Lancet Regional Health-Americas最新文献

{"title":"The impact of biosimilar use on healthcare utilization among new users of etanercept for inflammatory arthritis: a population-based regression discontinuity analysis","authors":"Vivienne Yuetong Zhou ,&nbsp;Diane Lacaille ,&nbsp;Yufei Zheng ,&nbsp;Yi Qian ,&nbsp;Bohdan Nosyk ,&nbsp;Hui Xie","doi":"10.1016/j.lana.2025.101058","DOIUrl":"10.1016/j.lana.2025.101058","url":null,"abstract":"<div><h3>Background</h3><div>Epidemiological evidence on biosimilars’ real-world performance is limited. On July 18th, 2017, a biosimilar health policy was implemented in British Columbia (BC), Canada, mandating all patients initiating a new biologic medication to be prescribed a biosimilar (if/when available). Exploiting a policy change as a natural experiment, we assessed the real-world impact of biosimilar use for inflammatory arthritis (IA) on health resource utilization as a surrogate marker of real-world effectiveness and safety.</div></div><div><h3>Methods</h3><div>Using administrative health data, we identified all incident etanercept users for IA in BC with initiation dates between 2014 and 2020 (n = 3004) [63·6% female; mean (S.D.) age at IA disease diagnosis 52·5 (16·6) years]. Healthcare utilization over three years after initiation was assessed using outcomes including — physician visits (PV), all-cause hospitalizations (ACH), infection-related hospitalizations (IRH), length of hospital stays (LOS), and emergency room visits (ERV). Using regression discontinuity design, we compared healthcare utilization risk in patients initiating etanercept immediately before/after policy-change date, representing the intention-to-treat effect. Additionally, we estimated the complier average causal effect of biosimilar use with instrumental variable (IV) control function method.</div></div><div><h3>Findings</h3><div>Intention-to-treat analyses showed no significant impact of biosimilar policy implementation on PV, HOSP, IRH, LOS, or ERV, with respective adjusted RRs of 0·96 (95% CI: 0·82–1·12), 0·84 (95% CI: 0·49–1·44), 0·91 (95% CI: 0·21–3·86), 0·94 (95% CI: 0·41–2·15), and 0·91 (95% CI: 0·44–1·88). IV analyses indicated biosimilar use in routine settings did not significantly change healthcare utilization, compared to originator etanercept.</div></div><div><h3>Interpretation</h3><div>No significant impact of biosimilar policy or actual biosimilar use on healthcare utilization was observed, suggesting equivalent real-world effectiveness and safety of biosimilars to originators and no unintended consequences of the policy change.</div></div><div><h3>Funding</h3><div><span>CHIR</span> and <span>NSERC</span>.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101058"},"PeriodicalIF":7.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816015","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of blood sample mishandling on anti-HCV IgG antibodies","authors":"Lihua Yang ,&nbsp;Yongzhi Wang ,&nbsp;Yibo Zhao ,&nbsp;Fangyu Zhang ,&nbsp;Li Guo ,&nbsp;Xiaogang Yan ,&nbsp;Jinghui Zhao","doi":"10.1016/j.lana.2025.101084","DOIUrl":"10.1016/j.lana.2025.101084","url":null,"abstract":"","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"46 ","pages":"Article 101084"},"PeriodicalIF":7.0,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143800009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Type 2 diabetes and cause-specific mortality in Mexico City: a Mendelian randomisation analysis","authors":"Fiona Bragg ,&nbsp;Pablo Kuri-Morales ,&nbsp;Eirini Trichia ,&nbsp;Jason M. Torres ,&nbsp;Paulina Baca ,&nbsp;Adrián Garcilazo-Ávila ,&nbsp;Carlos González-Carballo ,&nbsp;Raul Ramirez-Reyes ,&nbsp;Fernando Rivas ,&nbsp;Diego Aguilar-Ramirez ,&nbsp;Louisa Gnatiuc-Friedrichs ,&nbsp;William G. Herrington ,&nbsp;Michael Hill ,&nbsp;Tianshu Liu ,&nbsp;Alejandra Vergara ,&nbsp;Rachel Wade ,&nbsp;Rory Collins ,&nbsp;Richard Peto ,&nbsp;Jaime Berumen ,&nbsp;Jesus Alegre-Díaz ,&nbsp;Roberto Tapia-Conyer","doi":"10.1016/j.lana.2025.101082","DOIUrl":"10.1016/j.lana.2025.101082","url":null,"abstract":"<div><h3>Background</h3><div>Observational epidemiological studies in Mexico have shown high mortality risks associated with type 2 diabetes (T2D). However, it is unclear whether these relationships are wholly causal. We aimed to assess the association of genetically-predicted T2D liability with risk of death in Mexico.</div></div><div><h3>Methods</h3><div>Between 1998 and 2004, 150,000 men and women were recruited from Mexico City and followed-up until September 2022 for cause-specific mortality. Mendelian randomisation analyses, using a genetic risk score (GRS) comprising 1055 established T2D-associated risk variants, estimated associations with risk of all-cause and cause-specific mortality at ages 35–74.</div></div><div><h3>Findings</h3><div>Among 121,433 included participants with a mean (standard deviation) age of 51 (11), 68% (n = 82,249) were women and 18% (n = 21,371) had T2D. The GRS explained 6.3% of T2D liability and was not associated with major potential confounders of the T2D-mortality relationship. During a median (interquartile range) of 20.2 (19.4–21.4) years’ follow-up, 12,293 participants died. Genetically-predicted T2D liability was associated with a death rate ratio (RR) of 1.29 (95% confidence interval [CI] 1.23–1.36) per trebling in genetically-predicted odds of T2D. There were particularly strong associations with death from renal disease (n = 1696; RR 2.29 [95% CI 1.99–2.64]) and acute diabetic crises (n = 509; RR 2.27 [1.75–2.93]) and weaker, but still strong, associations with death from vascular disease (n = 3226; RR 1.31 [1.19–1.46]) and infection (n = 2437; RR 1.21 [1.07–1.36]). Genetically-predicted T2D liability was not clearly associated with death from cancer (n = 2016; RR 1.00 [95% CI 0.88–1.14]) or cirrhosis (n = 895; RR 0.90 [0.74–1.10]).</div></div><div><h3>Interpretation</h3><div>T2D is causally associated with death from vascular, renal and infectious diseases. Its prevention and effective management could substantially reduce premature deaths in Mexico, where T2D is common.</div></div><div><h3>Funding</h3><div><span>Wellcome Trust</span>, the <span>Mexican Health Ministry</span>, the <span>National Council for Science and Technology (CONACyT)</span> for Mexico, <span>Cancer Research</span> UK, <span>British Heart Foundation</span>, Kidney Research UK, UK <span>Medical Research Council</span>, <span>AstraZeneca</span>, Regeneron.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101082"},"PeriodicalIF":7.0,"publicationDate":"2025-04-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Risk factors for Alzheimer’s disease and cognitive function before middle age in a U.S. representative population-based study","authors":"Allison E. Aiello ,&nbsp;Jennifer Momkus ,&nbsp;Rebecca C. Stebbins ,&nbsp;Yuan S. Zhang ,&nbsp;Chantel L. Martin ,&nbsp;Y. Claire Yang ,&nbsp;Lauren Gaydosh ,&nbsp;Taylor Hargrove ,&nbsp;Adina Zeki Al Hazzouri ,&nbsp;Kathleen Mullan Harris","doi":"10.1016/j.lana.2025.101087","DOIUrl":"10.1016/j.lana.2025.101087","url":null,"abstract":"<div><h3>Background</h3><div>Alzheimer’s disease is a major health concern in the U.S., but most research has focused on older populations. We examined whether established risk factors and blood biomarkers are associated with cognition before midlife.</div></div><div><h3>Methods</h3><div>Data from the National Longitudinal Study of Adolescent to Adult Health (Add Health) were analyzed. Participants were enrolled in 1994–95 (grades 7–12) and followed through 2018. We cross-sectionally analyzed weighted survey and biomarker data from Waves IV and V. We measured the Cardiovascular Risk Factors, Aging, and Incidence of Dementia (CAIDE) score comprised of age, education, sex, systolic blood pressure, body mass index, cholesteroal, and physical activity and apolipoprotein E ε4 allele (APOE ε4) status. We also measured total Tau and Neurofilament light (NfL), high sensitivity C-reactive protein (hsCRP), Interleukin (IL)-1β, IL-6, IL-8, IL-10, and Tumor necrosis factor alpha (TNF-α). Outcomes included immediate word recall, delayed word recall, and backward digit span.</div></div><div><h3>Findings</h3><div>Analytic sample sizes ranged from 4507 to 11,449 participants in Wave IV and from 529 to 1121 participants in Wave V. The survey-weighted median (IQR) age was 28 (26–29) years in Wave IV and 38 (36–29) years in Wave V. About half of the survey-weighted Wave IV participants were female (48.4–52.1% across analytic samples), 71.4–72.5% were White, 12.5–14.9% were Black, and 9.3–10.2% were Hispanic. In Wave V, 43.6–46.8% were female, 68.7–69.3% were White, 17.1%–20.0% were Black, and 7.3%–9.6% were Hispanic. The CAIDE score was associated with all cognition measures in Wave IV. For example, among adults aged 24–34, each 1-point increase in CAIDE was associated with a 0.03 standard deviation lower backward digit span score (95% CI: −0.04, −0.02). Total Tau was associated with immediate word recall in Wave V (β = −0.13, 95% CI: −0.23, −0.04). Wave IV hsCRP and IL-10 and Wave V IL-6, IL-1β, and IL-8 were also associated with lower cognitive scores.</div></div><div><h3>Interpretation</h3><div>Key risk factors for Alzheimer’s Disease are linked to cognitive function as early as ages 24–44, highlighting the need for early prevention in the US.</div></div><div><h3>Funding</h3><div><span>NIH</span> <span><span>P01HD31921</span></span>, <span><span>U01AG071448</span></span>, <span><span>U01AG071450</span></span>, <span><span>R01AG057800</span></span>, <span><span>P30AG066615</span></span>, <span><span>T32HD091058</span></span>, <span><span>P2CHD050924</span></span>.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101087"},"PeriodicalIF":7.0,"publicationDate":"2025-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143776881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Biases inherent in all-cause mortality studies: implications for shaping the 2025–2030 dietary guidelines for Americans on alcohol consumption","authors":"Kevin Shield ,&nbsp;Katherine Keyes ,&nbsp;Priscilla Martinez ,&nbsp;Adam J. Milam ,&nbsp;Jürgen Rehm ,&nbsp;Timothy S. Naimi","doi":"10.1016/j.lana.2025.101083","DOIUrl":"10.1016/j.lana.2025.101083","url":null,"abstract":"","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"46 ","pages":"Article 101083"},"PeriodicalIF":7.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143767959","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal analysis of substance use disorder mortality in the United States: an observational study of emerging hotspots and vulnerable populations (2005–2020)","authors":"Santiago Escobar ,&nbsp;Neil J. MacKinnon ,&nbsp;Preshit Ambade ,&nbsp;Zach Hoffman ,&nbsp;Diego F. Cuadros","doi":"10.1016/j.lana.2025.101075","DOIUrl":"10.1016/j.lana.2025.101075","url":null,"abstract":"<div><h3>Background</h3><div>The escalating substance use disorder (SUD) crisis in the contiguous United States (US), with rising mortality since 1999, necessitates a spatiotemporal analysis to identify high-risk areas and vulnerable populations. This study examines the geospatial distribution and clustering patterns of SUD mortality, assessing disparities by race and urban-rural status.</div></div><div><h3>Methods</h3><div>We analyzed county-level ecological data on SUD-related deaths from the Centers for Disease Control and Prevention (CDC) from 2005 to 2020. Using spatial scan statistics, we identified significant clusters of elevated SUD mortality and assessed shifts over time. The analysis stratified results by race (White and Black subpopulations) and urban-rural classification to explore disparities.</div></div><div><h3>Findings</h3><div>Among 3142 U.S. counties, we identified 27 significant spatiotemporal clusters of elevated SUD mortality, primarily emerging post-2013 and persisting until 2020. The epidemic's epicenter shifted from the western to the eastern U.S. around 2016. Clusters in the White population (n = 26) had an estimated mortality rate of 28.42 per 100,000 person-years (95% confidence interval [CI]: 28.30–28.54), compared to 14.83 per 100,000 person-years (95% CI: 14.74–14.92) outside clusters. For the Black population (n = 17), the mortality rate was 33.16 per 100,000 person-years (95% CI: 32.80–33.51) within clusters, versus 13.36 per 100,000 person-years (95% CI: 13.14–13.59) outside. Clusters in the Black population emerged later, mostly after 2013, while White clusters followed a pattern similar to the general population. The urban SUD mortality rate was 1.30 per 10,000 per year, while the rural mortality rate was 1.03 per 10,000 per year. Within clusters, urban counties had a mortality rate of 1.61 per 10,000, compared to 0.97 per 10,000 outside. Rural counties had 1.43 per 10,000 in clusters, while non-clustered rural areas had 0.81 per 10,000.</div></div><div><h3>Interpretation</h3><div>The shifting geographic and racial patterns of SUD mortality underscore the need for targeted, region-specific interventions. The increasing impact on Black populations and urban centers in the East highlights the importance of equitable access to treatment and harm reduction services. Real-time surveillance and tailored urban-rural strategies are essential to mitigate the evolving crisis.</div></div><div><h3>Funding</h3><div>None.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101075"},"PeriodicalIF":7.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143769266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"COVID-19 impacts on decarceration for Indigenous, Black, and other racialized people in Ontario, Canada: an interrupted time series study","authors":"Akwasi Owusu-Bempah ,&nbsp;Nina Lamberti ,&nbsp;Ruth Croxford ,&nbsp;Beverley Osei ,&nbsp;Amanda Butler ,&nbsp;Ruth Elwood Martin ,&nbsp;Jessica Jurgutis ,&nbsp;Kate McLeod ,&nbsp;Martha Paynter ,&nbsp;Howard Sapers ,&nbsp;Raya Semeniuk ,&nbsp;Fiona G. Kouyoumdjian","doi":"10.1016/j.lana.2025.101088","DOIUrl":"10.1016/j.lana.2025.101088","url":null,"abstract":"<div><h3>Background</h3><div>The COVID-19 pandemic response in many jurisdictions included efforts to depopulate correctional facilities. In the context of the overrepresentation of Indigenous and Black people in Canadian correctional facilities, we aimed to assess COVID-19 impacts on decarceration by race and Indigenous identity in Ontario, Canada.</div></div><div><h3>Methods</h3><div>We accessed correctional administrative data for all people incarcerated in provincial correctional facilities in Ontario, Canada between 2015 and 2022. We categorized people using self-reported data into one of five identity groups: Indigenous, non-Indigenous Black, non-Indigenous non-Black racialized, non-Indigenous white, or missing. We conducted interrupted time series analyses, treating COVID-19 as an event on April 1, 2020, for each of admissions, releases, number of people in custody, and person-time in custody.</div></div><div><h3>Findings</h3><div>Of 148,937 people who experienced incarceration, 85.4% were male and 14.5% were female, the mean age was 35.2 years (SD 12.2), and 11.7% were Indigenous, 12.1% were non-Indigenous Black, 12.1% were non-Indigenous non-Black racialized, and 48.9% were non-Indigenous white. Decarceration in the spring of 2020 benefitted all four race/Indigenous identity groups, with significant decreases in all four decarceration indicators for all groups. There was a significant interaction between COVID-19 decarceration and race/Indigenous identity group for the number of people in custody (p &lt; 0.0001) and person-time in custody (p = 0.042), with decarceration disproportionately benefitting non-Indigenous white people. Compared with the period prior to April 2020, the relative rates of being in custody and of person-time in custody, respectively, were 0.70 (95% CI 0.68–0.73) and 0.73 (95% CI 0.70–0.76) for non-Indigenous white people, lower than those for Indigenous people: 0.76 (95% CI 0.72–0.81) and 0.82 (95% CI 0.76–0.88), non-Indigenous Black people: 0.76 (95% CI 0.74–0.78) and 0.79 (95% CI 0.76–0.81), and non-Indigenous non-Black racialized people: 0.76 (95% CI 0.73–0.79) and 0.79 (95% CI 0.76–0.83).</div></div><div><h3>Interpretation</h3><div>Decarceration in Ontario in 2020 was inequitable, exacerbating the disproportionate exposure of people who are Indigenous and Black to time in custody and to the adverse health impacts associated with incarceration during the COVID-19 pandemic. These findings emphasize the need for targeted strategies to foster equitable health and justice outcomes, including during public health emergencies.</div></div><div><h3>Funding</h3><div>Department of Family Medicine, <span>McMaster University</span>.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101088"},"PeriodicalIF":7.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761065","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of the introduction of a package of care involving early detection of opportunistic infections, a prospective multicenter cohort study of people living with HIV/AIDS in Brazil","authors":"Alessandro C. Pasqualotto ,&nbsp;Omar Sued ,&nbsp;Nicole Reis ,&nbsp;Larissa R. Silva ,&nbsp;Renata B.A. Soares ,&nbsp;Cassia S.M. Godoy ,&nbsp;Marineide G. Melo ,&nbsp;Nayla A. Hatem ,&nbsp;Bruna Regis Razzolini ,&nbsp;Andressa Noal ,&nbsp;Tarsila Vieceli ,&nbsp;Diego R. Falci ,&nbsp;Freddy Perez","doi":"10.1016/j.lana.2025.101085","DOIUrl":"10.1016/j.lana.2025.101085","url":null,"abstract":"<div><h3>Background</h3><div>Opportunistic infections (OIs) significantly contribute to morbidity and mortality in advanced HIV disease. This study evaluates the efficacy of point-of-care (POC) diagnostics for tuberculosis (TB), histoplasmosis, and cryptococcosis in routine HIV care in Brazil.</div></div><div><h3>Methods</h3><div>A prospective multicenter cohort study was conducted across five hospitals enrolling people living with HIV (PLHIV) with CD4+ T-cell count &lt;200 cells/mm³ or OI symptoms, regardless of CD4 count, HIV-naïve patients, those initiating treatment, and individuals with unsuppressed viral load lost to follow-up (&gt;3 months). POC tests included VISITECT CD4 Advanced Disease, TB LAM Ag (Abbott), GeneXpert MTB/RIF (Cepheid), Histoplasma antigen LFA (MiraVista), and CrAg LFA (IMMY). Patients were followed at 30 and 90 days. Retrospective data for six months pre-study was collected for comparison.</div></div><div><h3>Findings</h3><div>Among 419 PLHIV (55% cisgender men, 44% cisgender women, 1% transgender; mean age: 42 years, SD ± 11.1), 46% had confirmed OIs: TB (34%), cryptococcosis (12%), histoplasmosis (10%). Co-infections were frequent, with TB and histoplasmosis (44%). Cryptococcal meningitis and severe histoplasmosis were diagnosed in 5% and 6%, respectively. TB LAM was positive in 27% of tested patients, with 74% having disseminated TB. POC testing increased detection rates for TB, (1.8-fold) cryptococcosis (2.8-fold), and histoplasmosis (2.8-fold) compared to historical data. Survival rates were 87% at 30 days and 80% at 90 days, with cryptococcal antigenemia associated with higher mortality.</div></div><div><h3>Interpretation</h3><div>POC testing improved OI diagnosis, aligning with WHO guidelines. These findings highlight the importance of integrating rapid diagnostics into HIV programs and the need for further research on long-term outcomes.</div></div><div><h3>Funding</h3><div><span>Pan American Health Organization</span>.</div></div>","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101085"},"PeriodicalIF":7.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143761063","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving outcomes in MASLD: the role of H. pylori eradication and lifestyle interventions","authors":"Zhiyi Zhang","doi":"10.1016/j.lana.2025.101066","DOIUrl":"10.1016/j.lana.2025.101066","url":null,"abstract":"","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101066"},"PeriodicalIF":7.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143747108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving outcomes in MASLD: the role of Helicobacter pylori eradication and lifestyle interventions–author's response to Zhang","authors":"Christian S. Alvarez ,&nbsp;M. Constanza Camargo ,&nbsp;M. Larissa Avilés-Santa ,&nbsp;Olga Garcia-Bedoya ,&nbsp;Maria S. Pattany ,&nbsp;Bharat Thyagarajan ,&nbsp;Barry I. Graubard ,&nbsp;Katherine A. McGlynn","doi":"10.1016/j.lana.2025.101080","DOIUrl":"10.1016/j.lana.2025.101080","url":null,"abstract":"","PeriodicalId":29783,"journal":{"name":"Lancet Regional Health-Americas","volume":"45 ","pages":"Article 101080"},"PeriodicalIF":7.0,"publicationDate":"2025-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143746589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}