Peer Review History
| Original SubmissionMay 18, 2021 |
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PONE-D-21-16397 Epidemiological evidence relating risk factors to Chronic Obstructive Pulmonary Disease in China: A systematic review and meta-analysis. PLOS ONE Dear Dr. Wenya Yu, 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. Please submit your revised manuscript by December 5, 2021. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're 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. Please include the following items when submitting your revised manuscript:
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Kind regards, Surasak Saokaew, PharmD, PhD, BPHCP, FACP Academic Editor PLOS ONE Journal Requirements: When submitting your revision, we need you to address these additional requirements. 1. 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 https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and 2. Please confirm that you have included all items recommended in the PRISMA checklist including: - the full electronic search strategy used to identify studies with all search terms and limits for at least one database. - a Supplemental file of the results of the individual components of the quality assessment, not just the overall score, for each study included. - See https://journals.plos.org/plosmedicine/article?id=10.1371/journal.pmed.1000100#pmed-1000100-t003 for guidance on reporting. 3. In your Data Availability statement, you have not specified where the minimal data set underlying the results described in your manuscript can be found. PLOS defines a study's minimal data set as the underlying data used to reach the conclusions drawn in the manuscript and any additional data required to replicate the reported study findings in their entirety. All PLOS journals require that the minimal data set be made fully available. For more information about our data policy, please see http://journals.plos.org/plosone/s/data-availability. Upon re-submitting your revised manuscript, please upload your study’s minimal underlying data set as either Supporting Information files or to a stable, public repository and include the relevant URLs, DOIs, or accession numbers within your revised cover letter. For a list of acceptable repositories, please see http://journals.plos.org/plosone/s/data-availability#loc-recommended-repositories. Any potentially identifying patient information must be fully anonymized. Important: If there are ethical or legal restrictions to sharing your data publicly, please explain these restrictions in detail. Please see our guidelines for more information on what we consider unacceptable restrictions to publicly sharing data: http://journals.plos.org/plosone/s/data-availability#loc-unacceptable-data-access-restrictions. Note that it is not acceptable for the authors to be the sole named individuals responsible for ensuring data access. We will update your Data Availability statement to reflect the information you provide in your cover letter. 4. Please upload a new copy of Figures 1,2,3 and 4 as the detail is not clear. Please follow the link for more information: " ext-link-type="uri" xlink:type="simple">https://blogs.plos.org/plos/2019/06/looking-good-tips-for-creating-your-plos-figures-graphics/" " ext-link-type="uri" xlink:type="simple">https://blogs.plos.org/plos/2019/06/looking-good-tips-for-creating-your-plos-figures-graphics/" [Note: HTML markup is below. Please do not edit.] Reviewers' comments: Reviewer's Responses to Questions Comments to the Author 1. 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: Partly Reviewer #2: Partly Reviewer #3: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously? Reviewer #1: No Reviewer #2: Yes Reviewer #3: 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: No Reviewer #2: Yes Reviewer #3: 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: No Reviewer #2: Yes Reviewer #3: 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: Review comments In this study, the authors explored epidemiological evidence regarding risk factors for chronic obstructive pulmonary disease in the Chinese population using systematic review and meta-analytic methods. Although the titles and the research question were interesting, several serious methodologic concerns must be addressed before being re-considered for publication. I suggest that this manuscript undergo a major revision. Introduction • The structure of the introduction section should be re-organized. It is still not clear to me why this meta-analysis should be conducted. More detail on the study rationale should be added. Suppose the authors were to conduct a study to explore COPD risk factors specifically for the Chinese population. In that case, there should be a solid theoretical background of why there is a good reason to believe that COPD risk factors in the general population should be different from the Chinese population. Methods � It is questionable whether restricting comprehensive literature searches to only English biomedical databases was adequate for a rather specific question for a specific population. Shouldn’t large, high-quality studies reported in Chinese be included? � A searching strategy (i.e., keywords used, number of records identified for each keyword) for each database should be provided in a supplementary appendix. � The study selection criteria were unclear and subjective. Please clarify all of the criteria and make it more objective. For example, how do you define a strictly controlled research method?, how do you define when the study population is clearly defined?, how do you define when the case diagnosis is clear? Etc. � Please change the terms “relative risk” to “risk ratio”. � “Literature review type articles” should not be stated in the exclusion criteria as the inclusion criteria had already stated that only published case-control, cohort, or cross-sectional studies would be included. � I am not quite sure that research with inaccurate design methods, low reliability, or poor quality should be excluded. I believe the idea of performing a systematic review was to comprehensive include all relevant studies possible. Exclusion of studies with poor methodological design might give rise to publication bias. Including these studies within this systematic review and performing a subgroup or sensitivity analyses to exclude these problematic studies might be a good alternative way. � Details on who perform the screening, searching, and selection of records should be included within the methods section. � In the data extraction section, “other basic information” should be further clarified. Also, within this section, potential factors that the authors intended to explore should be pre-specified. � In the statistical analyses section, pooling methods should be specified. The authors should pre-specified in detail when to perform fixed effects pooling or random effects pooling. � Concerning I-squared statistics, the authors should specify the cut-off used for significant heterogeneity (and reference should be provided). � Again, I’m still not convinced that only studies with moderate-to-high quality should be included in this meta-analysis. I believe that this would lead to publication bias. Results � The authors stated in the results section that “257 papers were eliminated due to incomplete data, no adjustment for confounding factors, or results that were not significant.” However, these elimination criteria were not specified within the methods section. � Again, I’m not convinced that excluding studies with insignificant results is a good approach for conducting systematic review. � The sample size was reported as number of COPD cases, or the number of total people included? This should be clarified or separately reported. � It is not clear how the authors arrange the sequence of the included studies on Table 1. I suggest that the authors stratify this table by study design and arrange the studies within each category by year of publication. � Details on how the authors define considerable heterogeneity should be stated in the methods section, not in the results section. � Table 2, Table 3, and Figure 2 should be combined. � In Figure 2, not all significant predictors were included. It was unclear why the authors chose only some predictors to be presented in this figure. � In Table 2 and Table 4, “=” should be changed to “≥”. � Table 4 should be included as supplementary material. � In the results section, the authors did not provide any numerical, tables, figures for subgroup analyses. � Overall, the results section should be re-written. Essential data should be presented. Conclusions • The study conclusion is wrong. This meta-analysis did not show that reducing the exposure to risk factors would prevent or reduce the incidence of COPD. This meta-analysis only explores potential risk factors for COPD in the Chinese population. Figures • PRISMA flow should be updated to the 2020 version. • The quality of all figures should be improved. Reviewer #2: General comments: The authors demonstrated the risk factors of COPD performing the systematic review and meta-analysis in Chinese population. Their article is likely to help readers to learn this field. According to their results, PM2.5, smoking history, BMI18.5kg/m2, exposure to biomass burning emissions, and family history of respiratory diseases were the risk factors. These findings let readers reconsider this field. Despite no description of new insights in this field, the review for each section has been adequately addressed in the present manuscript. Although the review for each section has been adequately addressed, several changes are required to update the manuscript. Major: #1. Conclusion: Because the meta-analysis was not performed comparing the above risk factors between men and women, the second sentence could not be drawn and endorsed in the present study, although the background and rationale behind COPD was well described in the text. Minor: #1. Abstract: Abbreviation of “CI” should be explained in the text. #2. Methods/Study selection: “overweight” may be changed to “underweight” in the sentence. Reviewer #3: The authors did a meta-analysis of published studies in COPD risk factors that focused in the populations of China. Out of the 2,449 studies found from January 2000 to December 2020, 17 studies matched their selection criteria. The statistical analysis of the COPD risk factors of these studies identified i) 2.5um particle exposure, ii) smoking history, iii) BMI, biomass burning emissions, and iv) family history of respiratory diseases as COPD risk factors for the people that reside in China. I believe that this kind of analysis is important and could help prevent COPD. However, grammar needs to be cleaned up and I do have some questions and a few recommendations for the authors: Abstract I understand the economic aspect of the disease, but the biggest impact of COPD is not the economic burden; it’s the impact in the quality of life of the COPD patients. They become prone to viral/bacterial/fungal infections which can worsen the already damaged lungs and could lead to death. I would suggest to include that in the abstract since this supports better the necessity/importance of your study. The second phrase of the background section need rephrasing. The studies do to refer to Chinese population but to Chinese population that resides in China. Also, this study identified COPD risks factors that if taken under consideration could help with the early-identification and prevention COPD in a large part of this population. At the methods section please replace the word “17 articles were included” with “selected”. At the conclusion section I would include never starting smoking. I would be more specific regarding the weight, please include the BMI instead of the “reasonable weight”. The phrase “staying vigilant to changes in the health of a child’s respiratory tract” is confusing. I believe you are referring to respiratory track infections. Are you suggesting to take precautions so the child doesn’t get respiratory infections? Or treat these infections in a timely manner? What is the critical age for kids, up until what age they need to be protected? Methods Why was the search limited to English language? I would expect that including studies published in Chinese would enrich your data and provide a better insight to the whole scientific community that doesn’t understand Chinese thus cannot access those studies. When you state all participants are from China, do you refer to Asian population that resides in China or any population of any race that resides in China? When you state that case diagnosis is clear, what does this mean? What clinically/imaging confirmed means? Pulmonary function test? What % decline in FEV1/FVC/DLCO? Is imaging referring to CT scan? Results Figure 1/: I am not sure how politically correct is to include Taiwan as part of China (paper by TC Chan 2015). How many years exposure to PM2.5 increases the risk for developing a COPD? I would like more information regarding the age of the children that had respiratory infections, the type of the infection (viral/bacterial/fungal) and the severity of the infection. Also, were these children smoking or exposed to second hand smoke? Did these children have history of respiratory diseases? What was their pM2.5 exposure? How many times did they get infected? It is too vague to state that any respiratory infection during childhood could lead to COPD. Is there any evidence to narrow down this risk factor? Regarding the family history of respiratory disease, could you please provide more information regarding the respiratory diseases involved? (Asthma, COPD, IPF, etc.) Also, I am assuming you are referring to chronic conditions. I would also be interested to see if any of these studies identified any genetic markers apart from environmental factors. Discussion I would like to see a section that clearly states that this study provides evidence, which could help advance the medical field. What is the innovation, new knowledge gained? Furthermore, how could this evidence pass into clinical practice in China? ********** 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: No Reviewer #2: No Reviewer #3: Yes: Efthymia Iliana Matthaiou, PhD [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.] 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 PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. |
| Revision 1 |
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Epidemiological evidence relating risk factors to Chronic Obstructive Pulmonary Disease in China: A systematic review and meta-analysis. PONE-D-21-16397R1 Dear Dr. Wenya Yu, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. 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 help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- 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. Kind regards, Surasak Saokaew, PharmD, PhD, BPHCP, FACP, FCPA Academic Editor PLOS ONE Additional Editor Comments (optional): Reviewers' comments: |
| Formally Accepted |
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PONE-D-21-16397R1 Epidemiological evidence relating risk factors to Chronic Obstructive Pulmonary Disease in China: A systematic review and meta-analysis Dear Dr. Yu: I'm 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 let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, 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. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Surasak Saokaew Academic Editor PLOS ONE |
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