Publications by authors named "Gian Luca di Tanna"

Background: Online grocery shopping is a growing source of food purchases in many countries. We investigated the effect of nudging consumers towards purchases of lower sodium products using a web browser extension.

Methods: This trial was conducted among individuals with hypertension who shopped for their groceries online in Australia.

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Introduction: China faces the dual challenge of high air pollution and an increasing burden of cardiovascular disease (CVD). We aimed to estimate the healthcare costs associated with CVD and the quality-adjusted life years (QALYs) under scenarios of improved air quality in China.

Methods: A health prediction model was developed to estimate 10-year CVD-related costs and QALY associated with PM2.

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Background And Objectives: Chronic breathlessness is a frequent diagnostic challenge in primary care. Our aim is to evaluate the feasibility of a stepwise breathlessness diagnostic algorithm for primary care.

Method: This mixed-methods study included: (1) a general practitioner (GP) nominal group technique study; (2) focus groups on GPs' views on the algorithm; and (3) analysis of algorithm alignment against patterns of diagnostic referrals and diagnoses of breathlessness presentations (2014-19) from the MedicineInsight primary care electronic health record (EHR) dataset of 1,961,264 patients (405 general practice sites).

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Background: During the COVID-19 pandemic, there were reports of a shortage of ventilators and oxygen supply, particularly in resource-limited settings. We report the preliminary evaluation of a non-invasive positive end-expiratory pressure (PEEP) mask in hospitalized non-critically ill patients with COVID-19.

Methods: We randomly assigned hospitalized adult patients with confirmed COVID-19 infection and requiring greater than 40% supplemental oxygen to either standard care oxygen delivery (control) or via Materialise passive non-invasive PEEP device mask (intervention; Belgium).

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Background: Single-pill combinations (SPCs) of three low-dose antihypertensive drugs can improve hypertension control but are not widely available. A key issue for any combination product is the contribution of each component to efficacy and tolerability. This trial compared a new triple SPC called GMRx2, containing telmisartan, amlodipine, and indapamide, with dual combinations of components for efficacy and safety.

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Article Synopsis
  • A clinical trial tested a new single-pill combination of low-dose medications (telmisartan, amlodipine, and indapamide) to treat hypertension, comparing two doses against a placebo over four weeks.
  • Results showed significant reductions in home systolic blood pressure (SBP) for both medication doses compared to placebo, with reductions of -7.3 mm Hg and -8.2 mm Hg, respectively, and a notable increase in blood pressure control rates among those taking the medications.
  • Safety observations indicated low treatment discontinuation rates, with the ¼ dose showing only 1.6% discontinuations due to adverse effects, while the ½ dose had a 5
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Objective: To examine the impact of breathlessness on quality of life, health care use, productivity loss, and economic costs in Australia.

Study Design: National internet-based survey of Australian adults drawn from a web-based survey panel (National Breathlessness Survey).

Participants, Setting: Australian adults (18 years or older), nationally representative by age group, gender, state of residence, and postcode-based socio-economic status (Index of Relative Socioeconomic Disadvantage quintile), 13-30 October 2019.

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Background: Air pollution poses a significant threat to global public health. While broad mitigation policies exist, an understanding of the economic consequences, both in terms of health benefits and mitigation costs, remains lacking. This study systematically reviewed the existing economic implications of air pollution control strategies worldwide.

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Background: While previously considered a transient condition, with no lasting adverse impact, gestational diabetes mellitus (GDM) is now a well-established risk factor for developing type 2 diabetes mellitus (T2DM). The risk of developing T2DM appears to be particularly high in the first few years after childbirth, providing a compelling case for early intervention. This review provides an up-to-date systematic review and meta-analysis to assess the effectiveness of interventions to reduce incidence of T2DM in women with a recent history of GDM.

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Article Synopsis
  • - The study investigates the unclear link between pesticide exposure and biological aging by systematically reviewing relevant observational studies and conducting a meta-analysis.
  • - A total of 20 studies involving over 10,000 individuals were analyzed, but the results did not show significant associations between pesticide exposure and commonly used biomarkers for biological aging, such as telomere length and epigenetic clocks.
  • - The authors highlight the need for higher-quality research that examines more biological aging markers and considers the active ingredients in pesticides to better understand their potential impacts.
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Background: Whether intensive glucose control reduces mortality in critically ill patients remains uncertain. Patient-level meta-analyses can provide more precise estimates of treatment effects than are currently available.

Methods: We pooled individual patient data from randomized trials investigating intensive glucose control in critically ill adults.

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Importance: There is uncertainty about whether prolonged infusions of β-lactam antibiotics improve clinically important outcomes in critically ill adults with sepsis or septic shock.

Objective: To determine whether prolonged β-lactam antibiotic infusions are associated with a reduced risk of death in critically ill adults with sepsis or septic shock compared with intermittent infusions.

Data Sources: The primary search was conducted with MEDLINE (via PubMed), CINAHL, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.

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Researchers incorporate health state utility values as inputs to inform economic models. However, for a particular health state or condition, multiple utility values derived from different studies typically exist and a single study is often insufficient to represent the best available source of utility needed to inform policy decisions. The purpose of this paper is to provide an introductory guidance for conducting Bayesian meta-analysis of health state utility values to generate a single parameter input for economic evaluation, using R.

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Context: Mutations in the speckle-type POZ (SPOP) gene are frequently identified in prostate cancer (PC); yet, prognostic implications for affected patients remain unclear. Limited consensus exists regarding tailored treatments for SPOP-mutant (SPOPmut) PC.

Objective: To elucidate the prognostic and predictive significance of SPOP mutations across distinct PC stages and treatments.

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Background: There is a lack of empirical data on design effects (DEFF) for mortality rate for highly clustered data such as with Ebola virus disease (EVD), along with a lack of documentation of methodological limitations and operational utility of mortality estimated from cluster-sampled studies when the DEFF is high.

Objectives: The objectives of this paper are to report EVD mortality rate and DEFF estimates, and discuss the methodological limitations of cluster surveys when data are highly clustered such as during an EVD outbreak.

Methods: We analysed the outputs of two independent population-based surveys conducted at the end of the 2014-2016 EVD outbreak in Bo District, Sierra Leone, in urban and rural areas.

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Background: The increasing number of studies that generate health state utility values (HSUVs) and the impact of HSUVs on cost-utility analyses make a robust tailored quality appraisal (QA) tool for systematic reviews of these studies necessary.

Objective: This study aimed to address conceptual issues regarding QA in systematic reviews of studies eliciting HSUVs by establishing a consensus on the definitions, dimensions and scope of a QA tool specific to this context.

Methods: A modified Delphi method was used in this study.

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Background: The SSaSS (Salt Substitute and Stroke Study) has shown that use of a potassium-enriched salt lowers the risk of stroke, total cardiovascular events, and premature death. The effects on cause-specific cardiac outcomes are reported here.

Methods: SSaSS was an unblinded, cluster-randomised trial assessing the effects of potassium-enriched salt compared with regular salt among 20 995 Chinese adults with established stroke and older age and uncontrolled hypertension.

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Article Synopsis
  • The study investigated the effects of long-term sodium reduction using a potassium-enriched salt substitute on headache frequency and severity in a rural Chinese population.
  • Despite enrolling nearly 21,000 participants, results showed no significant differences in headache occurrence (27% in the salt substitute group vs. 26.6% in the control group) or severity between the two groups.
  • The conclusion suggests that long-term use of the salt substitute did not alleviate headaches, indicating that sodium reduction alone may not be effective for headache management.
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Two recent large trials showed the potential of single pill combinations (SPCs) with ≥3 low-dose components among people with hypertension who were untreated or receiving monotherapy. In both trials, these 'hypertension polypills' were superior to usual care, achieving >80% BP control without increasing withdrawal due to side effects. However, there are no such products available for prescribers.

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Objective: The overarching aim of this scoping review is to describe and analyze the scope of use and reporting of Bayesian methods in meta-analyses in biomedical research.

Introduction: The Bayesian approach provides a powerful and flexible framework for meta-analysis, particularly suited for dealing with complex, sparse, or heterogeneous data. Due to these advantages and its appeal, Bayesian methods have been increasingly used in many areas of biomedical research; however, their use in meta-analysis remains scarce.

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BACKGROUND: Optimal thromboprophylaxis for hospitalized patients with coronavirus disease 2019 (Covid-19) is uncertain. METHODS: In an open-label, adaptive platform trial, we randomly assigned hospitalized adults with Covid-19 to low-dose low-molecular-weight heparin thromboprophylaxis or intermediate-dose or low-dose plus aspirin. In response to external evidence, the aspirin intervention was discontinued and a therapeutic-dose arm added.

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Background: The effects of seasonal influenza vaccination on cardiovascular disease (CVD) outcomes, including among individuals with established CVD, are uncertain.

Methods: To evaluate the efficacy and safety of influenza vaccines compared to no vaccines or placebo for preventing all-cause/CVD mortality or all-cause/CVD hospitalization in the general population and in populations with pre-existing CVD, we conducted a living systematic review (LSR) and prospective meta-analysis (PMA). Published randomized controlled trials (RCT) and observational studies between 1994 and 2023 were searched.

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Objective: The optimal target for blood glucose concentration in critically ill patients is unclear. We will perform a systematic review and meta-analysis with aggregated and individual patient data from randomized controlled trials, comparing intensive glucose control with liberal glucose control in critically ill adults.

Data Sources: MEDLINE®, Embase, the Cochrane Central Register of Clinical Trials, and clinical trials registries (World Health Organization, clinical trials.

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Background: As new therapeutic options become available, better understanding the potential impact of emerging therapies on clinical outcomes of hepatits D virus (HDV) is critical.

Objective: The aim of this study was to develop a natural history model for patients with hepatitis D virus.

Methods: We developed a model (decision tree followed by a Markov cohort model) in adults with chronic HDV infection to assess the natural history and impact of novel treatments on disease progression versus best supportive care (BSC).

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