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. 2020 Sep 21;12(2):461–489. doi: 10.1093/advances/nmaa107

TABLE 2.

Risk-of-bias assessment for included studies

Domains of bias evaluation (low, moderate, or high risk of bias)1
Study category and identification Study participants Study attrition Prognostic factor measurement Outcome measurement Study confounding Statistical analysis and reporting
Protein-energy supplementation
 Hawkesworth 2011 (Trial 1) (21) Low Moderate Low Low Low Low
 Hawkesworth 2009 (54) Low Moderate Low Low Low Low
 Hawkesworth 2008 (22) Low Moderate Low Low Low Low
 Kinra 2008 (55) Low Low Low Low Low Low
 Macleod 2013 (23) High Moderate Low Low Low Moderate
Long-chain polyunsaturated fatty acid supplementation
 Asserhøj 2009 (39) Moderate Moderate Low Low Low Low
 Brei 2016 (56) Low Moderate Low Low Moderate Low
 Foster 2017 (57) Moderate Low Low Low Moderate Moderate
 Gutierrez-Gomez 2017 (24) Low Moderate Low Low Moderate Low
 Kerling 2019 (40) Low Moderate Low Low Moderate Low
 Muhlhausler 2016 (25) Low Low Low Low Low Low
 Rytter 2012 (41) Low Moderate Low Low Low Low
 Rytter 2011a (26) Low Moderate Low Low Low Low
 Rytter 2011b (36) Low Moderate Low Low Low Low
 See 2018 (27) Moderate Moderate Low Low Moderate Moderate
 Vinding et al. 2018 (58) Low Low Low Low Low Low
Single-micronutrient supplementation
 Belizan 1997 (42) Low Moderate Low Low Moderate Low
 Hawkesworth 2011 (Trial 2) (21) Low Moderate Low Low Low Low
 Hiller 2007 (43) Moderate High Low Low Moderate Moderate
 Palmer 2020 (59) Low High Low Low Low Low
 Taylor 2015 (60) Low Low Low Low Low Low
Multiple-micronutrient supplementation
 Ekström 2016 (Trial 1) (28) Low Low Low Low Moderate Moderate
 Kumordzie 2019 (61) Low Low Low Low Low Low
 Mannan 2016 (62) Low High Low Low Low Moderate
 Stewart 2011 (63) Low Moderate Low Low Low Low
 Stewart 2009 (64) Low Low Low Low Low Low
Infant and young child feeding, and milk supplementation
 de Jong 2011 (44) Low Low Low Low Moderate Moderate
 Forsyth 2003 (45) Low Moderate High High High High
 Gruszfeld 2016 (65) Low High Low Low Low Low
 Gruszfeld 2015 (37) Low Moderate Low Low High Moderate
 Kennedy 2010 (46) Low Moderate Low Low Moderate Low
 Kramer 2007 (66) Low Low Low Low Low Moderate
 Martin 2017 (47) Low Low Low Low Low Low
 Martin 2014 (29) Low Low Low Low Low Low
 Martin 2013 (67) Low Low Low Low Low Low
 Singhal 2010 (49) Low Moderate Low Low Low Low
 Singhal 2004 (38) Moderate High Low Low Low Low
 Singhal 2003 (30) Moderate High Low Low Low Low
 Singhal 2002 (68) Moderate High Low Low Low Moderate
 Singhal 2001 (48) Moderate High Low Low Low Low
 Toftlund 2018 (31) Moderate Moderate Low Low Moderate Moderate
 Totzauer 2018 (69) Low Moderate Low Low Low Low
 Weber 2014 (50) Low Moderate Low Low Low Low
 Williams 2012 (32) Low Moderate Low Low Low Low
Dietary counseling
 Costa 2017 (33) Low Moderate Low Low Low Low
 Hakanen 2006 (70) Low Moderate Low Low Moderate Low
 Lehtovirta 2018 (71) Low Moderate Low Low Low Moderate
 Nupponen 2015 (72) Low Moderate Low Low Moderate Low
 Pahkala 2020 (34) Low Moderate Low Low Moderate Low
 Pahkala 2013 (73) Low Moderate Low Low Moderate Low
 Raitakari 2005 (74) Low Moderate Low Low Moderate Moderate
Other interventions
 Ekström 2016 (Trial 2) (28) Low Low Low Low Moderate Moderate
 Luoto 2010 (75) Moderate Low Low Low Moderate Low
 Videhult 2015a (35) Low Low Low Low Moderate Moderate
 Videhult 2015b (76) Low Low Low Low Moderate Low
1

Bias assessment followed specific criteria by each domain:

1) Study participants: High bias—the relation between predictor and outcome is very likely to be different for participants and eligible nonparticipants. Moderate bias—the relation could be different. Low bias—the relation is unlikely to be different.

2) Study attrition: High bias—the relation between predictor and outcome is very likely to be different for completing and noncompleting participants. Moderate bias—the relation could be different. Low bias—the relation is unlikely to be different.

3) Prognostic factor measurement: High bias—the measurement of the predictor is very likely to be different for different levels of the outcome of interest. Moderate bias—the measurement could be different. Low bias—the measurement is unlikely to be different.

4) Outcome measurement: High bias—the measurement of the outcome is very likely to be different related to the baseline level of the predictor. Moderate bias—the measurement could be different. Low bias—the measurement is unlikely to be different.

5) Study confounding: High bias—the observed effect of the predictor on the outcome is very likely to be distorted by another factor related to the predictor and outcome. Moderate bias—the effect could be distorted. Low bias—the effect is unlikely to be distorted.

6) Statistical analysis and reporting: High bias—the reported results are very likely to be spurious or biased related to analysis or reporting. Moderate bias–could be spurious or biased. Low bias—unlikely to be spurious or biased.