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  1. 489221
    “…BACKGROUND: Hypertension holds a unique place in population health and health care because it is the leading cause of cardiovascular disease and the most common noncommunicable condition seen in primary care worldwide. …”
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    Diagnosis, Prevalence, Awareness, Treatment, Prevention, and Control of Hypertension in Cameroon: Protocol for a Systematic Review and Meta-Analysis of Clinic-Based and Community-Based Studies
  2. 489222
    por Molnos, Sophie, Wahl, Simone, Haid, Mark, Eekhoff, E. Marelise W., Pool, René, Floegel, Anna, Deelen, Joris, Much, Daniela, Prehn, Cornelia, Breier, Michaela, Draisma, Harmen H., van Leeuwen, Nienke, Simonis-Bik, Annemarie M. C., Jonsson, Anna, Willemsen, Gonneke, Bernigau, Wolfgang, Wang-Sattler, Rui, Suhre, Karsten, Peters, Annette, Thorand, Barbara, Herder, Christian, Rathmann, Wolfgang, Roden, Michael, Gieger, Christian, Kramer, Mark H. H., van Heemst, Diana, Pedersen, Helle K., Gudmundsdottir, Valborg, Schulze, Matthias B., Pischon, Tobias, de Geus, Eco J. C., Boeing, Heiner, Boomsma, Dorret I., Ziegler, Anette G., Slagboom, P. Eline, Hummel, Sandra, Beekman, Marian, Grallert, Harald, Brunak, Søren, McCarthy, Mark I., Gupta, Ramneek, Pearson, Ewan R., Adamski, Jerzy, ’t Hart, Leen M.
    Publicado 2017
    “…Furthermore, Val_PC ae C32:2 predicted incident diabetes independent of established risk factors in two epidemiological cohort studies (HR(Val_PC ae C32:2) 1.57 [β 0.45 ± 0.06]; p = 1.3 × 10(−15)), leading to modest improvements in the receiver operating characteristics when added to a model containing a set of established risk factors in both cohorts (increases from 0.780 to 0.801 and from 0.862 to 0.865 respectively, when added to the model containing traditional risk factors + glucose). …”
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    Metabolite ratios as potential biomarkers for type 2 diabetes: a DIRECT study
  3. 489223
    por Reiner, Robert C., Olsen, Helen Elizabeth, Ikeda, Chad Thomas, Echko, Michelle M., Ballestreros, Katherine E., Manguerra, Helen, Martopullo, Ira, Millear, Anoushka, Shields, Chloe, Smith, Alison, Strub, Bryan, Abebe, Molla, Abebe, Zegeye, Adhena, Beyene Meressa, Adhikari, Tara Ballav, Akibu, Mohammed, Al-Raddadi, Rajaa M., Alvis-Guzman, Nelson, Antonio, Carl Abelardo T., Aremu, Olatunde, Asgedom, Solomon Weldegebreal, Asseffa, Netsanet Abera, Avila-Burgos, Leticia, Barac, Aleksandra, Bärnighausen, Till W., Bassat, Quique, Bensenor, Isabela M., Bhutta, Zulfiqar A., Bijani, Ali, Bililign, Nigus, Cahuana-Hurtado, Lucero, Malta, Deborah Carvalho, Chang, Jung-Chen, Charlson, Fiona J., Dharmaratne, Samath Dhamminda, Doku, David Teye, Edessa, Dumessa, El-Khatib, Ziad, Erskine, Holly E., Ferrari, Alize J., Fullman, Nancy, Gupta, Rahul, Hassen, Hamid Yimam, Hay, Simon I., Ilesanmi, Olayinka Stephen, Jacobsen, Kathryn H., Kahsay, Amaha, Kasaeian, Amir, Kassa, Tesfaye Dessale, Kebede, Seifu, Khader, Yousef Saleh, Khan, Ejaz Ahmad, Khan, Mohammed Nuruzzaman, Khang, Young-Ho, Khubchandani, Jagdish, Kinfu, Yohannes, Kochhar, Sonali, Kokubo, Yoshihiro, Koyanagi, Ai, Defo, Barthelemy Kuate, Lal, Dharmesh Kumar, Kumsa, Fekede Asefa, Larson, Heidi J., Leung, Janni, Mamun, Abdullah A., Mehata, Suresh, Melku, Mulugeta, Mendoza, Walter, Mezgebe, Haftay Berhane, Miller, Ted R., Moges, Nurilign Abebe, Mohammed, Shafiu, Mokdad, Ali H., Monasta, Lorenzo, Neupane, Subas, Nguyen, Huong Lan Thi, Ningrum, Dina Nur Anggraini, Nirayo, Yirga Legesse, Nong, Vuong Minh, Ogbo, Felix Akpojene, Olagunju, Andrew T., Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Patton, George C., Pereira, David M., Pourmalek, Farshad, Qorbani, Mostafa, Rafay, Anwar, Rai, Rajesh Kumar, Ram, Usha, Ranabhat, Chhabi Lal, Renzaho, Andre M. N., Rezai, Mohammad Sadegh, Ronfani, Luca, Roth, Gregory A., Safiri, Saeid, Sartorius, Benn, Scott, James G., Shackelford, Katya Anne, Sliwa, Karen, Sreeramareddy, Chandrashekhar, Sufiyan, Mu'awiyyah Bable, Terkawi, Abdullah Sulieman, Topor-Madry, Roman, Tran, Bach Xuan, Ukwaja, Kingsley Nnanna, Uthman, Olalekan A., Vollset, Stein Emil, Weldegwergs, Kidu Gidey, Werdecker, Andrea, Whiteford, Harvey A., Wijeratne, Tissa, Yonemoto, Naohiro, Yotebieng, Marcel, Zuhlke, Liesl J., Kyu, Hmwe Hmwe, Naghavi, Mohsen, Vos, Theo, Murray, Christopher J. L., Kassebaum, Nicholas J.
    Publicado 2019
    “…Progress was uneven, and inequity increased, with low-SDI and low-middle–SDI locations experiencing 82.2% (95% UI, 81.6%-82.9%) of deaths, up from 70.9% (95% UI, 70.4%-71.4%) in 1990. The leading disaggregated causes of disability-adjusted life years in 2017 in the low-SDI quintile were neonatal disorders, lower respiratory infections, diarrhea, malaria, and congenital birth defects, whereas neonatal disorders, congenital birth defects, headache, dermatitis, and anxiety were highest-ranked in the high-SDI quintile. …”
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    Diseases, Injuries, and Risk Factors in Child and Adolescent Health, 1990 to 2017: Findings From the Global Burden of Diseases, Injuries, and Risk Factors 2017 Study
  4. 489224
    “…BACKGROUND: Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by inflammation and joint stiffness, finally leading to tissue destruction. Connective tissue growth factor (CTGF) is a critical factor in RA progression, which promotes fibroblast-like synoviocyte (FLS) proliferation, pannus formation, and the damage of cartilage as well as bone. …”
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    Resolvin D1 suppresses pannus formation via decreasing connective tissue growth factor caused by upregulation of miRNA-146a-5p in rheumatoid arthritis
  5. 489225
    “…Some biological processes may also interact with static magnetic fields (sMF), leading to modulatory effects on cells. Previous studies have verified that the combination of PBMT and sMF (PBMT/sMF) enhances the performance of individuals during aerobic training programs. …”
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    Does the combination of photobiomodulation therapy (PBMT) and static magnetic fields (sMF) potentiate the effects of aerobic endurance training and decrease the loss of performance during detraining? A randomised, triple-blinded, placebo-controlled trial
  6. 489226
    “…There was no statistical difference for FF/UMEC/VI versus FF/VI or UMEC/VI in TTF CVAESI (hazard ratio [HR]: 0.98, 95% confidence interval [CI]: 0.85, 1.11; p = 0.711 and HR: 0.92, 95% CI: 0.78, 1.08; p = 0.317, respectively) nor TTF CVAESI leading to hospitalization/prolonged hospitalization or death (HR: 1.19, 95% CI: 0.93, 1.51; p = 0.167 and HR: 0.96, 95% CI: 0.72, 1.27; p = 0.760, respectively). …”
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    Single-inhaler triple therapy fluticasone furoate/umeclidinium/vilanterol versus fluticasone furoate/vilanterol and umeclidinium/vilanterol in patients with COPD: results on cardiovascular safety from the IMPACT trial
  7. 489227
    “…In Germany the coronavirus diseases 2019 (COVID-19) pandemic has resulted in a slowly growing demand for health care with a sudden occurrence of regional hotspots. This leads to an unpredictable situation for many hospitals, leaving the question of how many bed resources are needed to cope with the surge of COVID-19 patients. …”
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    Bettenkapazitätssteuerung in Zeiten der COVID-19-Pandemie: Eine simulationsbasierte Prognose der Normal- und Intensivstationsbetten anhand der deskriptiven Daten des Universitätsklinikums Augsburg
  8. 489228
    “…In addition, the context of pursuing Universal Health Coverage (UHC) through achieving transformed districts can be enhanced through deploying skilled and knowledgeable leadership, defining clear roles and responsibilities for all stakeholders, forming agreed detailed action plans, and effective communication that leads to additive results and synergy. The twinning partnership implementing districts benefit from the formal relationship and accelerate their performances towards meeting the criteria of transformed districts in Ethiopia. …”
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    Accelerating the performance of district health systems towards achieving UHC via twinning partnerships
  9. 489229
    “…Blockade of the CD47–SIRPα interaction synergizes with tumor-specific antibodies and T-cell checkpoint inhibitors by promoting myeloid-mediated antitumor functions leading to the induction of adaptive immunity. Inhibition of the CD47–SIRPα interaction has focused predominantly on targeting CD47, which is expressed ubiquitously and contributes to the accelerated blood clearance of anti-CD47 therapeutics. …”
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    Targeting the myeloid checkpoint receptor SIRPα potentiates innate and adaptive immune responses to promote anti-tumor activity
  10. 489230
    “…CONCLUSIONS: Empagliflozin treatment of patients with T2D has no significant effect on hemodynamic parameters after 1 or 3 days, nor after 3 months, but leads to rapid and sustained significant improvement of diastolic function. …”
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    Empagliflozin does not change cardiac index nor systemic vascular resistance but rapidly improves left ventricular filling pressure in patients with type 2 diabetes: a randomized controlled study
  11. 489231
    “…HIF-1β is a stable constitutively expressed protein in the nucleus; and under hypoxic changes, its activity is unaffected, whereas the HIF-α subunit has a short half-life and because of its degradation by an enzyme known as propyl hydroxylase; under hypoxic conditions, propyl hydroxylase gets deactivated thus leading to the stabilization of HIF-1α. As mentioned before, HIF-1α expression is triggered by hypoxic states, this crippling condition will aggravate the pro-inflammatory characteristics of HIF-1α. …”
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    Hypoxia-inducible factor (HIF): The link between obesity and COVID-19
  12. 489232
    “…BACKGROUND: Acute respiratory tract infection (ARI) is a leading cause of hospitalization, morbidity, and mortality worldwide. …”
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    Respiratory microbes detected in hospitalized adults with acute respiratory infections: associations between influenza A(H1N1)pdm09 virus and intensive care unit admission or fatal outcome in Vietnam (2015–2017)
  13. 489233
    “…BACKGROUND: Air pollution is one of the world’s leading mortality risk factors contributing to seven million deaths annually. …”
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    Acute and chronic exposure to air pollution in relation with incidence, prevalence, severity and mortality of COVID-19: a rapid systematic review
  14. 489234
    “…In addition, expression of AIF3 significantly increased chromatin condensation and nuclear shrinkage leading to neuronal cell death. However, loss-of-AIF alone in harlequin or gain-of-AIF3 alone in AIF3 knockin mice did not cause robust neurodegeneration as that observed in AIF3 splicing mice. …”
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    AIF3 splicing switch triggers neurodegeneration
  15. 489235
    “…Hepatitis B virus (HBV) infection remains a major health issue worldwide and the leading cause of cirrhosis and hepatocellular carcinoma (HCC). …”
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    Global analysis of HBV-mediated host proteome and ubiquitylome change in HepG2.2.15 human hepatoblastoma cell line
  16. 489236
    “…Using a targeted early composite only leads to reductions of sample size requirements in primary prevention trials. …”
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    Strategies to reduce sample sizes in Alzheimer’s disease primary and secondary prevention trials using longitudinal amyloid PET imaging
  17. 489237
    “…CCI of SRH and mental health were − 0.09 (p < 0.01) and 0.04 (p < 0.01), respectively, indicating pro-poor inequality in ill SRH and pro-rich inequality in ill mental health. Income was the leading contributor to inequalities in SRH and mental health, accounting for 62.7% (p < 0.01) and 39.0% (p < 0.05) of income-related inequalities, respectively. …”
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    Income-related health inequality among Chinese adults during the COVID-19 pandemic: evidence based on an online survey
  18. 489238
    “…In some HW-infected dogs, Ag is blocked by immune complexing leading to false-negative results. Heat-treatment (HT) to disrupt these complexes can increase the sensitivity of HW Ag tests. …”
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    Optimizing heartworm diagnosis in dogs using multiple test combinations
  19. 489239
    “…BACKGROUND: Cancer is a leading cause of death in Korea. To protect the autonomy and dignity of terminally ill patients, the Life-Sustaining Treatment Decision-Making Act (LST-Act) came into full effect in Korea in February 2018. …”
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    Changes in decision-making process for life-sustaining treatment in patients with advanced cancer after the life-sustaining treatment decisions-making act
  20. 489240
    “…BACKGROUND: Duchenne muscular dystrophy (DMD) leads to progressive cardiomyopathy. Detection of myocardial fibrosis with late gadolinium enhancement (LGE) by cardiovascular magnetic resonance (CMR) is critical for clinical management. …”
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    Non-contrast cardiovascular magnetic resonance detection of myocardial fibrosis in Duchenne muscular dystrophy
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