Literature DB >> 32324798

Methodological quality of cohort study on rheumatic diseases in China: A systematic review.

Huan Zhang1,2, Guoxiang Yi1,2, Mingzhu Dai1,2, Yanping Li2, Bin Wu2.   

Abstract

OBJECTIVE: To evaluate systematically the quality of the cohort studies on rheumatic diseases in China.
METHODS: Relevant databases were searched to find cohort studies on rheumatic diseases in China, and the basic information included in the literature was extracted and analyzed. Chinese and English literature were then compared with regard to methodological quality, according to the Newcastle-Ottawa Scale (NOS).
RESULTS: In total, we included 46 cohort studies, with 19 studies published in English and 27 studies published in Chinese. With regard to the basic characteristics of the literature, 78.26% of the studies were published in the past four years; 16 studies were associated with hyperuricemia, followed by eight studies involving systemic lupus erythematosus. The sample size of the studies in Chinese was lower than that in English studies (P< 0.05). The English literature was superior to the Chinese literature in terms of informed consent, ethical review and selection of statistical analysis methods. The methodology quality of the 46 included studies showed that the English and Chinese NOS scores were 5.59 ± 1.25 and 6.06 ± 1.11, respectively, and the difference was significant (P< 0.01). The "representativeness of the exposed group", "demonstration that outcome of interest was not present at start of study", and the "adequacy of follow up of cohorts" scores were relatively low in Chinese and English studies. The score for "was follow-up long enough for outcomes to occur" item in English was higher than that in the Chinese studies; however, the "study controls for the most important factor" score for Chinese papers was better than that for the English papers.
CONCLUSION: The Chinese rheumatic disease cohort studies started late, with a small sample size and fewer types of rheumatism. The quality of Chinese studies was better than English studies, and all reports were insufficient. In particular, "selecting exposed groups", "controlling the outcomes before study implementation" and "adequacy of follow-up" needed improvement.

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Mesh:

Year:  2020        PMID: 32324798      PMCID: PMC7179908          DOI: 10.1371/journal.pone.0232020

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


1. Introduction

The cohort study is the second level of evidence in evidence-based medicine. It has more accessible data sources and lower costs than randomized controlled trials, and the results are more in line with clinical practice [1]. Its range of application has developed from health-related influencing factors to assessing the effectiveness of medical control measures [2]. Since the mid-19th century, many classic cohort studies have been carried out internationally. For example, a multicenter AIDS cohort study conducted in 1984 concluded that even if patients were seropositive for human immunodeficiency virus type 1 [HIV-1], those without AIDS would not develop Pneumocystis carinii pneumonia unless their CD4+ cells were depleted to 200 or fewer per cubic millimeter [3]. Another study, using data from 31,546 people in 40 countries, found that high-quality diets can reduce the incidence of cardiovascular events in people over 55 years of age [4]. Therefore, cohort studies play an important role in the assessment of risk factors, outcomes, and preventive measures for disease occurrence. Rheumatism is an ancient disease encompassing nearly 200 diseases in 10 categories. the discipline was founded later but grew faster than many others [5]. In recent years, its increasing incidence and prevalence have attracted the attention of researchers all over the world. Cohort studies based on etiology and pathology, to guide clinical treatment, have become commonly used in the field of rheumatology [6-8]. For example, the Framingham cohort study investigating risk factors for osteoarthritis (OA) showed no significant relationship between inflammatory markers and OA [9,10]. In order to observe the risk of gout in people consuming fructose-rich beverages, 78,906 women were followed-up for 22 years, and the results showed that fructose-rich beverages increased the incidence of gout events [11]. China is a large country with many rheumatism patients, and some cohort studies have been carried out in recent years [12]. However, until now, their research status and quality have not been reviewed and evaluated. This paper collects the literature on rheumatism cohort research conducted in China, discusses the progress of research in recent years, and evaluates the quality of research in the Chinese and English literature. The purpose of this study is to provide a reference for the improvement of future cohort studies.

2. Methods

2.1 Search strategy

The following databases were searched from their inception to January 2019. The English databases included PubMed, Web of Science, EMbase, and the Cochrane Library. The Chinese databases included the Chinese National Knowledge Infrastructure (CNKI), Wan Fang Database, the Chongqing Vip Information Database (VIP) and the Chinese Biomedical Database (SinoMed). For the English databases, the keyword searches used were “cohort studies”, “rheumatic diseases”, “autoimmune diseases” and “connective tissue diseases”. The Medical Subject vocabulary (MeSH) searches used were “rheumatoid arthritis”, “ankylosing spondylitis”, “gout” and other common rheumatic diseases. For the Chinese-language searches, the same search strategy and search terms were used. The retrieval process is shown in Fig 1.
Fig 1

Search and selection flow diagram.

A total of 97 English articles and 526 Chinese articles were retrieved. After screening and exclusion, 19 English and 27 Chinese papers were included.

Search and selection flow diagram.

A total of 97 English articles and 526 Chinese articles were retrieved. After screening and exclusion, 19 English and 27 Chinese papers were included.

2.2 Study selection

The documents retrieved were imported into the NoteExpress document management software to exclude duplicate literature. By reading the topic and abstracts of the literature, two researchers conducted a preliminary screening, and they subsequently read full text of each paper. Two researchers independently judged whether the inclusion criteria were met, and the divergences were referred to the third investigator for assistance.

2.3 Inclusion criteria

Studies that met the following criteria were selected for further analysis: the study type was a cohort study; the study participants were patients with rheumatic diseases from China; the study provided complete research data; languages were limited to Chinese or English; and the study was published in an official journal.

2.4 Exclusion criteria

Studies that met the following criteria were excluded: repeated published literature; reviews; systematic reviews; clinical control studies; randomized controlled trials; animal experiments; the full text remained unavailable after contacting the author.

2.5 Data extraction

Two reviewers (H Zhang and GX Yi) screened all titles and abstracts of the studies independently. Full texts of potentially-included studies were retrieved for further identification, according to the above criteria. A data extraction form was created, including the author, the year of publication, journal name, case collection location, sample size, disease researched, etc (Table 1). The disease was classified according to the International Classification of Diseases (10th Edition). Disagreements were resolved by consultation with other authors, and a final decision was made through discussions and consultations.
Table 1

List of basic characteristics of literature.

StudyYear of publicationDiseaseJournalCase collection locationSample sizeFundingInformed consentEthical review
Adab P et al [13]2014RARheumatology (Oxford)Guangzhou7349N/Aa
Liu Q et al [14]2015OAOsteoarthritis CartilageWuchuan1026N/AN/AN/A
Ma L et al [15]2018GoutClinical rheumatologyQingdao5693N/A
Wang Y et al [16]2013GoutRheumatology internationalShandong Province659N/A
Wu J et al [17]2018SLEBMJ openShanghai1352N/A
Wang Z et al [18]2018SLELupusBeijing260N/A
Yuan S et al [19]2013SLEThe Journal of rheumatologyGuangzhou3823N/AN/A
Zou YF et al [20]2013SLEInflammationHefei City260
Lin H et al [21]2012SLEClinical rheumatologyChengdu158N/A
Xu W et al [22]2016MyositisImmunology lettersZaozhuang32380N/AN/A
Peng JM et al [23]2016MyositisPloS oneBeijing109N/AN/AN/A
Chen D et al [24]2014MyositisClinical and experimental rheumatologyGuangzhou253N/AN/A
Tian Y et al [25]2015OPOsteoporos IntWuhan38295
Liu H et al [26]2018KBDBiological trace element researchShanxi Province1214
Fan X et al [27]2017PBCScientific reportsChengdu769N/A
Yang C et al [28]2017HUAPLoS OneLuzhou4668N/A
Cui L et al [29]2017HUAMod RheumatolTangshan101510N/A
Cao J et al [30]2017HUAInt J Environ Res Public HealthShandong Province58542
Villegas R et al [31]2010HUAMetab Syndr Relat DisordShanghai3978
Wen J et al [32]2018OAChinese Journal of Clinical HealthcareAnhui Province1904N/AN/A
Fang Y et al [33]2018RAChinese Journal of Clinical HealthcareHefei1812N/A
Zhao M et al [34]2016HUAHainan Medical JournalBeijing126N/AN/AN/A
Zhang Y et al [35]2015ASBMJ Chinese EditionShan Tou830N/A
Ji XJ et al [36]2016ASChinese Journal of RheumatologyBeijing449N/AN/AN/A
Zhou W et al [37]2018HUAChinese Journal of Health ManagementChangsha1859
Zhang CY et al [38]2014HUAChina Preventive MedicineBeijing811N/AN/AN/A
Jiang W et al [39]2018MyositisChinese Journal of RheumatologyBeijing480N/AN/A
Wen J et al [40]2018ASWorld Journal of Integrated Traditional and Western MedicineHefei399N/AN/A
Cao J et al [41]2017HUAJournal of Shandong University (Health Science)Shandong Province26006N/AN/A
Shou F et al [42]2010HUAPrevention and Treatment of Cardio Cerebral Vascular DiseaseZhejiang Province374N/AN/AN/A
Li Y et al [43]2008HUACHINESE JOURNAL OF INTERNAL MEDICINEBeijing1442N/AN/A
Gu X et al [44]2016OAChinese Journal of Joint Surgery (Electronic Version)Shanghai362N/AN/AN/A
Zhang W et al [45]2002SLECHINESE JOURNAL OF RHEUMATOLOGYShanghai71N/AN/AN/A
Li D et al [46]2017OPChinese Journal of OsteoporosisZhongshan96N/AN/A
Li J et al [47]2016RACHINA HEALTH INSURANCEZhuzhou49N/AN/A
Mu X et al [48]2010RAHEBEI MEDICAL JOURNALBeijing58N/AN/AN/A
Zhou Y et al [49]2016SLEJournal of Applied Clinical PediatricsShanghai60
Yang YF et al [50]2009SLEMEDICAL JOURNAL OF NATIONAL DEFENDING FORCES IN NORTH CHINATaiyuan79N/AN/AN/A
Zhang C [51]2017HUAWorld Journal of Complex MedicineZoucheng230N/AN/AN/A
Wu Y et al [52]2017HUAChinese Journal of GerontologySuzhou1628N/AN/A
Zha Z [53]2015HUAMedical InformationSuzhou937N/AN/AN/A
Yang Y et al [54]2014HUAChinese Journal of Difficult and Complicated CasesWuhan266N/AN/AN/A
Lao Y [55]2015HUAChinese Primary Health CareSuzhou994N/AN/AN/A
Liu X et al [56]2014HUAChinese Journal of DiabetesTangshan8603N/AN/A
Yuan YD et al [57]2017KDChinese Journal of Contemporary PediatricsXuzhou404N/AN/AN/A
Ji XJ et al [58]2018ASChinese Journal of Internal Medicine.Beijing897

aN/A: Not Applicable. RA: Rheumatoid Arthritis; SLE: Systemic Lupus Erythematosus; OP: Osteoporosis; KBD: Kashin-Beck disease; PBC: Primary biliary cirrhosis; HUA: Hyperuricemia; OA: Osteoarthritis; AS: Ankylosing spondylitis; KD: Kawasaki disease.

aN/A: Not Applicable. RA: Rheumatoid Arthritis; SLE: Systemic Lupus Erythematosus; OP: Osteoporosis; KBD: Kashin-Beck disease; PBC: Primary biliary cirrhosis; HUA: Hyperuricemia; OA: Osteoarthritis; AS: Ankylosing spondylitis; KD: Kawasaki disease.

2.6 Assessment of method quality

The study quality was evaluated according to the Newcastle–Ottawa Scale (NOS). The NOS is divided into selection (4 points), comparability (2 points) and outcome (3 points). There were eight items in three columns, and the final score was 0–9 points. The higher the score, the higher the quality. 0–4 points indicated low quality, and 5–9 points indicated high quality. Supplementary items for evaluation of methodological quality were as follows: design type of the study, calculation of sample size, informed consent and ethical review, statistical analysis methods, etc.

2.7 Statistical analysis

Statistical analysis was performed using SPSS version 23.0 (IBM Corp., Armonk, NY, USA). Data were presented as mean and standard deviation or frequency and percentage. Comparisons were conducted between the two groups. For normally distributed variables, means were compared using the t-test and nonparametric variables were analyzed using Pearson’s chi-squared test. Two-tailed P values were used, with a P < 0.05 considered statistically significant.

3. Results

3.1 Search results

A total of 573 studies were retrieved. According to the aforementioned screening criteria and double assessment by two reviewers, we excluded 151 duplicate documents by reading topics and abstracts, removed 330 documents that did not meet the inclusion criteria, ruled out 46 non-conforming documents by reading the full text, and finally incorporated 46 articles, including 19 English articles [13-31] and 27 Chinese articles [32-58]. The specific search process is illustrated in Fig 1.

3.2 Basic characteristics of the literature

3.2.1 Disease classification

A total of 11 diseases were included in the 46 articles, and hyperuricemia (16 articles) was the most studied, followed by systemic lupus erythematosus (8 articles). The specific disease distribution is shown in Fig 2.
Fig 2

Distribution of disease types.

Rheumatic disease cohort studies involve 11 disease types. The abscissa represents the quantity; the ordinate represents the disease type.

Distribution of disease types.

Rheumatic disease cohort studies involve 11 disease types. The abscissa represents the quantity; the ordinate represents the disease type.

3.2.2 Year of publication

The earliest research reports were published in 2002, and 36 studies have been reported in the last four years. The distribution of specific publication years is shown in Fig 3A.
Fig 3

Publication year and distribution of sample size.

3a. Publication year of Cohort study literature on rheumatic diseases. The abscissa represents the year; the ordinate represents the quantity. 3b. Distribution of sample size. The abscissa represents the number of samples; the ordinate represents the number of studies.

Publication year and distribution of sample size.

3a. Publication year of Cohort study literature on rheumatic diseases. The abscissa represents the year; the ordinate represents the quantity. 3b. Distribution of sample size. The abscissa represents the number of samples; the ordinate represents the number of studies.

3.2.3 Study types

Sixteen prospective cohort studies were found [14,20,26,29,30,36,42,45-47,51-56], which included 11 studies in Chinese and five studies in English. Moreover, 15 retrospective cohort studies were found [15,17-19,21-24,27,28,32,35,44,50,57], including 10 in English and five in Chinese. In addition, 14 papers did not describe the type of study and could not be judged [13,16,25,31,33,34,37-41,43,48,58], and there was only one ambispective cohort study [49]. The distribution of specific research types is shown in Table 2. It is worth noting that sample size calculation was mentioned in only one literature [40].
Table 2

The distribution of literature types in the cohort studies.

Study TypesEnglishChinese
NumberPercentNumberPercent
Prospective cohort study526.321140.74
Retrospective cohort study1052.63518.52
Ambispective cohort studya00.0013.70
Could not be judgedb421.051037.04
Total19100.0027100.00

aBased on a retrospective cohort study, prospective observations continue for a period of time, which is a model that combines prospective cohort studies with retrospective cohort studies.

bThe researches did not state the study type clearly and that could not be judged from the study.

aBased on a retrospective cohort study, prospective observations continue for a period of time, which is a model that combines prospective cohort studies with retrospective cohort studies. bThe researches did not state the study type clearly and that could not be judged from the study.

3.2.4 Sample size

A total of 313,564 subjects were included in the 46 studies, with a minimum of 49 cases and a maximum of 26,006 cases in Chinese, a minimum of 109 cases and a maximum of 101,510 cases in English. The sample size was less than 500 cases in 26.32% and 55.56% of English and Chinese studies, respectively. This difference was statistically significant (P< 0.05), and the specific sample size distribution is shown in Fig 3B.

3.2.5 Informed consent and ethical review

The informed consent and ethical review data are shown in Table 1. Informed consent reached 78.95% in English, but only 29.63% in Chinese. The difference between the two groups was obvious (P< 0.01). A total of 84.21% of English literature studies conducted ethical reviews, while only 14.81% conducted such reviews in the Chinese literature. As a result, statistically significant differences were found (P< 0.01).

3.2.6 Statistical methods

In this study, 73.68% of English studies and 55.56% of Chinese studies analyzed the baseline data, and only one reported data loss [35]. Three English and nine Chinese studies used only single-factor statistical analysis methods, such as single-factor variance analysis, t-tests, χ2 test, non-parametric testing, etc. One Chinese and one English study used Cox regression analyses to analyze effects over time; 15 English and 17 Chinese studies used logistic regression and Cox regression analysis to correct for the effects of confounding factors. The distribution of statistical analysis methods in Chinese and English studies is shown in Fig 4.
Fig 4

Analysis methods.

4a. Statistical analysis methods in English literature. 4b. Statistical analysis methods in Chinese literature.

Analysis methods.

4a. Statistical analysis methods in English literature. 4b. Statistical analysis methods in Chinese literature.

3.3 NOS methodological quality evaluation

The NOS [59] was used to evaluate the 46 articles included in the study. First, both Chinese and English studies had low scores for the “representativeness of the exposed cohort”. Most of the studies were based on a specific group of people, such as a group of retired employees, medical examination staff of a company, and so on. Second, the English papers scored worse than the Chinese papers on the “comparability between groups” entries, because they did not control for important factors and confounding factors that could affect the results. Finally, the follow-up was described in only 13 English articles and eight Chinese articles. The Chinese literature scored lower than the English literature for follow-up time, and the follow-up time was generally insufficient. The scores for the “sufficient follow-up” entries in both groups were low. The specific evaluation scores are shown in Table 3.
Table 3

Quality assessment of cohort studies using the Newcastle–Ottawa Scale.

ItemsEnglishChineseχ2P
NumberPercentNumberPercent
Selection
1) Representativeness of the exposed group631.58725.930.1760.675
Selection of the non exposed cohort191002696.311.4090.001a
Ascertainment of exposure1684.212385.1901.000
Demonstration that outcome of interest was not present at start of study736.841244.440.2660.606
Comparability
Comparability of cohorts on the basis of the design or analysis
a) Study controls for the most important factor1263.162592.594.4120.036a
b) Study controls for any additional factor1263.162177.781.1760.278
Outcome
1) Assessment of outcome1473.682592.591.7990.180
Was follow-up long enough for outcomes to occur1368.42829.636.7640.009a
Adequacy of follow up of cohorts736.84933.330.0610.805

aIt represents statistical significance (P< 0.05)

aIt represents statistical significance (P< 0.05) According to the NOS evaluation criteria, the average score for the English literature was 5.59 ± 1.25, and the average score for the Chinese literature was 6.06 ± 1.11. The quality of the two groups was good, and the scores were mainly concentrated between 4–7. The average score of Chinese studies was higher than that of English studies. The difference between the groups was significant (P< 0.01). Table 4 gives the specific scores.
Table 4

The scores of cohort studies on the Newcastle–Ottawa items.

NOSEnglishChinese
ScoreNumberPercentNumberPercent
315.2600.00
4210.53622.22
5736.84518.52
6421.05622.22
7421.05933.33
815.2613.70

4. Discussion

An international cohort study on rheumatism is ongoing, and many large-sample multi-center clinical studies have been carried out. For example, the Framingham cohort study in the United States on the risk factors for osteoarthritis found that meniscal injury in the middle-aged and elderly populations increased with age and had no parallel relationship with clinical symptoms [60]. A retrospective cohort of 37,338 twins across Denmark showed that genes play only a minor role in the pathogenesis of rheumatoid arthritis [61]. Scholars at the University of St. Petersburg in Russia followed 498 women with systemic lupus erythematosus for 14 years. The research results suggested that early death was most common in those with active lupus or concurrent infections, and late death was more common in patients with atherosclerotic coronary heart disease or acute myocardial infarction [62]. It is clear that cohort studies have played an important role in the prevention and treatment of rheumatism. According to the analysis of the basic characteristics of the 46 studies evaluated herein, a total of 11 diseases were studied in all cohort studies. In the past four years, 78.26% the literature has been published, indicating that cohort research on rheumatism in China developed late, and the degree of emphasis has risen in recent years. Most reports described retrospective cohort studies, and 14 reports did not allow us to judge the type of research. Only one bidirectional cohort study was published, which may be related to its difficulty in implementation and high cost. The average sample size of studies in the Chinese literature was smaller than that of those in the English literature. Six Chinese studies had fewer than 100 participants. With small sample sizes, studies show shortcomings of under representation [63,64], leading to a low generalizability of Chinese cohort research. As can be learned from the statistical results, the large-scale Chinese reports with more than 500 cases accounted for 44.44%, while this percentage was 73.68% in the English reports. Of the 46 studies, only one reported an estimate of the sample size. With regard to informed consent and ethical review, the English literature was significantly better than the Chinese literature. However, 26.32% of English reports and 44.44% of Chinese reports did not describe baseline characteristics, which will affect the interpretation of the results [65].Nine of the Chinese studies used only univariate analyses to compare differences between groups, and because there are no other factors controlled, this may result in bias in the results. In summary, the Chinese rheumatism cohort study developed late, involves fewer disease types, shorter follow-up time, and lack of multi-center large sample studies, which limit the theoretical and applied value of rheumatism cohort research in China. Therefore, it is particularly important to improve the quantity and quality of rheumatism cohort studies [66]. The NOS scale is a commonly used method for the evaluation of cohort studies [67]. In this paper, the 46 documents retrieved were evaluated using the NOS. First, the results show that the Chinese score was higher than the English score, although the overall scores were mainly between 4 and 7 points. This may have been related to the exclusion of non-standardized and low-quality papers during the process of selecting the literature, resulting in a higher overall score. Second, both the Chinese and English literature scored higher on items such as “selection of the non-exposed cohort”, “ascertainment of exposure”, and “assessment of outcome”, but the score for “representation of the exposed group” was lower. The main reason for this is that the exposed group was generally a specific group, such as outpatients, inpatients or a group of employees, and cannot represent the entire population. In addition, both Chinese and English studies scored lower on “demonstration that outcome of interest was not present at start of study”, because the paper did not explicitly explain or did not mention the relevant information. Third, 17 Chinese and nine English reports did not describe follow-up, and did not score on the item “whether the group was adequately followed”. Finally, the Chinese studies were inferior to the English studies on “was follow-up long enough for outcomes to occur”, because the Chinese studies did not specify or anticipate the required follow-up time and we were unable to determine whether the follow-up time was sufficient. However, Chinese studies scored better than English studies on the “select the most important factor” entry. The Chinese studies not only controlled important factors such as time, but also controlled other confounding factors such as age, gender, and duration of disease. Obviously, both the Chinese and English reports have different advantages and disadvantages, and it is necessary that researchers should learn from each other. Although rheumatism cohort studies in China have shown a great deal of progress, there are still many areas that need improvement. For instance, researchers should try to avoid the choice of specific populations for exposure groups. Attention should be paid as to “Demonstration that outcome of interest was not present at start of study”, so as not to affect the observation of the results. In addition, the follow-up time should be based on the time of occurrence of the observations, to estimate a sufficiently long follow-up time, and the follow-up process should be standardized and detailed. In addition, we should also pay attention to more rheumatic diseases that have not been studied, conduct multi-center large sample cohort studies as much as possible, improve informed consent and ethical review, and select appropriate statistical methods. The above methods can provide information for future rheumatism cohort studies and improve the standardization and quality of cohort research in China.

5. Conclusion

In this paper, we reviewed the progress and evaluated the quality of cohort studies on rheumatic diseases in China. On the one hand, the results showed that the Chinese rheumatic disease cohort studies developed late, with small sample sizes and fewer types of rheumatism. On the other hand, NOS quality assessment results show that the quality of Chinese reports is better than English reports. Some shortcomings were also discovered. In particular, “selecting exposed groups”, “controlling the outcomes before study implementation” and “following up groups” need to be improved. Therefore, well-designed multicenter and large-scale cohort studies are needed to improve clinical studies of rheumatic diseases in China. (DOC) Click here for additional data file. (DOC) Click here for additional data file. 6 Mar 2020 PONE-D-19-24922 Methodological Quality of cohort study on rheumatic diseases in China PLOS ONE Dear Prof Wu, Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process. The manuscript needs English editing by a native English speaker to improve the quality of language. We would appreciate receiving your revised manuscript by Apr 19 2020 11:59PM. When you are ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. To enhance the reproducibility of your results, we recommend that if applicable you deposit your laboratory protocols in protocols.io, where a protocol can be assigned its own identifier (DOI) such that it can be cited independently in the future. 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Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Clinical research started late in China, and has been widely valued in recent years. However, there is still a certain gap with international standards in protocol design, data collection, data analysis and research report of the randomized controlled study or cohort study. In this paper, the author makes a systematic analysis of the cohort study of rheumatic diseases, and puts forward better suggestions for the future cohort study of rheumatic diseases, which basically achieve the research purpose of this paper. In this paper, the author used standard evidence-based medicine research methods to retrieve, screen and extract the literature of rheumatic disease-related cohort studies in China, and evaluated the quality of the literature with NOS scale. On this basis, the author described the data profile of the cohort study, and compared the quality of literature through data analysis. The data provided in this paper is sufficient, the statistical method is appropriate and the conclusion is reliable. According to the evaluation of English literature and Chinese literature respectively, the NOS scores show similar conclusions in " adequacy of follow up of cohorts " and are consistent with the clinical research practice in China. In general, this paper reflects the current literature level of rheumatic disease-related cohort studies in China, and puts forward a number of reasonable suggestions, which basically achieve the purpose of the author's research. Reviewer #2: This study collected the literature on rheumatism cohort researches conducted in China, and provided very important information about research quality comparision between Chinese and English publications. This is very good, especially in these days there are voices encouraging to publish paper in China Journal. Some minor grammatical errors need to be revised before publication. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: Yes: YaFeng Wang Reviewer #2: Yes: Runyue Huang [NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files to be viewed.] While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email us at figures@plos.org. Please note that Supporting Information files do not need this step. 24 Mar 2020 Followings are the detailed responses for the comments. The blue words are comments and the black are reply. Major comments 1. When submitting your revision, we need you to address these additional requirements. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at http://www.journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and http://www.journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors _affiliations.pdf Response: We have browsed the website and checked our manuscript to ensure it meets PLOS ONE's style requirements. 2. During our internal evaluation of your manuscript, we noticed several typos. For instances, line 37: Englishstudies, line 38: selectionofstatistical, line 176:Table 2.t. Please note that PLOS ONE does not copyedit accepted manuscripts, so please ensure the language in submitted articles is clear, correct, and unambiguous. Response: Sorry, this is our carelessness. Emendations: We have corrected them one by one. line 27: the statement of “andanalyzed” was corrected as “and analyzed”; line 34: the statement of “Englishstudies” was corrected as “English studies”; line 35: the statement of “selectionofstatistical” was corrected as “selection of statistical”; line 60: the statement of “pneumoniaunless” was corrected as “pneumonia unless”; line 162: the statement of “Table 2.t” was corrected as “Table 2. It”; line 234: the statement of “underrepresentation” was corrected as “under representation”. line 240: the statement of “literature.However” was corrected as “literature. However”. line 245: the statement of “developedlate” was corrected as “developed late”. line 253: the statement of “points.This” was corrected as “points. This”. line 254: the statement of “papersduring” was corrected as “papers during”. 3. Please include captions for your Supporting Information files at the end of your manuscript, and update any in-text citations to match accordingly. Please see our Supporting Information guidelines for more information: http://journals.plos.org/plosone/s/supporting- information. Response: All data and information have been presented in the manuscript, without additional information to supplement. 4. Please confirm that you have included all items recommended in the PRISMA checklist including identifying the study as a meta-analysis or systematic review in the title. Response: We confirmed that we have included all items recommended in the PRISMA checklist and add “a systematic review” in the title. 5. The manuscript needs English editing by a native English speaker to improve the quality of language. Response: Ok! To improve English expression, we invited International Science Editing to polish and edit this paper. Emendations: The corrections in the paper are as following: We have rewritten this part according to the requirements of the magazine. The comment symbol for the author's name was changed and Current Address was added. In addition, the information format of corresponding author has been changed. We have fixed the font format for headings at all levels. We upload our figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool to ensure that figures meet PLOS requirements. Besides, the titles, legends, comment marks of the pictures and tables were changed as required. All references are supplemented as much as possible with doi and PMID, and Article 59 references have been updated. We corrected three sentences. Line 46: the sentence “The quality of the research was generally similar, and all reports were insufficient, in both the English and Chinese literature.” was corrected as “The quality of Chinese studies was better than English studies, and all reports were insufficient.” Line 213: the sentence “A retrospective cohort of 37,338 twins across Denmark showed that genes play only a minor role in the pathogenesis of rheumatoid arthritis” was corrected as “the Framingham cohort study in the United States on the risk factors for osteoarthritis found that meniscal injury in the middle-aged and elderly populations increased with age and had no parallel relationship with clinical symptoms.” Line 291: the sentence “On the other hand, the results of the NOS quality evaluation suggest that the quality of the study is similar in Chinese and English reports.” was corrected as “On the other hand, NOS quality assessment results show that the quality of Chinese reports is better than English reports.” Some changes that do not affect the meaning of the content are not listed, but they are marked in red in the article. Submitted filename: Response to Reviewers.docx Click here for additional data file. 7 Apr 2020 Methodological Quality of cohort study on rheumatic diseases in China:  A Systematic Review PONE-D-19-24922R1 Dear Dr. Wu, We are pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it complies with all outstanding technical requirements. Within one week, you will receive an e-mail containing information on the amendments required prior to publication. When all required modifications have been addressed, you will receive a formal acceptance letter and your manuscript will proceed to our production department and be scheduled for publication. Shortly after the formal acceptance letter is sent, an invoice for payment will follow. To ensure an efficient production and billing process, please log into Editorial Manager at https://www.editorialmanager.com/pone/, click the "Update My Information" link at the top of the page, and update your user information. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, you must inform our press team as soon as possible and no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. With kind regards, Hua Zhou, Ph.D. Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: All comments have been addressed ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented. Reviewer #1: Yes Reviewer #2: Yes ********** 3. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: Yes Reviewer #2: Yes ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: Same as the last recommendation, I think this paper meets the standards for publishing in PLOS ONE. In this paper, the researchers used standard evidence-based medicine research methods to retrieve, screen and extract the literature of rheumatic disease-related cohort studies in China, and evaluated the quality of the literature with NOS scale. On this basis, the data profile of queue research is formed by data description, and the quality of literature is compared by data analysis. The data provided in this paper is sufficient, the statistical method is appropriate. Whether published in English or in Chinese, the relevant NOS scores show similar conclusions in " adequacy of follow up of cohorts " and are consistent with the clinical research practice in China. Reviewer #2: This is a good literature study to compare the quality between Chinese and English papers about Rheumatic diseases cohort. As the reasons addressed above, I suggest to accept this research article. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: Yes: Runyue Huang 10 Apr 2020 PONE-D-19-24922R1 Methodological Quality of cohort study on rheumatic diseases in China:  A Systematic Review Dear Dr. Wu: I am pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please notify them about your upcoming paper at this point, to enable them to help maximize its impact. If they will be preparing press materials for this manuscript, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. For any other questions or concerns, please email plosone@plos.org. Thank you for submitting your work to PLOS ONE. With kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Hua Zhou Academic Editor PLOS ONE
  43 in total

1.  Merging and emerging cohorts: necessary but not sufficient.

Authors:  Francis S Collins; Teri A Manolio
Journal:  Nature       Date:  2007-01-18       Impact factor: 49.962

2.  Clinical characteristics associated with subcutaneous tophi formation in Chinese gout patients: a retrospective study.

Authors:  Lidan Ma; Ruixia Sun; Zhaotong Jia; Yaowu Zou; Ying Xin; Xiaoyu Cheng; Tian Liu; Lingling Cui; Zhen Liu; Xinjiang Wu; Changgui Li
Journal:  Clin Rheumatol       Date:  2018-01-22       Impact factor: 2.980

3.  Risk factors for gout developed from hyperuricemia in China: a five-year prospective cohort study.

Authors:  Yangang Wang; Shengli Yan; Changgui Li; Shihua Zhao; Jing Lv; Fang Wang; Dongmei Meng; Lin Han; Yunlong Wang; Zhimin Miao
Journal:  Rheumatol Int       Date:  2012-04-29       Impact factor: 2.631

Review 4.  Systematic review of rheumatic disease epidemiology in the indigenous populations of Canada, the United States, Australia, and New Zealand.

Authors:  Cairistin McDougall; Kelle Hurd; Cheryl Barnabe
Journal:  Semin Arthritis Rheum       Date:  2016-11-01       Impact factor: 5.532

5.  Relationship between healthy diet and risk of cardiovascular disease among patients on drug therapies for secondary prevention: a prospective cohort study of 31 546 high-risk individuals from 40 countries.

Authors:  Mahshid Dehghan; Andrew Mente; Koon K Teo; Peggy Gao; Peter Sleight; Gilles Dagenais; Alvaro Avezum; Jeffrey L Probstfield; Tony Dans; Salim Yusuf
Journal:  Circulation       Date:  2012-12-04       Impact factor: 29.690

6.  [The association between hyperuricemia and prevalence of carotid plaque].

Authors:  Yan Li; Dong Zhao; Jing Liu; Zhi-an Li; Qiang Yong; Wei Wang
Journal:  Zhonghua Nei Ke Za Zhi       Date:  2008-11

Review 7.  How to investigate and adjust for selection bias in cohort studies.

Authors:  Ellen A Nohr; Zeyan Liew
Journal:  Acta Obstet Gynecol Scand       Date:  2018-03-05       Impact factor: 3.636

8.  Quality assessment of observational studies in a drug-safety systematic review, comparison of two tools: the Newcastle-Ottawa Scale and the RTI item bank.

Authors:  Andrea V Margulis; Manel Pladevall; Nuria Riera-Guardia; Cristina Varas-Lorenzo; Lorna Hazell; Nancy D Berkman; Meera Viswanathan; Susana Perez-Gutthann
Journal:  Clin Epidemiol       Date:  2014-10-10       Impact factor: 4.790

9.  Dermatomyositis and Polymyositis in the Intensive Care Unit: A Single-Center Retrospective Cohort Study of 102 Patients.

Authors:  Jin-Min Peng; Bin Du; Qian Wang; Li Weng; Xiao-Yun Hu; Chan-Yuan Wu; Yan Shi
Journal:  PLoS One       Date:  2016-04-26       Impact factor: 3.240

10.  Association between the hyperuricemia and nonalcoholic fatty liver disease risk in a Chinese population: A retrospective cohort study.

Authors:  Chao Yang; Shujuan Yang; Weiwei Xu; Junhui Zhang; Wenguang Fu; Chunhong Feng
Journal:  PLoS One       Date:  2017-05-16       Impact factor: 3.240

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