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  1. Calingacion M, Laborte A, Nelson A, Resurreccion A, Concepcion JC, Daygon VD, et al.
    PLoS One, 2014;9(1):e85106.
    PMID: 24454799 DOI: 10.1371/journal.pone.0085106
    With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a 'one size fits all' crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.
  2. Hussain A, Via G, Melniker L, Goffi A, Tavazzi G, Neri L, et al.
    Crit Care, 2020 12 24;24(1):702.
    PMID: 33357240 DOI: 10.1186/s13054-020-03369-5
    COVID-19 has caused great devastation in the past year. Multi-organ point-of-care ultrasound (PoCUS) including lung ultrasound (LUS) and focused cardiac ultrasound (FoCUS) as a clinical adjunct has played a significant role in triaging, diagnosis and medical management of COVID-19 patients. The expert panel from 27 countries and 6 continents with considerable experience of direct application of PoCUS on COVID-19 patients presents evidence-based consensus using GRADE methodology for the quality of evidence and an expedited, modified-Delphi process for the strength of expert consensus. The use of ultrasound is suggested in many clinical situations related to respiratory, cardiovascular and thromboembolic aspects of COVID-19, comparing well with other imaging modalities. The limitations due to insufficient data are highlighted as opportunities for future research.
  3. Prabhakar H, Lele AV, Kapoor I, Mahajan C, Shrestha GS, Rao CV, et al.
    Neurocrit Care, 2025 Feb 07.
    PMID: 39920547 DOI: 10.1007/s12028-025-02210-7
    BACKGROUND: This study aimed to assess the organization, infrastructure, workforce, and adherence to protocols in neurocritical care across low- and middle-income countries (LMICs), with the goal of identifying key gaps and opportunities for improvement.

    METHODS: We conducted a cross-sectional survey of 408 health care providers from 42 LMICs. The survey collected data on the presence of dedicated neurointensive care units, workforce composition, access to critical care technologies, and adherence to evidence-based protocols. Data were analyzed using descriptive statistics, and comparisons were made across different geographical regions (East Asia and the Pacific, Europe and Central Asia, Latin America and the Caribbean, the Middle East and North Africa, and South Asia and sub-Saharan Africa) and economic strata [low-income countries (LICs), lower middle-income countries (LoMICs), and upper middle-income countries (UMICs)].

    RESULTS: Only 36.8% of respondents reported access to dedicated neurointensive care units: highest in the Middle East (100%), lowest in sub-Saharan Africa (11.5%), highest in LoMICs (42%), and lowest in LICs (13%). Access to critical care technologies, such as portable computed tomography scanners (9.3%; UMICs 11%, LICs 0%) and tele-intensive care unit services (14.9%; UMICs 19%, LICs 10%), was limited. Workforce shortages were evident, with many institutions relying on anesthesia residents for 24-h care. Adherence to protocols, including those for acute ischemic stroke (61.7%) and traumatic brain injury (55.6%), was highest in Latin America and the Caribbean (72% and 73%, respectively) and higher in UMICs (66% and 60%, respectively) but remained low in LICs (22% and 32%, respectively).

    CONCLUSIONS: The study highlights critical gaps in infrastructure, workforce, and technology across LMICs, yet it also underscores the potential for improvement. Strategic investments in neurointensive care unit capacity, workforce development, and affordable technologies are an unmet need in resource-limited settings. These findings offer a road map for policymakers and global health stakeholders to prioritize neurocritical care and reduce the disparities in patient outcomes globally.

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