates the relationship between the existing RGs and their extensions. The majority of extensions are those to the CONSORT and PRISMA guidelines. The EQUATOR Network is an online library of RGs and education resources, and authors can use it to find appropriate RGs. Although a large number of RGs and extensions have been published, involving various study types, the reporting quality of orthodontic clinical studies still needs to be improved. Active strategies to strengthen the implementation of RGs are necessary to fill the gaps between RG publication and the quality improvement of studies. Other issues including selective reporting and spin, structure format of abstracts, and artificial intelligence in reporting are also discussed. Language models such as ChatGPT have largely changed scientific research and reporting in the era of artificial intelligence. Authors are strongly recommended to always be transparent in reporting and responsible for the content of their studies.</p></div>","PeriodicalId":48688,"journal":{"name":"Seminars in Orthodontics","volume":"30 1","pages":"Pages 2-9"},"PeriodicalIF":2.2000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seminars in Orthodontics","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1073874624000100","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"DENTISTRY, ORAL SURGERY & MEDICINE","Score":null,"Total":0}
引用次数: 0
Abstract
Research reports need to provide complete, accurate, and transparent information to allow readers to easily understand and critically assess the study results. Poor reporting makes studies unable to be synthesized in systematic reviews, fail to inform clinical practice, and compromise evidence-based clinical decision making. Evidence suggested the reporting quality of orthodontic clinical studies was poor, which caused a large amount of avoidable research waste. Reporting guidelines (RGs) are developed to guide and standardize the reporting of specific study types and improve their reporting quality. This article introduces the commonly used RGs in orthodontic clinical studies and illustrates the relationship between the existing RGs and their extensions. The majority of extensions are those to the CONSORT and PRISMA guidelines. The EQUATOR Network is an online library of RGs and education resources, and authors can use it to find appropriate RGs. Although a large number of RGs and extensions have been published, involving various study types, the reporting quality of orthodontic clinical studies still needs to be improved. Active strategies to strengthen the implementation of RGs are necessary to fill the gaps between RG publication and the quality improvement of studies. Other issues including selective reporting and spin, structure format of abstracts, and artificial intelligence in reporting are also discussed. Language models such as ChatGPT have largely changed scientific research and reporting in the era of artificial intelligence. Authors are strongly recommended to always be transparent in reporting and responsible for the content of their studies.
期刊介绍:
Each issue provides up-to-date, state-of-the-art information on a single topic in orthodontics. Readers are kept abreast of the latest innovations, research findings, clinical applications and clinical methods. Collection of the issues will provide invaluable reference material for present and future review.