Descriptive statistics (means) for full sample and by lockdown status. by Drew B. Cameron (10687420)

Search strategy. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 1 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

GMT by age cohort for PWH and PWoH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 4 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Difference in GMT for HPV16 and HPV18 in PWH. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Fig 3 - by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Summary of characteristics of studies reviewed. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Cumulative meta-analysis. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Summary of immunogenicity information. by Alvine M. Akumbom (20460907)

“…GMT results of HPV16 and HPV18 genotypes were significantly lower in PWH; Hedges’s g -0.434 (95% CI: -0.823, -0.046) and Hedges’s g -0.57 (95% CI: -0.72, -0.43), respectively. …”

Data Sheet 1_Valve-in-valve transcatheter aortic valve replacement (TAVR) leads to lower device success compared to TAVR in native stenosis.pdf by Michael Paukovitsch (16428786)

“…The overall rate of device success amounted to 66% in ViV-TAVR, compared to 96.1% in TAVR (p < 0.01) and ViV-TAVR was independently associated with reduced device success (OR: 0.07, 95%CI: 0.045–0.12, p < 0.01) in multivariate regression. While ViV-TAVR decreased peak and mean gradients significantly, in 31% of patients elevated mean gradients (≥20 mmHg) were observed at discharge. …”

Random forest analysis. by Emir Matpan (21655811)

Pediatric CPP with Praat and ADSV (Joshi et al., 2025) by Ashwini Joshi (21594817)

“…Age and <i>F</i>0 are significant predictors of CPP; however, the observed increase in CPP with increasing age in males is primarily due to the substantial decrease in <i>F</i>0 postpuberty. …”

Table 1_Pre-COVID era pediatric disease incidence in Kazakhstan: regional panel data analysis of multiple disease groups (2010–2019).xlsx by Nurlan Smagulov (21510632)

“…</p>Results<p>Respiratory diseases showed the highest mean incidence (57,329.86 per 100,000), with significant regional variation. …”

Clinical data of lymphoma patients. by Runlong Lin (20796909)

“…Conversely, albumin (ALB) levels and blood lipid levels significantly rose after treatment. Post-treatment, the maximum standardized uptake value (SUVmax) and mean standardized uptake value (SUVmean) of the left ventricle significantly increased, and the percentage of patients exhibiting no uptake pattern in the left ventricle significantly decreased, while those with diffuse uptake pattern notably increased. …”

Data Sheet 1_Knowledge, attitude, and practice toward foodborne disease among Chinese college students: a cross-sectional survey.pdf by Xingming Ma (446316)

“…The significant predictors of practices were included gender (β = 0.11, p < 0.05), nationality (β = −0.12, p < 0.05), specialization type (β = −0.13, p < 0.05), residence (β = −0.11, p < 0.05).…”

Environmental changes and human activities influence the spatial patterns of plant diversity in Eastern Eurasian Steppe by Danyu Wang (12380464)

“…<p dir="ltr">This study predicts the spatial distribution of plant diversity in the Hulun Buir Steppe using the Boruta algorithm and Random Forest model based on both single predictor variables and combined predictor variable sets. …”

Supplementary Material for: High-sensitivity Troponin I Measurement in a Large Contemporary Cohort: Implications for Clinical Care by Esau D. (20563829)

“…Male sex, higher HDL-C, higher Hgb A1c, decreasing eGFR, and increasing systolic blood pressure were significant predictors of increased hsTnI. …”

SEAwise Report on improved predictive models of recruitment under different habitat scenarios and incorporating experimental results by Paco Melià (162862)

“…Projections show no relevant changes in herring recruitment under RCP4.5 and a decreasing trend under RCP8.5. Plaice recruitment would decline slightly under RCP8.5 and increase under RCP4.5, but from a lower level than RCP8.5. …”