Marginal means – Pooled across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Sample attribute table. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Subgroup analysis – Political affiliation. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Sample scenario description. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

AMCEs – Pooled across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Methodological flowchart. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Preference for the EIA vs. ETA across scenarios. by Mehdi Mourali (10170245)

“…When are individuals more likely to support equal treatment algorithms (ETAs), characterized by higher predictive accuracy, and when do they prefer equal impact algorithms (EIAs) that reduce performance gaps between groups? A randomized conjoint experiment and a follow-up choice experiment revealed that support for the EIAs decreased sharply as their accuracy gap grew, although impact parity was prioritized more when ETAs produced large outcome discrepancies. …”

Blood Pressure and LDL-C During Follow-up. by Karl Ingard (22582091)

“…This post-hoc analysis included all patients aged ≥80 years (n = 394). The primary outcome was a composite of cardiovascular death, myocardial infarction, and stroke. …”

Baseline Characteristics of Included Patients. by Karl Ingard (22582091)

“…This post-hoc analysis included all patients aged ≥80 years (n = 394). The primary outcome was a composite of cardiovascular death, myocardial infarction, and stroke. …”

Characteristics of the included studies. by Si He (3236646)

“…This study aimed to systematically evaluate the therapeutic effects of NPWT on SWI compared to conventional wound care through meta-analysis.</p><p>Methods</p><p>A comprehensive search of PubMed, Web of Science, Embase, and the Cochrane Library databases was conducted from inception to April 29, 2024 for all potential studies. …”

Extracted data and used for analysis. by Si He (3236646)

“…This study aimed to systematically evaluate the therapeutic effects of NPWT on SWI compared to conventional wound care through meta-analysis.</p><p>Methods</p><p>A comprehensive search of PubMed, Web of Science, Embase, and the Cochrane Library databases was conducted from inception to April 29, 2024 for all potential studies. …”

Excluded studies with reasons for exclusion. by Si He (3236646)

“…This study aimed to systematically evaluate the therapeutic effects of NPWT on SWI compared to conventional wound care through meta-analysis.</p><p>Methods</p><p>A comprehensive search of PubMed, Web of Science, Embase, and the Cochrane Library databases was conducted from inception to April 29, 2024 for all potential studies. …”

Prevaelnce of different pathogens by location. by Amete Mihret Teshale (12072758)

“…This is the first study to estimate the prevalence of NTS, STEC, and CAMPY simultaneously across all age groups and diverse regions in Ethiopia, revealing significant variations. …”

<i>Oenocarpus bacaba</i> palm tree (A) and fruit (B). by Eudes Alves Simões-Neto (19697968)

“…Serological cure was achieved in 34.6% of cases, and IgG titers decreased in 15.3%.</p><p>Conclusions and significance</p><p>We encountered several barriers in managing ACD, including population vulnerability, reliance on outdated diagnostic techniques, lack of standardized molecular biology methods, and limited therapeutic options. …”

Data Sheet 1_Ribosomal protein L9 is a potential therapeutic target for B-ALL through the activation of the p53 signaling pathway.docx by Xinxin Li (281237)

“…In this study, we observed a significant upregulation of RPL9 in human B-ALL cells compared to normal B cells, suggesting RPL9’s potential key role in B-ALL progression. …”

Table 2_To MRAs treatment or not? evidence from a meta-analysis of randomized controlled trials of different MRAs on cardiovascular health in heart failure.docx by Jinyu He (19774641)

“…Compared to conventional therapy or placebo, treatment with MRAs significantly reduced the risk of all-cause mortality (RR = 0.862, 95% CI: 0.778–0.956, p = 0.005; I² = 36.1%), cardiovascular mortality (RR = 0.828, 95% CI: 0.732–0.937, p = 0.003; I² = 45.7%), and heart failure-related hospitalization (RR = 0.780, 95% CI: 0.657–0.926, p = 0.005; I² = 65.5%). …”

Table 1_To MRAs treatment or not? evidence from a meta-analysis of randomized controlled trials of different MRAs on cardiovascular health in heart failure.docx by Jinyu He (19774641)

“…Compared to conventional therapy or placebo, treatment with MRAs significantly reduced the risk of all-cause mortality (RR = 0.862, 95% CI: 0.778–0.956, p = 0.005; I² = 36.1%), cardiovascular mortality (RR = 0.828, 95% CI: 0.732–0.937, p = 0.003; I² = 45.7%), and heart failure-related hospitalization (RR = 0.780, 95% CI: 0.657–0.926, p = 0.005; I² = 65.5%). …”

Table 3_To MRAs treatment or not? evidence from a meta-analysis of randomized controlled trials of different MRAs on cardiovascular health in heart failure.docx by Jinyu He (19774641)

“…Compared to conventional therapy or placebo, treatment with MRAs significantly reduced the risk of all-cause mortality (RR = 0.862, 95% CI: 0.778–0.956, p = 0.005; I² = 36.1%), cardiovascular mortality (RR = 0.828, 95% CI: 0.732–0.937, p = 0.003; I² = 45.7%), and heart failure-related hospitalization (RR = 0.780, 95% CI: 0.657–0.926, p = 0.005; I² = 65.5%). …”

Table 1_The association between oxidative balance scores and all-cause mortality and cancer-specific mortality in cancer survivors: a retrospective cohort study.doc by Ran He (207626)

“…</p>Conclusion<p>The study reveals a significant linear negative association between OBS in cancer survivors and both all-cause and cancer-specific mortality.…”

Fig 3 - by Micha Keller (11312748)

“…For MFHA durations, CVH exhibits significant concomitant ‘shifting’ of ANS activity between IM- and LF-band during CVH intervention: LF-band duration increases by the amount that IM-band decreases. …”