The Lancet regional health. Southeast Asia最新文献

{"title":"Corrigendum to ““Miles to go before I seek”: distance to the health facility and health care use among older adults in India” [The Lancet Regional Health Southeast Asia. Volume 37, 100579, April 2025]","authors":"Sheuli Misra , Jeetendra Yadav , Abhinav Sinha , Krushna Chandra Sahoo , Shweta Tanwar , Sneh Shalini , Arohi Chauhan , Sanghamitra Pati","doi":"10.1016/j.lansea.2025.100702","DOIUrl":"10.1016/j.lansea.2025.100702","url":null,"abstract":"","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"45 ","pages":"Article 100702"},"PeriodicalIF":6.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147286627","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":"Performance and utility of contact tracing for COVID-19 in the WHO South-East Asia Region: implications for future pandemic preparedness","authors":"Melanie Bannister-Tyrrell ,&nbsp;Kirsty Teague ,&nbsp;Daniel Ll Strachan ,&nbsp;Anna Barrett ,&nbsp;Tiara Marthias ,&nbsp;Clare E. Strachan ,&nbsp;Pawinee Doungngern ,&nbsp;Nishant Thakur ,&nbsp;Mushtofa Kamal ,&nbsp;Hannah Brindle ,&nbsp;Yuka Jinnai ,&nbsp;Masaya Kato ,&nbsp;Florian Vogt","doi":"10.1016/j.lansea.2026.100728","DOIUrl":"10.1016/j.lansea.2026.100728","url":null,"abstract":"<div><div>Contact tracing was widely implemented during the COVID-19 pandemic, but its real-world performance and utility for decision-making remain poorly understood. A qualitative study was conducted to appraise the performance and utility of contact tracing for COVID-19 in the WHO South-East Asia Region, based on interviews with government and non-governmental organisation technical staff and decision makers in Indonesia, Nepal and Thailand. Our findings highlight the good performance of contact tracing when sufficiently resourced and when case load is low, but reveal declining utility as case incidence increases. This study presents key definitions and a pragmatic approach for appraising contact tracing performance and utility throughout a major health emergency response. Countries should prospectively define objectives for contact tracing, establish monitoring and evaluation frameworks, adjust their contact tracing approaches informed by risk assessments, and consider other available public health interventions when its performance and utility decline.</div></div><div><h3>Funding</h3><div><span>Governments of Germany and Australia</span>.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"45 ","pages":"Article 100728"},"PeriodicalIF":6.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230018","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":"Long term outcomes of the Indian childhood cancer survivorship (C2S) cohort: a multicentre study (2016–2024)","authors":"Rachna Seth ,&nbsp;Gauri Kapoor ,&nbsp;Nirmalya Roy Moulik ,&nbsp;Prakruthi Kaushik ,&nbsp;Nishant Verma ,&nbsp;Amita Mahajan ,&nbsp;Priyakumari T ,&nbsp;Nita Radhakrishnan ,&nbsp;Revathi Raj ,&nbsp;Amitabh Singh ,&nbsp;Sujata Sharma ,&nbsp;Venkatraman Radhakrishnan ,&nbsp;Sirishia Rani ,&nbsp;Parthasarathi Bhattacharyya ,&nbsp;Yamini Krishnan ,&nbsp;Piali Mandal ,&nbsp;Emine A. Rahiman ,&nbsp;Prachi Jain ,&nbsp;Debasish Sahoo ,&nbsp;Debabrata Mohapatra ,&nbsp;Ramandeep Arora","doi":"10.1016/j.lansea.2026.100727","DOIUrl":"10.1016/j.lansea.2026.100727","url":null,"abstract":"<div><h3>Background</h3><div>Almost 90% of childhood cancers occur in lower income- and middle-income countries (LMICs) like India, leading to a growing population of cancer survivors. However, data on long-term outcomes and late effects are limited. The Indian Childhood Cancer Survivorship (C2S) Study was envisaged to build a nationwide survivor cohort and systematically capture treatment exposures and long-term outcomes.</div></div><div><h3>Methods</h3><div>The C2S study is a prospective multicentric observational cohort initiated in 2016 under the Indian Pediatric Hematology Oncology Group (InPOG-LE-16-01). Children diagnosed with cancer before 18 years of age and in remission post-treatment were enrolled. Demographic, clinical, and treatment exposure data were collected at respective centres and monitored centrally. Follow-up was conducted every three months, assessing survival, relapse, and abandonment rates.</div></div><div><h3>Findings</h3><div>As of December 2024, the study includes data from 20 centres across India with 5419 survivors being enrolled, with survival data available for 5140. Acute leukemia was the most common diagnosis (40.9%). Common therapeutic exposures included chemotherapy (94.7%), surgery (30.3%), and radiotherapy (26.3%). The 5-year overall survival (OS) and event-free survival (EFS) rates for the entire cohort were 94.5% (95% CI: 93.7–95.3)% and 89.9% (95% CI: 88.8–91.0)%, respectively. For the 2266 survivors with ≥2 years post-treatment follow-up, 5 y-OS and EFS were 98.2 (95% CI: 97.5–98.7)% and 95.7 (95% CI: 94.7–96.6)%, respectively.</div></div><div><h3>Interpretation</h3><div>The C2S study represents the first structured attempt to build a nationwide childhood cancer survivors’ cohort in India. This cohort will serve as a denominator for future research on late effects, support the development of survivorship guidelines, and inform policy planning in India and comparable LMIC settings.</div></div><div><h3>Funding</h3><div>There was no dedicated funding for this study.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"45 ","pages":"Article 100727"},"PeriodicalIF":6.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146204053","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":"Reflection on commentary “Miles to go before I seek: distance to the health facility and health care use among older adults in India”","authors":"Sanjay K. Mohanty ,&nbsp;Abhishek Kumar ,&nbsp;Paul Weiss","doi":"10.1016/j.lansea.2025.100679","DOIUrl":"10.1016/j.lansea.2025.100679","url":null,"abstract":"","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"45 ","pages":"Article 100679"},"PeriodicalIF":6.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147286624","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":"Strategic purchasing of oncology drugs to improve affordability and access to cancer care in India","authors":"Maulik Chokshi ,&nbsp;Oshia Garg","doi":"10.1016/j.lansea.2026.100720","DOIUrl":"10.1016/j.lansea.2026.100720","url":null,"abstract":"<div><div>Cancer is a leading driver of catastrophic health expenditure in India, where medicines constitute more than 60% of out-of-pocket expenditure. Fragmented procurement, inefficient supply chains, market-based pricing, and limited public coverage of novel high-cost therapies exacerbate inequities in access and affordability. To address these challenges, we propose a unified strategic purchasing agenda for cancer medicines in India built on two mutually reinforcing pillars. The first pillar, pooled procurement, aims to reduce prices and correct fragmentation for off-patent and widely used oncology drugs, thereby lowering OOPE and improving availability in both public and empanelled private facilities. Global as well as national level models of pooled procurement have illustrated the gains achievable through collective bargaining, demand consolidation, and transparent processes. Complementing this, the second pillar, value-based pricing, seeks to align the prices of high-cost, often patented therapies with their incremental clinical and societal value, through systematic use of HTA and, where feasible, managed entry agreements and reimbursement reforms. Together, these mechanisms offer a complementary pathway to mitigate financial toxicity and strengthen progress toward Universal Health Coverage in India.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"45 ","pages":"Article 100720"},"PeriodicalIF":6.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147286664","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":"The limitations and fallacies of relying on glycosylated hemoglobin for diagnosing and monitoring diabetes in Indian populations","authors":"Shambo Samrat Samajdar ,&nbsp;Shashank R. Joshi ,&nbsp;Anoop Misra ,&nbsp;Naval K. Vikram","doi":"10.1016/j.lansea.2026.100724","DOIUrl":"10.1016/j.lansea.2026.100724","url":null,"abstract":"<div><div>Glycated hemoglobin (HbA1c) is commonly used to diagnose and monitor type 2 diabetes (T2D). However, in South Asia—particularly India—the high prevalence of anemia, hemoglobinopathies, and glucose-6-phosphate dehydrogenase (G6PD) deficiency, and poorly standardized HbA1c assay methods complicates the interpretation of HbA1c values, challenging its reliability in both diagnosis and monitoring of diabetes. Overall, reliance solely on HbA1c is constrained by several clinical and biological factors in India. A multiparametric, risk-stratified approach that integrates oral glucose tolerance test, self-monitoring of blood glucose, and whenever possible, continuous glucose monitoring, in addition to relevant hematologic assessments are essential to enhance diagnostic and monitoring accuracy and inform appropriate treatment decisions, especially in primary care and resource-limited settings.</div></div><div><h3>Funding</h3><div>No funding was received for this work.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"45 ","pages":"Article 100724"},"PeriodicalIF":6.2,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147313357","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":"Neurodevelopmental disorders in south Asia: closing the evidence gap","authors":"The Lancet Regional Health – Southeast Asia","doi":"10.1016/j.lansea.2026.100716","DOIUrl":"10.1016/j.lansea.2026.100716","url":null,"abstract":"","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"44 ","pages":"Article 100716"},"PeriodicalIF":6.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977228","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":"Research priorities for suicide prevention in Southeast Asia","authors":"Sandersan Onie ,&nbsp;Vikas Menon ,&nbsp;Rakhi Dandona ,&nbsp;Prakarn Thomyangkoon ,&nbsp;Anish V. Cherian ,&nbsp;Lakshmi Vijayakumar ,&nbsp;Soumitra Pathare","doi":"10.1016/j.lansea.2026.100718","DOIUrl":"10.1016/j.lansea.2026.100718","url":null,"abstract":"<div><div>Suicide remains a leading cause of preventable mortality in Southeast Asia (SEA), a region that bears a disproportionate share of the global suicide burden yet remains underrepresented in research, funding, and policy attention. In this article, we articulate ten priority research areas for suicide prevention across SEA, informed by surveys, workshops, and roundtable discussions convened around a regional forum, to guide key stakeholders including shaping funding calls, journal editorial focus, and interagency action. These priorities include strengthening suicide surveillance and data integration; embedding social determinants such as poverty, debt, gender inequity, and interpersonal violence into prevention frameworks; advancing family- and community-based approaches; integrating cultural, spiritual, and historical contexts; addressing alcohol and substance use; responding to youth suicide and online environments; addressing mental health needs; strengthening implementation science to adapt and evaluate interventions with fidelity; and improving translation of evidence into policy. Advancing this coordinated priority research agenda is essential to progress toward regional global reduction targets, by ensuring the research and funding ecosystem focuses the unique context of the SEA region.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"44 ","pages":"Article 100718"},"PeriodicalIF":6.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977336","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":"Zero leprosy is within reach: eliminating leprosy in low-endemic settings demands political will","authors":"Anil Fastenau","doi":"10.1016/j.lansea.2025.100703","DOIUrl":"10.1016/j.lansea.2025.100703","url":null,"abstract":"","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"44 ","pages":"Article 100703"},"PeriodicalIF":6.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145690498","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":"Integration of clinical data with scanned ECGs using deep learning methods for stroke risk prediction in Indian patients with atrial fibrillation: evidence from the KERALA-AF study","authors":"Qinkai Yu ,&nbsp;Jinbert L. Azariah ,&nbsp;Z. Sajan Ahmad ,&nbsp;Rajappan Anilkumar ,&nbsp;Peter Calvert ,&nbsp;Yang Chen ,&nbsp;Yalin Zheng ,&nbsp;Yanda Meng ,&nbsp;Bahuleyan Charantharayil Gopalan ,&nbsp;Gregory Y.H. Lip","doi":"10.1016/j.lansea.2025.100715","DOIUrl":"10.1016/j.lansea.2025.100715","url":null,"abstract":"<div><h3>Background</h3><div>Stroke risk stratification in patients with atrial fibrillation (AF) is challenging, particularly in under-represented South Asian populations. The use of a multimodal deep-learning artificial intelligence (AI) model, which integrates clinical data with widely available paper electrocardiogram (ECG) images, represents a novel predictive approach that has not previously been validated in this population.</div></div><div><h3>Methods</h3><div>This study used data from the prospective KERALA-AF registry, the largest prospective AF study in South Asia. We developed a multimodal deep-learning AI model to predict incident stroke within one year by combining tabular clinical data with scanned paper ECGs. We benchmarked its performance (AUC) against machine learning (ML) models using only clinical data and the CHA₂DS₂-VASc score.</div></div><div><h3>Findings</h3><div>Of 631 patients included (mean age 64.4, SD 12.9; 54.2% female), 25 (4.0%) experienced a stroke within one year. The multimodal deep learning AI model incorporating ECG data achieved the highest discrimination (AUC 0.816, 95% CI 0.704–0.914), substantially outperforming the CHA₂DS₂-VASc score (AUC 0.666) and all compared machine learning models trained on clinical data alone. Permutation analysis showed the scanned paper ECG images contributed 57.1% of the model's predictive signal, which boosted the model's performance significantly.</div></div><div><h3>Interpretation</h3><div>Integrating scanned paper ECGs with clinical data via deep learning methods significantly enhanced 1-year stroke clinical risk prediction in South Asian AF patients. This study demonstrates the value of using multimodal AI with readily available, non-digital data in improving clinical risk stratification beyond current approaches based on clinical risk factors alone.</div></div><div><h3>Funding</h3><div><span>Kerala Chapter of Cardiological Society of India</span>.</div></div>","PeriodicalId":75136,"journal":{"name":"The Lancet regional health. Southeast Asia","volume":"44 ","pages":"Article 100715"},"PeriodicalIF":6.2,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977225","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}