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Table 2 Summary of quality appraisal for excluded studies

From: Quality of life and mental health measurements among patients with type 2 diabetes mellitus: a systematic review

S.N

Authors

Year

Study design

Rationale for exclusion

1

Cykert, D. M., et al

2017

Cross-sectional

The exposure measured was not clearly defined in a valid and reliable way and the standard criteria used for the measurement of the outcomes was unclear

2

Rani, M., et al

2019

Cross-sectional

The study subjects and setting were not clearly described. Confounding factors were not mentioned by the authors

3

Babenko, A. Y., et al

2019

Cross-sectional

The methodology provided no details on the study subjects and setting. The study lacked details on confounding factors

4

Haidari, F., et al

2017

Cross-sectional

The standard criteria for measuring the outcomes and confounding factors were not clear or identified

5

Pati, S., et al

2020

Cross-sectional

The exposure and outcomes variables were not measured in a valid and reliable way

6

Thapa, S., et al

2019

Cross-sectional

Confounding factors and strategies used to deal with these were not identified in this study. The methodology did not provide clear details on the study participants and setting

7

Sionti, V., et al

2019

Cross-sectional

Unclear inclusion criteria, study setting, confounding factors, and statistical analysis

8

Altınok, A., et al

2016

Cross-sectional

There were no proper details on the study participant, setting, and any confounding factors

9

Mikailiūkštienė, A., et al

2013

Cross-sectional

The standard criteria for the measurement of the outcome variables were unclear and there were no details on the study subjects and setting

10

Dalal, J., et al

2020

Cross-sectional

There were no confounding factors identified. Unclear outcomes measurement and statistical analysis

11

Nyoni, A. M., et al

2018

Cross-sectional

There were no standard criteria used for measuring the outcomes variables and limited details on the study participants and setting

12

Olukotun, O., et al

2022

Cross-sectional

There were no confounding factors identified and the study setting was not clearly mentioned

13

Sato, M. and Y. Yamazaki

2012

Cross-sectional

The validity and reliability for measuring the outcomes were unclear and there were no confounding factors identified

14

Walker, R. J., et al

2014

Cross-sectional

The strategies for dealing with confounding factors as well as what was used as the standard criteria for measuring the outcomes variables were unclear

15

Baruah, M. P., et al

2021

Cross-sectional

The exposure and outcomes were not measured in a valid and reliable way. The study setting was unclear and no identification of confounding factors

16

Hu, F., et al

2015

Cross-sectional

Unclear inclusion criteria for the studied population and strategies for identifying the confounding factors

17

Hashimoto, Y., et al

2020

Cross-sectional

There were unclear inclusion criteria and no appropriate information about identifying the confounding factors

18

Abraham, A. M., et al

2020

Randomized clinical

trial

There was no true randomization used for assignment of participants to treatment groups. Allocation concealment was not done

19

Kempf, K. and S. Martin

2013

Randomized clinical

trial

The trial design was not appropriate and there was no detailed information about any deviations from the standard trial design accounted for the conduct and analysis of the trial

20

Ebrahimi, H., et al

2018

Randomized clinical

trial

There was no information as to whether the outcomes assessors were blinded to the intervention or not. Unclear baseline similarity in the two groups. The outcome measurements were not clearly conducted in a reliable way

21

Costa, M. S. A., et al

2020

Cohort

Unclear whether the groups or the participants were free of the outcomes or not at the baseline of the study. There were no clear strategies to address the incomplete data

  1. This table is based on the JBI quality appraisal checklists