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. 2020 May;8(10):629. doi: 10.21037/atm-20-3324

Table S1. Cross-sectional studies.

Study ID Disease Item 1 Item 2 Item 3 Item 4 Item 5 Item 6 Item 7 Item 8 Item 9 Item 10 Item 11 Scores
Dai 2004 (22) SARS Yes Yes Yes No No No No No No No No 3
Zou 2004 (23) SARS Yes Yes Yes Yes No No No No No Yes No 5
Wang 2003 (24) SARS Yes Yes Yes Yes Yes Yes No No No No No 6
Gao 2003 (25) SARS Yes No Yes No No No No No No No No 2
Lin 2003 (26) SARS Yes No Yes No No Yes No No No No No 3
Xu 2003 (27) SARS Yes Yes Yes Yes No No No No No Yes Yes 6
Gao 2003 (28) SARS Yes Yes Yes No No No No No No No No 3
Yuan 2003 (29) SARS Yes Yes Yes No No No No No No No No 3
Wang 2003 (30) SARS Yes Yes Yes Yes No Yes No No No No No 5
Wang 2003 (31) SARS Yes No No No No No No No No No No 1
Wu 2004 (32) SARS Yes No Yes No No No No No No No No 2
Huang 2003 (33) SARS Yes Yes Yes Yes No No No No No No No 4
Li 2003 (34) SARS Yes Yes Yes No No No No No No No No 3
Fei 2003 (35) SARS Yes No Yes Yes No No No No No No No 3
He 2003 (37) SARS Yes Yes No Yes Yes Yes Yes No No Yes No 7
Ho 2003 (38) SARS Yes Yes Yes Yes Yes Yes No No No No No 6
Li 2003 (39) SARS Yes Yes Yes No No No No No No No No 3
Varia 2003 (41) SARS Yes Yes Yes Yes No No No No No No No 4
Lau 2004 (42) SARS Yes Yes Yes Yes No No No No No No No 4
Zhou 2004 (43) SARS Yes Yes Yes Yes Yes No No Yes No No No 6
Chen 2006 (44) SARS Yes Yes Yes Yes No No No No No No No 4
Cooper 2009 (45) SARS Yes Yes Yes Yes No No No No No No No 4
Oboho 2015 (46) MERS Yes Yes No Yes Yes Yes No Yes No Yes No 7
Xiang 2015 (47) MERS Yes Yes Yes Yes Yes No No Yes No No No 6
Alenazi 2017 (49) MERS Yes Yes Yes Yes No No No No No No No 4
Memish 2015 (50) MERS Yes Yes Yes Yes Yes No No No No No No 5
Park 2016 (51) MERS Yes Yes Yes Yes Yes Yes No No No No No 6
Hunter 2016 (53) MERS Yes Yes Yes Yes Yes No No No No No No 5
Amer 2018 (54) MERS Yes Yes Yes Yes Yes Yes No No No No No 6
Hijawi 2013 (56) MERS Yes Yes Yes No No No No No No No No 3

, according to the methodology evaluation tool recommended by the Agency for Healthcare Research and Quality. This tool assesses the quality of bias according to 11 criteria. And each criterion is answered by “Yes”, “No” or “unsure”. The results were summarized by scoring method, for the “Yes” items, the score was 1, and for the “no” items, the score was 0. The maximum score is 11; the higher the score, the lower the risk of bias. The numbers 1 to 11 refer to the items of the tool: 1. defining the source of information (survey, record review); 2. listing the inclusion and exclusion criteria for exposed and unexposed subjects or referring to previous publications; 3. indicate time period used for identifying patients; 4. indicating whether the subjects were recruited consecutively (if not population-based); 5. indicating if evaluators of subjective components of the study were masked from the participants; 6. description of any assessments undertaken for quality assurance purposes (e.g., test/retest of primary outcome measurements); 7. explaining any exclusions of patients from the analysis; 8. description how confounding was assessed and/or controlled; 9. if applicable, explaining how missing data were handled in the analysis; 10. summarizing patient response rates and completeness of data collection; 11. clarification of the expected follow-up (if any), and the percentage of patients with incomplete data or follow-up.