Brief Report: Impact of COVID-19 in Individuals with Autism Spectrum Disorders: Analysis of a National Private Claims Insurance Database
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SciScore for 10.1101/2021.03.31.21254434: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable Each of the condition groups (e.g., ASD + ID, ASD + DD, ASD, etc.), coded as dummy variables, were entered along with gender (male; female) and age-groups (0-18 years; 19 – 29 years; 30 – 39 years; 40 – 49 years; 50 – 59 years; 60 – 69 years; 70 years and older) using the step-wise forward logistic regression with a significance level of 0.3 required to allow the variable into the model and a significance level of 0.35 required to allow the variable to stay into the model with each subsequent entry. Table 2: Resources
No key resources detected.
Result…
SciScore for 10.1101/2021.03.31.21254434: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement not detected. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable Each of the condition groups (e.g., ASD + ID, ASD + DD, ASD, etc.), coded as dummy variables, were entered along with gender (male; female) and age-groups (0-18 years; 19 – 29 years; 30 – 39 years; 40 – 49 years; 50 – 59 years; 60 – 69 years; 70 years and older) using the step-wise forward logistic regression with a significance level of 0.3 required to allow the variable into the model and a significance level of 0.35 required to allow the variable to stay into the model with each subsequent entry. 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: We detected the following sentences addressing limitations in the study:An additional limitation is that condition identification was based on the ICD-10 diagnostic codes that may miss some individuals. Further, a substantial proportion of private claims data do not report on race/ethnicity, making it difficult to examine disparities in experiences (Ng, Ye, Ward, Haffer, & Scholle, 2017). Factors indicative of social and economic vulnerability, including living situation, would likely present more nuanced and policy-relevant findings. Future studies that employ natural language processing or medical record review to identify COVID-19, people with ASD, and other important factors related to hospitalization and length of stay would be useful for extending the present work and further characterizing the impact of COVID-19 on the ASD population.
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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