Peer Review History
| Original SubmissionJune 4, 2021 |
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PONE-D-21-18474Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workersPLOS ONE Dear Dr. Leers, 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 Jun 06 2022 11:59PM. 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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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. In your ethics statement in the manuscript Methods and the online submission form, please state whether participation in the study was voluntary, and whether participants were aware that they could opt out at any time. 3. Please provide additional details regarding participant consent. In the ethics statement in the Methods and online submission information, please ensure that you have specified what type you obtained (for instance, written or verbal, and if verbal, how it was documented and witnessed). If your study included minors, state whether you obtained consent from parents or guardians. If the need for consent was waived by the ethics committee, please include this information. 4. 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. 5. We note that you have included the phrase “data not shown” in your manuscript. Unfortunately, this does not meet our data sharing requirements. PLOS does not permit references to inaccessible data. We require that authors provide all relevant data within the paper, Supporting Information files, or in an acceptable, public repository. Please add a citation to support this phrase or upload the data that corresponds with these findings to a stable repository (such as Figshare or Dryad) and provide and URLs, DOIs, or accession numbers that may be used to access these data. Or, if the data are not a core part of the research being presented in your study, we ask that you remove the phrase that refers to these data. 6. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. [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: 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: No 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: Thank you for the opportunity to review the manuscript. The theme is relevant, and the article is well written. There are some comments and questions: Abstract #1 - The authors should indicate the study's design with a commonly used term in the title or the abstract and inform that the data were prospectively collected. #2 - The authors should indicate the cut-off value for excluding COVID-19 with a sensitivity of 100% in the results. #3 - The 95% confidence interval for specificity should be included. Methods #1 - Since the laboratory data and outcome analysis were evaluated simultaneously, should the study be characterized as a cohort? #2 - How many healthcare workers were not included due to not having all the laboratory data needed to calculate the CoLab-score? Are they only the 33 health care workers with missing laboratory values due to hemolysis? #3 - Invalid RT-PCR test results due to contamination should be included in the exclusion criteria. #4 - The RT-PCR CT-value should be explained in the laboratory measurements. #5 - Was there a protocol to repeat the RT-PCR test with an initial negative test and high suspicion for COVID-19 remains (e.g., suggestive symptoms without apparent alternative cause)? #6 - The authors should explain how the logistic regression model was fitted in more detail. #7 - How many professionals did the RT-PCR due to COVID-19 related complaints and to be in close proximity to a person with COVID-19? #8 - In addition to the analysis of overall healthcare workers, it is possible to assess these groups separately since the pre-test probabilities for the two conditions are likely to be different? Results #1 - "The AUC is lower than the development cohort of the original CoLab study (14) but similar to the AUC reported for external cohorts in the original CoLab study. Therefore, the discriminative ability seems to be preserved when classifying HCWs" should be moved to the discussion section. #2 - The authors should inform the 95% confidence interval of the sensibility and specificity for the CoLab’-score cut-off value and the positive and negative likelihood ratios. Discussion #1 - The authors stated: "Using this adapted cut-off, an NPV of 100% was found with a specificity of 34% (95% CI: 21 to 49%)". As the negative predictive value is dependent on disease prevalence, should this NPV of 100% for the CoLab-score cut-off value be maintained with the reduction of the COVID-19 prevalence? #2 - The authors should discuss the study's limitations. #3 - The authors should discuss the advantage of the CoLab-score compared to the SARS-CoV-2 antigen test to fastly screen health care workers with COVID-19 related complaints. #4 - Can the accuracy of the CoLab-score be changed by emerging SARS-CoV-2 variants, such as the Omicron variant? Data Availability: #1 - The authors should indicate where the data underlying the findings described are fully available. Finally, I did not thoroughly check for grammatical errors since I am not a native English user. An appropriate language reviewer should do this. Reviewer #2: Overall the article is well written and the work is technically sound. The findings are also useful and have potential applications in the healthcare sector. There are however a couple of minor changes that could be incorporated into the article to make the work more rigorous and better understood. 1. The study is performed only on HCW who have complaints or have been in close proximity to COVID-19 patients. While this is the focus group of the study, the authors do not analyse samples or colab scores of HCWs who do not have complaints or have been in close proximity. This would've been a good control group and would've assisted in understanding the presence of any possible noise that could produce false positives or eliminate the possibility of the same. Anyway, given that there is no data available for the same, an elaborate heuristic justification of the reason for exclusion in the main text would be useful and make the study more credible. 2. The description of figure 3 could be made better with a better description of figure 3A and 3B independently in the legends to the figures. Once these minor changes are incorporated, the manuscript will make for a good 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: No Reviewer #2: No [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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Use of an algorithm based on routine blood laboratory tests to exclude COVID-19 in a screening-setting of healthcare workers PONE-D-21-18474R1 Dear Dr. Leers, 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, Siddhartha Pratim Chakrabarty 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: No ********** 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: Thank you for addressing the comments. The authors have made appropriate adjustments to the original submission which have refined and strengthened it to good effect. All my comments have been answered, and I have no further recommendations. Reviewer #2: (No Response) ********** 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: Yes: Fabio Ferreira Amorim Reviewer #2: No ********** |
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