Secondary infections modify the overall course of hospitalized patients with COVID-19: a retrospective study from a network of hospitals across North India

  1. Sandeep Budhiraja
  2. Bansidhar Tarai
  3. Dinesh Jain
  4. Mona Aggarwal
  5. Abhaya Indrayan
  6. Poonam Das
  7. Ram Shankar Mishra
  8. Supriya Bali
  9. Monica Mahajan
  10. Jay Kirtani
  11. Rommel Tickoo
  12. Pankaj Soni
  13. Vivek Nangia
  14. Ajay Lall
  15. Nevin Kishore
  16. Ashish Jain
  17. Omender Singh
  18. Namrita Singh
  19. Ashok Kumar
  20. Prashant Saxena
  21. Arun Dewan
  22. Ritesh Aggarwal
  23. Mukesh Mehra
  24. Meenakshi Jain
  25. Vimal Nakra
  26. Bhagwan Das Sharma
  27. Praveen Kumar Pandey
  28. Yogendra Pal Singh
  29. Vijay Arora
  30. Suchitra Jain
  31. Ranjana Chhabra
  32. Preeti Tuli
  33. Vandana Boobna
  34. Alok Joshi
  35. Manoj Aggarwal
  36. Rajiv Gupta
  37. Pankaj Aneja
  38. Sanjay Dhall
  39. Vineet Arora
  40. Inder Mohan Chugh
  41. Sandeep Garg
  42. Vikas Mittal
  43. Ajay Gupta
  44. Bikram Jyoti
  45. Puneet Sharma
  46. Pooja Bhasin
  47. Shakti Jain
  48. Rajinder Kumar Singhal
  49. Atul Bhasin
  50. Anil Vardani
  51. Vivek Pal
  52. Deepak Gargi Pande
  53. Tribhuvan Gulati
  54. Sandeep Nayar
  55. Sunny Kalra
  56. Manish Garg
  57. Rajesh Pande
  58. Pradyut Bag
  59. Arpit Gupta
  60. Jitin Sharma
  61. Anil Handoo
  62. Purabi Burman
  63. Ajay Kumar Gupta
  64. Pankaj Nand Choudhary
  65. Ashish Gupta
  66. Puneet Gupta
  67. Sharad Joshi
  68. Nitesh Tayal
  69. Manish Gupta
  70. Anita Khanna
  71. Sachin Kishore
  72. Shailesh Sahay
  73. Rajiv Dang
  74. Neelima Mishra
  75. Sunil Sekhri
  76. Rajneesh Chandra Srivastava
  77. Mitali Bharat Agrawal
  78. Mohit Mathur
  79. Akash Banwari
  80. Sumit Khetarpal
  81. Sachin Pandove
  82. Deepak Bhasin
  83. Harpal Singh
  84. Devender Midha
  85. Anjali Bhutani
  86. Manpreet Kaur
  87. Amarjit Singh
  88. Shalini Sharma
  89. Komal Singla
  90. Pooja Gupta
  91. Vinay Sagar
  92. Ambrish Dixit
  93. Rashmi Bajpai
  94. Vaibhav Chachra
  95. Puneet Tyagi
  96. Sanjay Saxena
  97. Bhupesh Uniyal
  98. Shantanu Belwal
  99. Imliwati Aier
  100. Mini Singhal
  101. Ankit Khaduri

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  1. Version published to 10.1016/j.ijregi.2022.02.008
  2. ScreenIT

    SciScore for 10.1101/2021.09.27.21264070: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    EthicsIRB: Ethics Committee Approval and Consent: The study was approved by the Institutional Ethics Committee, Max Super Speciality Hospital (A unit of Devki Devi Foundation), Address: Service Floor, Office of Ethics Committee, East Block, next to Conference Room, Max Super Speciality Hospital,
    Consent: All the admitted patients gave a prior consent for their anonymised data to be used for research purposes.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    SPSS 21 was used for calculations.
    SPSS
    suggested: (SPSS, RRID:SCR_002865)

    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.

    Results from scite Reference Check: We found no unreliable references.

    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 checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2021.09.27.21264070v1 on medRxiv