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. 2022 Oct 27;45(4):338–344. doi: 10.1177/02537176221130252

Table 2.

Risk of Bias Assessment of Included Studies.

Author (Year of Publication) Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Total
Saikia et al. (2018) 1 0 0 0 0 0 0 0 1
Lalu et al. (2018) 1 1 1 1 0 0 1 0 5
Mummadi (2018) 1 0 UC UC 0 0 UC 0 1
Kushwaha et al. (2017) 1 0 1 1 0 0 1 0 4
Chandra et al. (2015) 1 0 0 1 0 0 0 0 2
Chandra et al. (2014) 1 0 1 1 0 0 1 0 4
Tripathi et al. (2012) 1 0 1 1 0 0 1 1 5
Ghosh et al. (2012) 1 0 1 1 0 0 1 1 5
Kota et al. (2012) 1 0 1 1 0 0 1 1 5
Poddar et al. (2011) 1 0 UC UC 0 0 UC 0 1
Saldanha et al. (2010) 1 0 UC 1 0 0 UC 0 2
Alladi et al. (2006) 1 1 UC 1 0 0 UC 0 3
Rajkumar et al. (1997) 1 1 UC 1 0 0 UC 0 3
Shaji et al. (1996) 1 1 UC 1 0 0 UC 0 3
Mean: 3.1, Median: 3                  

Q1: Were the criteria for inclusion in the sample clearly defined? Q2: Were the study subjects and the setting described in detail? Q3: Was the exposure measured in a valid and reliable way? Q4: Were objective, standard criteria used for measurement of the condition? Q5: Were confounding factors identified? Q6: Were strategies to deal with confounding factors stated? Q7: Were the outcomes measured in a valid and reliable way? Q8: Was appropriate statistical analysis used? (1—Yes, 0—No, NA—Not applicable, UC—Unclear).