Group SFA-before intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Lost cases. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Group control-before intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Patient satisfaction with SFA intervention(%). by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Pre-Experiment. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Group SFA-after intervention. by Nan Tang (642590)

“…</p><p>Results</p><p>The intervention group showed a significant decrease in anxiety (t =  11.906, P <  0.001) and depression scores (t =  14.991, P <  0.001), as well as PSQI scores (t =  7.055, P <  0.001), and increased FertiQoL scores (t =  -2.828, P <  0.001). …”

Flowchart of literature screening process. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Basic characteristics of included literature. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Raw data. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Forest plot of overall analysis results. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Forest plot for subgroups of infection types. by Shangtian Wang (20933822)

“…Subgroup analyses revealed a significant prevention of serious infections (OR = 0.40, 95%CI 0.25-0.64, p = 0.0001). …”

Sensitivity analysis results. by Shangtian Wang (20933822)

Forest plot for subgroups of analysis types. by Shangtian Wang (20933822)

Forest plot for subgroups of study types. by Shangtian Wang (20933822)

Bar graphs showing the total loss rates and 95% confidence intervals for each region in Ethiopia, Kenya, and Benin. by Beatrice T. Nganso (4114768)

Overexpression of miR-184 disrupts pleated septate junctions in peripheral nerves. by Sravya Paluri (5475260)

Meta-analyses were performed to aggregate the HRs for continuous (A) and binary (B) GSRS after excluding the GSE167573 cohort. by Yu Zhang (12946)

Distribution (A) and association (B) between the identified clusters and the glucocorticoid signaling-related score (GSRS) stratification in the TCGA-KIRC cohort. by Yu Zhang (12946)

Analysis of SAS, SDS, PSQI, and FertiQoL scores. by Nan Tang (642590)

Map with color coding showing the relative risk of loss at the regional level for each country in Sub-Saharan Africa. by Beatrice T. Nganso (4114768)