Delta Kmax¹ with non-accelerated and accelerated CXL² protocols. by Denise Wajnsztajn (3366902)

Delta Kmax¹ with epithelium-off and epithelium-on CXL² protocols. by Denise Wajnsztajn (3366902)

Study-related adverse events. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study flow chart. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

Study CONSORT diagram. by Benjamin R. Lewis (22279166)

“…In a linear mixed model analysis (LMM), the MBSR + PAP arm evidenced a significantly larger decrease in QIDS-SR-16 score than the MBSR-only arm from baseline to 2-weeks post-intervention (between-groups effect = 4.6, 95% CI [1.51, 7.70]; <i>p</i> = 0.008). …”

S1 Data - by Marc S. Penn (16624541)

“…After adjusting for age, sex, and cardiovascular risk factors, risk of cardiovascular death did not differ significantly between patients with high and low MPO (HR, 1.57; 95% CI, 0.56–4.39), but patients with high MPO had greater risk of non-cardiovascular (HR, 6.15; 95% CI, 2.27–16.64) and all-cause (HR, 3.83; 95% CI, 1.88–7.78) death. …”

Radar graph of odds ratio visualization for disease milestones difference by age and disease duration. by Sasivimol Virameteekul (11868977)

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Radar graph of absolute correlations between age, disease duration and disease variables. by Sasivimol Virameteekul (11868977)

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Comparison of demographic and clinical characteristics for old-old PD patients with disease duration <10 years versus those with disease duration ≥10 years. by Sasivimol Virameteekul (11868977)

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Distribution of the global population in 2020 [4] and prevalence of global Parkinson’s disease in 2016, by age [5]. by Sasivimol Virameteekul (11868977)

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Comparison of demographic and clinical characteristics of old-old versus young-old PD patients. by Sasivimol Virameteekul (11868977)

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Evolution of health burden and life expectancy under different expenditure scenarios. by Margherita Molaro (17803989)

Scaling of overall health burden with yearly expenditure growth. by Margherita Molaro (17803989)

Impact on different areas of health. by Margherita Molaro (17803989)

Datasets used in the study. by Rajon Banik (12066099)

“…</p><p>Conclusion</p><p>The findings indicate a significant increase in the availability of health facilities offering modern family planning services in Bangladesh; however, a slight decline has been observed in their overall mean readiness score. …”

Genes significantly affected by deletion of <i>ryfA</i>. by Hicham Bessaiah (6840980)

“…Dark blue is greater or equal to (≥) a 3-fold decrease. Light blue is a decrease from 3-fold to 1.7-fold. …”

Spatial exploration patterns of tumor bearing mice under different treatment conditions in the Morris Water Maze (MWM). by Robert Botelho (20308297)

Spatial exploration patterns of non-tumor bearing mice under different treatment conditions in the Morris Water Maze (MWM). by Robert Botelho (20308297)

Model selection based on best fit. by Angelina Mageni Lutambi (22097223)

“…The results showed that malaria incidence decreased with greater variance across Tanzania. Mean malaria incidence decreased from 0.347 (95% CI: 0.336, 0.357) in 2000 to 0.118 (95% CI: 0.114, 0.122) in 2020, relative to the increasing insecticide-treated bednets (ITNs) coverage (0.037; 95% CI: 0.036, 0.039 in 2000 to 0.496; 95% CI: 0.476, 0.517 in 2020). …”

Osteoporosis screening among study participants. by Surakshya Khanal (19949745)

“…Moreover, it highlighted inadequate dietary practices, such as low consumption of milk, vegetables, fruits, and calcium supplements among women, indicates are at greater risk of osteoporosis. The study emphasized the need for community-based awareness programs for the target population such as housemakers, and lower-income groups, to prevent osteoporosis among women.…”