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  1. Masood M, Aggarwal A, Reidpath DD
    BMC Public Health, 2019 Sep 03;19(1):1212.
    PMID: 31481044 DOI: 10.1186/s12889-019-7536-0
    BACKGROUND: To investigate the association between national culture and national BMI in 53 low-middle- and high-income countries.

    METHODS: Data from World Health Survey conducted in 2002-2004 in low-middle- and high-income countries were used. Participants aged 18 years and over were selected using multistage, stratified cluster sampling. BMI was used as an outcome variable. Culture of the countries was measured using Hofstede's cultural dimensions: Uncertainty avoidance, individualism, Power Distance and masculinity. The potential determinants of individual-level BMI were participants' sex, age, marital status, education, occupation as well as household-wealth and location (rural/urban) at the individual-level. The country-level factors used were average national income (GNI-PPP), income inequality (Gini-index) and Hofstede's cultural dimensions. A two-level random-intercepts and fixed-slopes model structure with individuals nested within countries were fitted, treating BMI as a continuous outcome variable.

    RESULTS: A sample of 156,192 people from 53 countries was included in this analysis. The design-based (weighted) mean BMI (SE) in these 53 countries was 23.95(0.08). Uncertainty avoidance (UAI) and individualism (IDV) were significantly associated with BMI, showing that people in more individualistic or high uncertainty avoidance countries had higher BMI than collectivist or low uncertainty avoidance ones. This model explained that one unit increase in UAI or IDV was associated with 0.03 unit increase in BMI. Power distance and masculinity were not associated with BMI of the people. National level Income was also significantly associated with individual-level BMI.

    CONCLUSION: National culture has a substantial association with BMI of the individuals in the country. This association is important for understanding the pattern of obesity or overweight across different cultures and countries. It is also important to recognise the importance of the association of culture and BMI in developing public health interventions to reduce obesity or overweight.

  2. Lewison G, Hussain SF, Guo P, Harding R, Mukherji D, Sittah GA, et al.
    Ecancermedicalscience, 2020;14:1094.
    PMID: 33014136 DOI: 10.3332/ecancer.2020.1094
    Background and objectives: The 57 countries of the Organisation of Islamic Cooperation (OIC) are experiencing rapid increases in their burden of cancer. The First Ladies Against Cancer meeting at the 2016 OIC meeting in Istanbul committed to the importance of cancer control and the need for more evidence to support national cancer control planning (NCCP). Strong research systems are a crucial aspect of NCCP, but few data exist to support policy-makers across this political grouping.

    Methodology: We identified all cancer research papers from OIC countries in the Web of Science from 2008 to 2017 with a filter based on journal names and title words, with high precision and recall. We analysed the country outputs, the cancer sites investigated, the types of research, sources of funding and the citations to the papers.

    Results: There were 49,712 cancer research papers over this period. The leading countries in terms of output were Turkey, Iran, Egypt and Malaysia, but the most cited papers were from Qatar, Indonesia and Saudi Arabia. International collaboration was low, except in Qatar and the United Arab Emirates. The site-specific cancers accounting for most research were breast and blood, correlating with their disease burden in the OIC countries, but lung, cervical and oesophageal cancers were relatively under-researched. Most funding from within the OIC countries was from their own university sector.

    Conclusion: Cancer is seriously under-researched in most of the OIC countries. This will undermine the ability of these countries and OIC as a whole to deliver on better cancer control for their populations. New policies, OIC leadership and funding are urgently needed to address this situation.

  3. Dodkins J, Hopman WM, Wells JC, Lievens Y, Malik RA, Pramesh CS, et al.
    PMID: 35151802 DOI: 10.1016/j.ijrobp.2022.01.053
    PURPOSE: Randomized control trials (RCTs) are the cornerstone of delivering sustained improvements in cancer outcome. To inform radiotherapy research policy and prioritization, we analyze the radiotherapy RCT landscape including comparison with trials of systemic therapies over the same time period, with a specific focus on funding and disparities across income settings.

    METHODS AND MATERIALS: This retrospective cohort study identified all phase three RCTs evaluating anticancer therapies published from 2014 to 2017. RCTs were classified according to anticancer modality and country of origin. Descriptive statistics were used to compare key characteristics of radiotherapy RCT studies according to study design characteristics, tumor types evaluated, types of intervention appraised, treatment intent and main funding sources.

    RESULTS: The study cohort included 694 RCTs of which 64 were radiotherapy RCTs (9%) compared to 601 (87%) systemic therapy RCTs. 47% of all radiotherapy RCTs focused on two areas of evaluation; combining radiotherapy with systemic agents (25%) and changes in dose fractionation (22%). The most common cancers studied were head and neck (22%), lung (22%) and breast (14%) with cervical cancer trials only representing 3% of the cohort. 33% of radiotherapy RCTs met their primary end point. 62% of radiotherapy RCTs assessed interventions in the curative setting compared to 31% in systemic therapy RCTs. 77% of the radiotherapy RCTs were performed in high-income countries (HIC), 13% in low-and-middle-income countries (LMIC) and 11% in both HIC and LMICs. 17% of radiotherapy RCTs received funding from industry compared to 79% of systemic therapy RCTs.

    CONCLUSION: This study has highlighted the need for greater investment in radiotherapy RCTs and the disparities in conduct of RCTs globally. The study emphases the urgent need for more capacity building for cancer clinical trials in LMICs and more sustainable funding sources.

  4. Chockalingam A, Kumar S, Ferrer MS, Gajagowni S, Isaac M, Karuparthi P, et al.
    Explore (NY), 2021 12 23;18(6):714-718.
    PMID: 34987003 DOI: 10.1016/j.explore.2021.12.003
    BACKGROUND: Morbid obesity (BMI > 35 kg/m2 with comorbid conditions) is present in 25 - 35% of acute decompensated heart failure (AHF) patients. Prevalence of HF increases with duration of morbid obesity from 30% at 15 years to over 90% at 30 years. There is a need to develop pragmatic therapies that address the unique physical and mental challenges faced by obese AHF patients. Siddha is 5,000 year old Tamil Medicine using yoga and mind-body methods towards higher consciousness. Hunger gratitude Experience (HUGE) is intuitive Siddha fasting method which may improve in-hospital AHF outcomes independent of weight reduction.

    CASE SUMMARY: We present 5 cases of morbidly obese patients with cardiorenal syndrome (CRS) that began intermittent fasting either during their AHF hospitalization or in the outpatient setting for refractory symptoms despite hospitalization. Initiation of fasting correlated with reduction of respiratory distress and edema as well as improvements in psychological wellbeing and functional capacity.

    DISCUSSION: Siddha fasting mediates hemodynamic and anti-inflammatory effects through natural ketosis and psychological benefits through empowerment in AHF. Potential role of fasting in reducing myocardial workload, coronary steal, angina, volume overload, and CRS needs further study in cardiac patients.

  5. Yusuf A, Sarfati D, Booth CM, Pramesh CS, Lombe D, Aggarwal A, et al.
    Lancet Oncol, 2021 06;22(6):749-751.
    PMID: 33930324 DOI: 10.1016/S1470-2045(21)00244-8
  6. Tam LS, Wei JC, Aggarwal A, Baek HJ, Cheung PP, Chiowchanwisawakit P, et al.
    Int J Rheum Dis, 2019 Mar;22(3):340-356.
    PMID: 30816645 DOI: 10.1111/1756-185X.13510
    INTRODUCTION: Despite the availability of axial spondyloarthritis (SpA) recommendations proposed by various rheumatology societies, we considered that a region-specific guideline was of substantial added value to clinicians of the Asia-Pacific region, given the wide variations in predisposition to infections and other patient factors, local practice patterns, and access to treatment across countries.

    MATERIALS AND METHODS: Systematic reviews were undertaken of English-language articles published between 2000 and 2016, identified from MEDLINE using PubMed, EMBASE and Cochrane databases. The strength of available evidence was graded using the Grading of Recommendations, Assessment, Development and Evaluations (GRADE) approach. Recommendations were developed through consensus using the Delphi technique.

    RESULTS: Fourteen axial SpA treatment recommendations were developed based on evidence summaries and consensus. The first 2 recommendations cover non-pharmacological approaches to management. Recommendations 3 to 5 describe the following: the use of non-steroidal anti-inflammatory drugs as first-line symptomatic treatment; the avoidance of long-term corticosteroid use; and the utility of conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs) for peripheral or extra-articular manifestations. Recommendation 6 refers to the indications for biological DMARDs (bDMARDs). Recommendation 7 deals specifically with screening for infections endemic to Asia, prior to use of bDMARDs. Recommendations 7 to 13 cover the role of bDMARDs in the treatment of active axial SpA and include related issues such as continuing therapy and use in special populations. Recommendation 14 deals with the utility of surgical intervention in axial SpA.

    CONCLUSION: These recommendations provide up-to-date guidance for treatment of axial SpA to help meet the needs of patients and clinicians in the Asia-Pacific region.

  7. Aggarwal A, Court LE, Hoskin P, Jacques I, Kroiss M, Laskar S, et al.
    BMJ Open, 2023 Dec 07;13(12):e077253.
    PMID: 38149419 DOI: 10.1136/bmjopen-2023-077253
    INTRODUCTION: Fifty per cent of patients with cancer require radiotherapy during their disease course, however, only 10%-40% of patients in low-income and middle-income countries (LMICs) have access to it. A shortfall in specialised workforce has been identified as the most significant barrier to expanding radiotherapy capacity. Artificial intelligence (AI)-based software has been developed to automate both the delineation of anatomical target structures and the definition of the position, size and shape of the radiation beams. Proposed advantages include improved treatment accuracy, as well as a reduction in the time (from weeks to minutes) and human resources needed to deliver radiotherapy.

    METHODS: ARCHERY is a non-randomised prospective study to evaluate the quality and economic impact of AI-based automated radiotherapy treatment planning for cervical, head and neck, and prostate cancers, which are endemic in LMICs, and for which radiotherapy is the primary curative treatment modality. The sample size of 990 patients (330 for each cancer type) has been calculated based on an estimated 95% treatment plan acceptability rate. Time and cost savings will be analysed as secondary outcome measures using the time-driven activity-based costing model. The 48-month study will take place in six public sector cancer hospitals in India (n=2), Jordan (n=1), Malaysia (n=1) and South Africa (n=2) to support implementation of the software in LMICs.

    ETHICS AND DISSEMINATION: The study has received ethical approval from University College London (UCL) and each of the six study sites. If the study objectives are met, the AI-based software will be offered as a not-for-profit web service to public sector state hospitals in LMICs to support expansion of high quality radiotherapy capacity, improving access to and affordability of this key modality of cancer cure and control. Public and policy engagement plans will involve patients as key partners.

  8. McLeod M, Torode J, Leung K, Bhoo-Pathy N, Booth C, Chakowa J, et al.
    Lancet Oncol, 2024 Feb;25(2):e63-e72.
    PMID: 38301704 DOI: 10.1016/S1470-2045(23)00568-5
    This Policy Review sourced opinions from experts in cancer care across low-income and middle-income countries (LMICs) to build consensus around high-priority measures of care quality. A comprehensive list of quality indicators in medical, radiation, and surgical oncology was identified from systematic literature reviews. A modified Delphi study consisting of three 90-min workshops and two international electronic surveys integrating a global range of key clinical, policy, and research leaders was used to derive consensus on cancer quality indicators that would be both feasible to collect and were high priority for cancer care systems in LMICs. Workshop participants narrowed the list of 216 quality indicators from the literature review to 34 for inclusion in the subsequent surveys. Experts' responses to the surveys showed consensus around nine high-priority quality indicators for measuring the quality of hospital-based cancer care in LMICs. These quality indicators focus on important processes of care delivery from accurate diagnosis (eg, histologic diagnosis via biopsy and TNM staging) to adequate, timely, and appropriate treatment (eg, completion of radiotherapy and appropriate surgical intervention). The core indicators selected could be used to implement systems of feedback and quality improvement.
  9. Jain L, Pradhan S, Aggarwal A, Padhi BK, Itumalla R, Khatib MN, et al.
    JMIR Public Health Surveill, 2024 May 24;10:e41567.
    PMID: 38787607 DOI: 10.2196/41567
    BACKGROUND: Undernutrition among children younger than 5 years is a subtle indicator of a country's health and economic status. Despite substantial macroeconomic progress in India, undernutrition remains a significant burden with geographical variations, compounded by poor access to water, sanitation, and hygiene services.

    OBJECTIVE: This study aimed to explore the spatial trends of child growth failure (CGF) indicators and their association with household sanitation practices in India.

    METHODS: We used data from the Indian Demographic and Health Surveys spanning 1998-2021. District-level CGF indicators (stunting, wasting, and underweight) were cross-referenced with sanitation and sociodemographic characteristics. Global Moran I and Local Indicator of Spatial Association were used to detect spatial clustering of the indicators. Spatial regression models were used to evaluate the significant determinants of CGF indicators.

    RESULTS: Our study showed a decreasing trend in stunting (44.9%-38.4%) and underweight (46.7%-35.7%) but an increasing prevalence of wasting (15.7%-21.0%) over 15 years. The positive values of Moran I between 1998 and 2021 indicate the presence of spatial autocorrelation. Geographic clustering was consistently observed in the states of Madhya Pradesh, Jharkhand, Odisha, Uttar Pradesh, Chhattisgarh, West Bengal, Rajasthan, Bihar, and Gujarat. Improved sanitation facilities, a higher wealth index, and advanced maternal education status showed a significant association in reducing stunting. Relative risk maps identified hotspots of CGF health outcomes, which could be targeted for future interventions.

    CONCLUSIONS: Despite numerous policies and programs, malnutrition remains a concern. Its multifaceted causes demand coordinated and sustained interventions that go above and beyond the usual. Identifying hotspot locations will aid in developing control methods for achieving objectives in target areas.

  10. Chalhoub NE, Wenderfer SE, Levy DM, Rouster-Stevens K, Aggarwal A, Savani SI, et al.
    Arthritis Rheumatol, 2022 Feb;74(2):263-273.
    PMID: 34279063 DOI: 10.1002/art.41930
    OBJECTIVE: To develop a standardized steroid dosing regimen (SSR) for physicians treating childhood-onset systemic lupus erythematosus (SLE) complicated by lupus nephritis (LN), using consensus formation methodology.

    METHODS: Parameters influencing corticosteroid (CS) dosing were identified (step 1). Data from children with proliferative LN were used to generate patient profiles (step 2). Physicians rated changes in renal and extrarenal childhood-onset SLE activity between 2 consecutive visits and proposed CS dosing (step 3). The SSR was developed using patient profile ratings (step 4), with refinements achieved in a physician focus group (step 5). A second type of patient profile describing the course of childhood-onset SLE for ≥4 months since kidney biopsy was rated to validate the SSR-recommended oral and intravenous (IV) CS dosages (step 6). Patient profile adjudication was based on majority ratings for both renal and extrarenal disease courses, and consensus level was set at 80%.

    RESULTS: Degree of proteinuria, estimated glomerular filtration rate, changes in renal and extrarenal disease activity, and time since kidney biopsy influenced CS dosing (steps 1 and 2). Considering these parameters in 5,056 patient profile ratings from 103 raters, and renal and extrarenal course definitions, CS dosing rules of the SSR were developed (steps 3-5). Validation of the SSR for up to 6 months post-kidney biopsy was achieved with 1,838 patient profile ratings from 60 raters who achieved consensus for oral and IV CS dosage in accordance with the SSR (step 6).

    CONCLUSION: The SSR represents an international consensus on CS dosing for use in patients with childhood-onset SLE and proliferative LN. The SSR is anticipated to be used for clinical care and to standardize CS dosage during clinical trials.

  11. Aad G, Abbott B, Abeling K, Abicht NJ, Abidi SH, Aboulhorma A, et al.
    Phys Rev Lett, 2024 Jan 12;132(2):021803.
    PMID: 38277607 DOI: 10.1103/PhysRevLett.132.021803
    The first evidence for the Higgs boson decay to a Z boson and a photon is presented, with a statistical significance of 3.4 standard deviations. The result is derived from a combined analysis of the searches performed by the ATLAS and CMS Collaborations with proton-proton collision datasets collected at the CERN Large Hadron Collider (LHC) from 2015 to 2018. These correspond to integrated luminosities of around 140  fb^{-1} for each experiment, at a center-of-mass energy of 13 TeV. The measured signal yield is 2.2±0.7 times the standard model prediction, and agrees with the theoretical expectation within 1.9 standard deviations.
  12. Hayrapetyan A, Tumasyan A, Adam W, Andrejkovic JW, Bergauer T, Chatterjee S, et al.
    Phys Rev Lett, 2024 Jun 28;132(26):261902.
    PMID: 38996325 DOI: 10.1103/PhysRevLett.132.261902
    A combination of fifteen top quark mass measurements performed by the ATLAS and CMS experiments at the LHC is presented. The datasets used correspond to an integrated luminosity of up to 5 and 20  fb^{-1} of proton-proton collisions at center-of-mass energies of 7 and 8 TeV, respectively. The combination includes measurements in top quark pair events that exploit both the semileptonic and hadronic decays of the top quark, and a measurement using events enriched in single top quark production via the electroweak t channel. The combination accounts for the correlations between measurements and achieves an improvement in the total uncertainty of 31% relative to the most precise input measurement. The result is m_{t}=172.52±0.14(stat)±0.30(syst)  GeV, with a total uncertainty of 0.33 GeV.
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