Clinic characteristics of study participants from two ART facilities in Bauchi state, based on data retrieved covering a three-year period from 2020 to 2022. by Ekerette Emmanuel Udoh (7326194)

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Segmented regression analysis of time to intravenous antimicrobial administration (IVA) at intervention and control sites during the implementation period. by J Mark Ansermino (13958512)

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Interrupted time series analysis showing time to intravenous antimicrobials (IVA) in minutes at intervention and control sites in Uganda during baseline and implementation periods. by J Mark Ansermino (13958512)

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Kenya: Enrolment, time to IVA, mortality, admissions and readmissions at sites in Kenya. by J Mark Ansermino (13958512)

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Uganda: enrolment, time to IVA, mortality, admissions and readmissions. by J Mark Ansermino (13958512)

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Interrupted time series analysis showing time to intravenous antimicrobials (IVA) in minutes at intervention and control sites in Kenya during baseline and implementation periods. by J Mark Ansermino (13958512)

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Bluetooth beacons with colour coded lanyards. by J Mark Ansermino (13958512)

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Flow diagram of the Smart Triage multisite interventional study in Uganda and Kenya indicating the progress through study phases at each site. by J Mark Ansermino (13958512)

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Clinical outcomes at 1-year. by Erika Yamamoto (3809308)

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Clinical significance of <i>STM</i>_<i>FCS</i>. by Peter A. Pahapill (8468607)

Bendamustine treatment of haematological malignancies: significant risks of opportunistic viral, fungal and bacterial infections by Tony K.Y. Wu (12531048)

“…Age remained the only significant risk on multivariate analysis. CMV reactivation resulted in retinitis (<i>N</i> = 4), ependymitis/ventriculitis (<i>N</i> = 1) and duodenitis/colitis (<i>N</i> = 1). …”

Risk of bias summary. by Manuela Llano-León (14599800)

Clinical characteristics of the study population. by Hun Gi Lee (21526538)

“…After adjustment, the risk of emergency surgery did not show a statistically significant difference, but the risk of ICU admission and unfavorable outcomes increased. …”

Table_1_Differences and Similarities in Motives to Decrease Drinking, and to Drink in General Between Former and Current Heavy Drinkers—Implications for Changing Own Drinking Behav... by Magdalena Rowicka (11935229)

“…Additionally, a set of questions regarding motives to decrease drinking were analysed. The results show that differences were observed between the investigated groups: the current dependent group scored significantly higher on all the dimensions of drinking motives than the current low-risk group and significantly higher on coping, social, and enhancement motives than former heavy drinkers (both groups). …”

Model comparisons of linear-mixed effect models predicting internalizing and externalizing problems. by Irina Jarvers (10704223)

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Demographic, clinical, and densitometric characteristics of study participants. by Agnieszka Budnik (17241045)

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Clinical baseline data after PSM. by Jie Zhao (49409)

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Baseline data of clinical ICU patients. by Jie Zhao (49409)

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Kaplan-Meier curves for time until depression/anxiety stratified by OM, WLR, and WLM. by G. Craig Wood (7522025)

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Overview of study design and timeline. by G. Craig Wood (7522025)

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