Estimating excess 1-year mortality associated with the COVID-19 pandemic according to underlying conditions and age: a population-based cohort study
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SciScore for 10.1101/2020.03.22.20040287: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IACUC: Study approval was granted by the Independent Scientific Advisory Committee of the Medicines and Healthcare products Regulatory Agency in the UK in accordance with the Declaration of Helsinki. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage …SciScore for 10.1101/2020.03.22.20040287: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IACUC: Study approval was granted by the Independent Scientific Advisory Committee of the Medicines and Healthcare products Regulatory Agency in the UK in accordance with the Declaration of Helsinki. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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SciScore for 10.1101/2020.03.22.20040287: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Study approval was granted by the Independent Scientific Advisory Committee of the Medicines and Healthcare products Regulatory Agency in the UK in accordance with the Declaration of Helsinki. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable Rapid communication 22/3/2020 6 Results Prevalence of underlying conditions We included 3,862,012 individuals aged Table 2: Resources
Software and Algorithms Sentences Resources We demonstrate that on current criteria at least 20 % of the population falls within the highmortality risk category; 13.7 % based on age >70 years ( an arbitrary cut-off ) and a … SciScore for 10.1101/2020.03.22.20040287: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement Study approval was granted by the Independent Scientific Advisory Committee of the Medicines and Healthcare products Regulatory Agency in the UK in accordance with the Declaration of Helsinki. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable Rapid communication 22/3/2020 6 Results Prevalence of underlying conditions We included 3,862,012 individuals aged Table 2: Resources
Software and Algorithms Sentences Resources We demonstrate that on current criteria at least 20 % of the population falls within the highmortality risk category; 13.7 % based on age >70 years ( an arbitrary cut-off ) and a further 6.3 % Rapid communication 22/3/2020 9 based on having one or more underlying condition: most frequently CVD , diabetes , steroid therapy and COPD; 11.7 % had 2 or more underlying conditions ( multimorbidity) . COPDsuggested: NoneResults from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
About SciScore
SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore is not a substitute for expert review. SciScore checks for the presence and correctness of RRIDs (research resource identifiers) in the manuscript, and detects sentences that appear to be missing RRIDs. SciScore also checks to make sure that rigor criteria are addressed by authors. It does this by detecting sentences that discuss criteria such as blinding or power analysis. SciScore does not guarantee that the rigor criteria that it detects are appropriate for the particular study. Instead it assists authors, editors, and reviewers by drawing attention to sections of the manuscript that contain or should contain various rigor criteria and key resources. For details on the results shown here, please follow this link.
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