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Table 2 Risk of bias of the 16 data sets of 13 cohorts reporting in 15 articles of 12 original studies

From: Risk of childhood mortality associated with death of a mother in low-and-middle-income countries: a systematic review and meta-analysis

 

Scott, 2017 [35]

Finlay 2015 [10]

Moucheraud, 2015 [31]

Houle, 2015 [26]

Clark, 2013 [11]

Sartorius, 2011 [25]

Saleem, 2014 [34]

Ronsmans, 2010 [9]

Sartorius, 2010 [24]

Anderson, 2007 [28]

Becher H, 2004 [29]

Masmas, 2004 (Rural) [27]

Masmas, 2004 (Urban) [27]

Nakiyingi, 2003 [32]

Ng’weshemi, 2003 [33]

Katz J, 2003 [30]

Bias in selection of participants into study

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Measurement of exposurea

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Measurement of outcome

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Low

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Was outcome of interest absent at the time to which the exposure refers?

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Moderate

Low

Low

Moderate

Moderate

Moderate

Was follow-up long enough for outcome to occur as a consequence of measured exposure?b

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Participation rate

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Completeness of follow-up

Low

Low

Low

Low

Low

Low

Low

Low

Low

High

Moderate

Low

Moderate

Low

Moderate

Low

Accuracy of dates of outcomes or censoring

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Difference in follow-up between exposed and non-exposed

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

High

Low

Low

Low

Difference in missing data for exposure between those with or without the outcomec

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Comparability of exposed and non-exposed cohorts with respect to potentially important confounding variablesd

High

Low

Moderate

Low

Moderate

Moderate

High

Low

High

High

High

Low

Low

High

Moderate

Low

Covariates are appropriately included in statistical analysis models

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

Low

low

  1. aRated at low risk of bias when pre-existing data sets with exposures and outcomes reported by different or same databases or and authors state outcomes determined blind to exposure; Rated at moderate risk if exposure measured by looking at pre-existing records containing both exposures and outcomes and no mention of blinding or using a structured interview
  2. bAdequate follow-up could be any time for children less than 2 years old, but at least 1 year for children > 2 years
  3. cRated as low risk if data were from Census and Health and Demographic Surveillance System (HDSS) data
  4. dPotentially important prespecified confounders were age of child, HIV infection if prevalent in cohort setting and SES/Education