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  1. 43881

    Exploring and detecting predictors associated with survival and mortality of cervical cancer patients: a 10-year retrospective study by Shaba Muneeha, Raushan Kumar Chaudhary, Vijith Vittal Shetty, Soumya Patil, Uday Venkat Mateti

    Published 2025-02-01
    “…The data was analyzed using descriptive statistics, Kaplan–Meier curve, log-rank test and Cox regression. Results Out of 330 cervical cancer patients, majority (64.24%) were > 50 years of age followed by 35.76% were < 50 years. …”
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  2. 43882

    Hubungan Antara Tingkat Aktivitas Fisik dengan Fungsi Kognitif pada Usila di Kelurahan Jati Kecamatan Padang Timur by Milfa Sari Muzamil, Afriwardi ., Rose Dinda Martini

    Published 2014-05-01
    “…Data processed by the chi-square statistical tests using SPSS. Results of univariate analysis level of physical activity showed the percentage of active elderly is 29.4% and less active is 70.6%. …”
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  3. 43883

    Survival of common carp carrying Cyca-DAB1*05 post-challenged with Aeromonas hydrophila by Laode Muhammad Arsal, Munti Yuhana, Sri Nuryati, , Alimuddin

    Published 2014-07-01
    “…Each fish was injected intramuscularly by 0.1 mL of 108 cfu/mL A. hydrophila. Challenge test was conducted for 14 days and blood was collected at day-0, three, seven, and 14. …”
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  4. 43884

    Traitement d’un lymphome agressif chez un babouin naturellement infecté par STLV-1 by Jocelyn Turpin, Sandrine Alais, Ambroise Marçais, Julie Bruneau, Anat Melamed, Nicolas Gadot, Olivier Hermine, Charles Bangham, Romain Lacoste, Renaud Mahieux

    Published 2016-01-01
    “…Grâce à des techniques d’immunohistochimie, nous avons détecté des cellules positives pour le transactivateur viral Tax dans la rate, les poumons, les ganglions mésentériques, axillaires, inguinaux et lymphatiques. Tous les organes testés en PCR étaient positifs pour le virus. La PVL la plus élevée fut mesurée dans les ganglions lymphatiques, la rate et les poumons. …”
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  5. 43885
  6. 43886

    Peer-assisted telemedicine hepatitis-C treatment for people who use drugs in rural communities: a mixed methods study by Kim Hoffman, Gillian Leichtling, Sarah Shin, Andrew Seaman, Tonhi Gailey, Hunter C. Spencer, P. Todd Korthuis

    Published 2025-02-01
    “…Implementing support from peer specialists, telemedicine technology, and streamlined testing and treatment strategies may connect more rural PWUD living with HCV with the cure.…”
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  7. 43887

    Antimicrobial Resistance Genes in Clinical <i>Escherichia coli</i> Strains from Livestock and Poultry in Shandong Province, China During 2015–2020 by Miaoli Wang, Shaopeng Wu, Yao Wang, Feng Chen, Zhangqi Shen, Zouran Lan

    Published 2025-01-01
    “…<b>Methods:</b> A total of 158 <i>E. coli</i> strains were collected and subjected to antimicrobial susceptibility testing and sequencing by whole-genome Next Generation Sequencing (NGS). …”
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  8. 43888

    Durable responders in advanced NSCLC with elevated TMB and treated with 1L immune checkpoint inhibitor: a real-world outcomes analysis by David P Carbone, David Spigel, Jeffrey S Ross, Karthikeyan Murugesan, Gerald Li, Richard S P Huang, Ryon P Graf, Geoffrey R Oxnard, Alexa Schrock, Liangliang Zhang, Khaled Tolba, Jacob Sands

    Published 2023-01-01
    “…All patients underwent genomic testing using Foundation Medicine’s tissue comprehensive genomic profiling assay and PD-L1 IHC assay scored for tumor cell staining (TS).Results Of 2165 patients included in the analysis, 150 exhibited durable benefit from first-line ICPI regimens (these patients were enriched for PD-L1 TS ≥50, non-squamous histology, and TMB ≥20 mutations/megabase (muts/Mb)). …”
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  9. 43889

    Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study by Xiaojuan Xiong, Hong Fu, Bo Xu, Wang Wei, Mi Zhou, Peng Hu, Yunqin Ren, Qingxiang Mao

    Published 2025-01-01
    “…Data from 10,023 Medical Information Mart for Intensive Care patients were divided into training (70%) and test (30%) sets, with 3212 patients from 3 other centers used for external validation. …”
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  10. 43890

    Efficacy and safety of various drug combinations in treating plaque Psoriasis: A meta-analysis [version 2; peer review: 2 approved] by Nayak Snehasis, Karshe Haji Ali, Pendyala Siri, Ngabo Herve, Sayed Zafar

    Published 2025-01-01
    “…A significant PASI 75- response was observed in the pioglitazone combination subgroup as compared to placebo (OR=4.92,95% CI 2.19-11.05, P = 0.0001); methotrexate combination subgroup as compared to placebo (OR=2.56, 95% CI 1.67-3.94, P< 0.0001) test of subgroup differences showed P= 0.14, I2= 34%. …”
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  11. 43891

    Conglomerated Imiquimod and Metronidazole Incorporated Biodegradable Nanofibrous Mats for Potential Therapy of Cervical Cancer by Chen YP, Chiu CF, Wang CN, Lin CC, Shen CR, Yao YC, Kuo YH, Liu SJ

    Published 2025-01-01
    “…Additionally, a model of cervical cancer was established using C57BL/6J mice, and it was utilized to evaluate the efficacy of drug-eluting nanofibers through in vivo testing. Mice afflicted with cervical cancer were separated into three distinct groups for the study: The mice in Group A served as the control and received no treatment. …”
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  12. 43892

    Hubungan Daerah Tempat Tinggal dengan Gambaran Histopatologi Karsinoma Tiroid pada Masyarakat Sumatera Barat by Eka Putri, Daan Khambri, Selfi Renita Rusdji

    Published 2014-05-01
    “…Statistical analysis of the relationship of the area at risk of iodine deficiency with follicular and anaplastic carcinoma incidence by chi-square test p value = 0.32.There is no significant correlation between residential areas and histopathological types of thyroid carcinoma of West Sumatera society.…”
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  13. 43893

    Безпосередні та віддалені результати модифікованої операції Росса by O. M. Romaniuk

    Published 2024-11-01
    “…Для статистичного опрацювання даних проведено регресійно-кореляційний аналіз, прогностичне моделювання за допомогою покрокової бінарної логістичної регресії, ROC-аналіз, t-test, information value (IV)-тест. Результати. Госпітальна летальність становила 2,2 %, загальна летальність – 3,2 %, показник виживання становив: за 1 рік – 100 %, за 10 років – 98,6 % (95 % довірчий інтервал (ДІ) 97,2–100), за 20 років – 97,8 % (95 % ДІ 95,8–99,7). …”
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  14. 43894

    Hubungan Derajat Merokok Berdasarkan Indeks Brinkman dengan Kadar Hemoglobin by Rizky Amelia, Ellyza Nasrul, Masrul Basyar

    Published 2016-09-01
    “…The relationship between the degree of smoking </em><em>and</em><em> hemoglobin levels used Anova statistical test, with p value &lt;0.05.The result show that average smoking duration is 19.65 ± 10.95 years and the average of cigarrete that they smoke in a day </em><em>wa</em><em>s 19.28 ± 11.88 stems. …”
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  15. 43895

    Knowledge, attitudes and practices of oral HIV pre-exposure prophylaxis (PrEP) among healthcare workers in the Ekurhuleni District, South Africa by E Mahlare, E Ramutshila, A Musekiwa, L Kuonza, T Mabuto

    Published 2023-12-01
    “…Both nurses (aOR=0.2, 95% CI 0.1 - 0.6; p<0.001) and HIV testing service counsellors (aOR 0.3; 95% CI 0.1 - 0.9; p=0.02) had negative attitudes toward HIV PrEP, compared with health promoters. …”
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  16. 43896

    Determining whether ethnic minorities with severe obesity face a disproportionate risk of serious disease and death from COVID-19: outcomes from a Southern California-based retrosp... by Qiaowu Li, Hemesh Mahesh Patel, Shefali Khandwala, Poonam Somani, Stephanie Tovar, Alejandra Montano

    Published 2022-06-01
    “…We aim to determine if ethnic minorities with severe obesity—defined as a body mass index (BMI) above 40 kg/m²—experience higher rates of hospitalisation, invasive ventilation and death.Design and setting Retrospective cohort study from 1 March 2020 to 28 February 2021 within an integrated healthcare organisation in Southern California.Participants We identified 373 831 patients by COVID-19 diagnosis code or positive laboratory test.Methods Multivariable Poisson regression with robust error variance estimated adjusted risks of hospitalisation, invasive ventilator use and death within 30 days. …”
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  17. 43897

    Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

    Published 2025-01-01
    “…Most studies exhibited an unclear or low risk of bias in various domains, including patient selection, index test, reference standard, flow and timings and applicability domain.ConclusionPreliminary experience with AI models shows good accuracy in estimating GA. …”
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  18. 43898

    Perbandingan Arsitektur Convolutional Neural Network Pada Klasifikasi Pneumonia, COVID-19, Lung Opacity, dan Normal Menggunakan Citra Sinar-X Thoraks by Agung Wahyu Setiawan

    Published 2022-12-01
    “…The highest performance was obtained using ResNet50v1 and Adam optimizer with the average value of training, validation, and testing accuracy of 92.22 ± 0.25 %. …”
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  19. 43899

    Daily home monitoring of potassium, creatinine, and estimated plasma volume in heart failure post‐discharge by Patrick Rossignol, Renaud Fay, Nicolas Girerd, Faiez Zannad

    Published 2020-06-01
    “…Whether acting on these events may help optimizing renin angiotensin aldosterone system inhibitors and diuretic therapy warrants further dedicated testing. The ongoing HERMES HF study (NCT04050904) is assessing the short‐term feasibility and safety of such a monitoring strategy, complemented by a decision support system, and generating recommendations based on ESC clinical guidelines in patients discharged after an episode of worsening heart failure with reduced ejection fraction.…”
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  20. 43900

    Identifikasi Bakteri Infeksi Saluran Pernafasan Bawah Non Tuberkulosis (Non TB) dan Pola Resistensinya pada Penderita Diabetes Melitus di RSUP M. Djamil by Virgi Anggia Lubis, Yusticia Katar, Elizabeth Bahar

    Published 2016-09-01
    “…Culture result showed that Klebsiella pneumonia (56,25%)  was the main cause, followed by Staphylococcus aureus (18,25%), Pseudomonas aeruginosa (12,50%), and Streptococcus pneumonia(12,50%). Sensitivity test result shows that Klebsiella pneumonia has great resistance to Ceftriaxone (66,63%), Pseudomonas aeruginosa is resistant to Ceftriaxone and Amoxicilin Clavulanat Acid (50%), Staphylococcus aureus is resistant to Ciprofloxacin (33,33), while Streptococcus pneumonia is sensitive to Azitromicin (100%). …”
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