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1

Berzsenyi, Z. "Book review." Acta Agronomica Hungarica 51, no. 3 (November 1, 2003): 369. http://dx.doi.org/10.1556/aagr.51.2003.3.15.

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Габдеев, М. М., Н. В. Борисов, В. В. Шиманский, and О. И. Спиридонова. "Спектральные и фотометрические исследования поляра USNO-A2.0 0825-18396733." Астрономический журнал 92, no. 03 (2015): 244–52. http://dx.doi.org/10.7868/s0004629915030020.

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Bobel, J. M., M. R. Di-Lernia, J. R. Abbott, M. T. Long, and L. K. Warren. "0825 Prolonged head elevation causes mucosal IgA fluctuation in horses." Journal of Animal Science 94, suppl_5 (October 1, 2016): 397. http://dx.doi.org/10.2527/jam2016-0825.

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Hattori, Kazuhisa, Kohei Okamoto, Shuya Hatakeyama, Tomohiro Kuwahara, Masato Ohmi, Masamitsu Haruna, Shinpei Okawa, and Yukio Yamada. "0825 Measurement of the Optical Properties of Human Stratum Corneum." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2009.22 (2010): 320. http://dx.doi.org/10.1299/jsmebio.2009.22.320.

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Esposito, A., T. Sakellaris, P. Limede, F. Costa, L. T. Cunha, A. G. Dias, J. Lencart, S. Sarmento, and C. C. Rosa. "PO-0825: Monte Carlo model for IOERT dose distribution studies." Radiotherapy and Oncology 115 (April 2015): S416. http://dx.doi.org/10.1016/s0167-8140(15)40817-5.

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6

Patil, Nirav, Eashwar Somasundaram, Kristin A. Waite, Justin D. Lathia, Mitchell Machtay, Mark R. Gilbert, James R. Connor, et al. "Independently validated sex-specific nomograms for predicting survival in patients with newly diagnosed glioblastoma: NRG Oncology RTOG 0525 and 0825." Journal of Neuro-Oncology 155, no. 3 (November 10, 2021): 363–72. http://dx.doi.org/10.1007/s11060-021-03886-5.

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Abstract Background/purpose Glioblastoma (GBM) is the most common primary malignant brain tumor. Sex has been shown to be an important prognostic factor for GBM. The purpose of this study was to develop and independently validate sex-specific nomograms for estimation of individualized GBM survival probabilities using data from 2 independent NRG Oncology clinical trials. Methods This analysis included information on 752 (NRG/RTOG 0525) and 599 (NRG/RTOG 0825) patients with newly diagnosed GBM. The Cox proportional hazard models by sex were developed using NRG/RTOG 0525 and significant variables were identified using a backward selection procedure. The final selected models by sex were then independently validated using NRG/RTOG 0825. Results Final nomograms were built by sex. Age at diagnosis, KPS, MGMT promoter methylation and location of tumor were common significant predictors of survival for both sexes. For both sexes, tumors in the frontal lobes had significantly better survival than tumors of multiple sites. Extent of resection, and use of corticosteroids were significant predictors of survival for males. Conclusions A sex specific nomogram that assesses individualized survival probabilities (6-, 12- and 24-months) for patients with GBM could be more useful than estimation of overall survival as there are factors that differ between males and females. A user friendly online application can be found here—https://npatilshinyappcalculator.shinyapps.io/SexDifferencesInGBM/.
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Guix, I., A. Lazar, J. Mao, M. A. Pujana, and M. H. Barcellos-Hoff. "PD-0825 A transcriptomic biomarker predicts response to genotoxic cancer therapy." Radiotherapy and Oncology 170 (May 2022): S743—S744. http://dx.doi.org/10.1016/s0167-8140(22)02966-8.

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8

Gabdeev, M. M., N. V. Borisov, V. V. Shimansky, and O. I. Spiridonova. "Spectral and photometric studies of the polar USNO-A2.0 0825-18396733." Astronomy Reports 59, no. 3 (March 2015): 213–20. http://dx.doi.org/10.1134/s1063772915030026.

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9

Jeffery, C. S., A. S. Baran, N. T. Behara, A. Kvammen, P. Martin, Naslim N, R. H. Østensen, et al. "Discovery of a variable lead-rich hot subdwarf: UVO 0825+15." Monthly Notices of the Royal Astronomical Society 465, no. 3 (November 4, 2016): 3101–24. http://dx.doi.org/10.1093/mnras/stw2852.

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10

Sterpin, E., A. Barragan, K. Souris, and J. Lee. "PO-0825: Multi-scenario sampling in robust proton therapy treatment planning." Radiotherapy and Oncology 123 (May 2017): S443—S444. http://dx.doi.org/10.1016/s0167-8140(17)31262-8.

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11

Nathan, M., A. Wiley, S. Crawford, E. Zhou, KA Sullivan, J. Camuso, and H. Joffe. "0825 FEMALE REPRODUCTIVE HORMONES AND HOT FLASHES IN PERIMENOPAUSAL SLEEP DISRUPTION." Sleep 40, suppl_1 (April 28, 2017): A305. http://dx.doi.org/10.1093/sleepj/zsx050.824.

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12

Sharma, S. K., A. Gautam, U. Bhattarai, A. Rai, J. Yadav, R. Maskey, and M. Rai. "WCN23-0825 TELENEPHROLOGY: MANAGING CHRONIC KIDNEY DISEASE DURING COVID-19 PANDEMIC." Kidney International Reports 8, no. 3 (March 2023): S450—S451. http://dx.doi.org/10.1016/j.ekir.2023.02.1012.

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13

Afanasiev, V. L., N. V. Borisov, and M. M. Gabdeev. "Photometric and polarimetric observations of a new polar USNO-A2.0 0825-18396733." Astrophysical Bulletin 70, no. 3 (July 2015): 328–32. http://dx.doi.org/10.1134/s1990341315030116.

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14

Weller, M., and W. K. A. Yung. "Angiogenesis inhibition for glioblastoma at the edge: beyond AVAGlio and RTOG 0825." Neuro-Oncology 15, no. 8 (July 17, 2013): 971. http://dx.doi.org/10.1093/neuonc/not106.

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15

Tsygankov, B. D., D. V. Savelyev, and A. V. Yaltonskaya. "EPA-0825 - Clinical and Social Factors of Compulsory Psychiatric Treatment in Moscow." European Psychiatry 29 (2014): 1. http://dx.doi.org/10.1016/s0924-9338(14)78165-9.

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16

Michielsen, A., I. van Wijk, and M. Ketelaar. "Participation and health-related quality of life of Dutch children and adolescents with congenital lower limb deficiencies." Journal of Rehabilitation Medicine 43, no. 7 (2011): 584–89. http://dx.doi.org/10.2340/16501977-0825.

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17

Spiller, F., D. Carlos, F. O. Souto, A. de Freitas, F. S. Soares, S. M. Vieira, F. J. A. Paula, J. C. Alves-Filho, and F. Q. Cunha. "1-Acid Glycoprotein Decreases Neutrophil Migration and Increases Susceptibility to Sepsis in Diabetic Mice." Diabetes 61, no. 6 (March 13, 2012): 1584–91. http://dx.doi.org/10.2337/db11-0825.

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Corkey, B. E. "Diabetes: Have We Got It All Wrong?: Insulin hypersecretion and food additives: cause of obesity and diabetes?" Diabetes Care 35, no. 12 (November 21, 2012): 2432–37. http://dx.doi.org/10.2337/dc12-0825.

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Retnakaran, Ravi, and Baiju R. Shah. "Impact of Twin Gestation and Fetal Sex on Maternal Risk of Diabetes During and After Pregnancy." Diabetes Care 39, no. 8 (May 23, 2016): e110-e111. http://dx.doi.org/10.2337/dc16-0825.

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20

Buteau, J., M. L. Spatz, and D. Accili. "Transcription Factor FoxO1 Mediates Glucagon-Like Peptide-1 Effects on Pancreatic -Cell Mass." Diabetes 55, no. 5 (April 26, 2006): 1190–96. http://dx.doi.org/10.2337/db05-0825.

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Xia, Chang-Qing, Ruihua Peng, Yushi Qiu, Mani Annamalai, David Gordon, and Michael J. Clare-Salzler. "Transfusion of Apoptotic β-Cells Induces Immune Tolerance to β-Cell Antigens and Prevents Type 1 Diabetes in NOD Mice." Diabetes 56, no. 8 (May 11, 2007): 2116–23. http://dx.doi.org/10.2337/db06-0825.

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22

Riley, Bridget, M. Packer, S. Gallier, Elizabeth Sapey, and Cat Atkin. "Acute, non-COVID related medical admissions during the first wave of COVID-19: A retrospective comparison of changing patterns of disease." Acute Medicine Journal 19, no. 4 (January 10, 2020): 176–82. http://dx.doi.org/10.52964/amja.0825.

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COVID-19 may have altered the case-mix of non-COVID acute medical admissions. Retrospective analysis of acute medical admissions to University Hospitals Birmingham NHS Foundation Trust, showed that medical admissions decreased in April 2020 compared to April 2019. The proportion of young adults, non-cardiac chest pain, musculoskeletal conditions and self-discharges decreased. The proportion of admissions due to alcohol misuse, psychiatric conditions, overdoses and falls increased. There were a higher number of patients admitted to ICU and greater inpatient mortality but not once COVID diagnoses were excluded. There was a significant change in hospitalised case-mix with conditions potentially reflecting social isolation increasing and diagnoses which rarely require hospital treatment, reducing. This analysis will help inform service planning.
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23

Forster, Margaret. "Mapping literacy achievement: The 1996 Australian National School English Literacy Survey." Set: Research Information for Teachers, no. 2 (August 1, 1999): 1–8. http://dx.doi.org/10.18296/set.0825.

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Rosenheim, Jay A., Tobias E. Glik, Rachel E. Goeriz, and Birgitta Rämert. "LINKING A PREDATOR'S FORAGING BEHAVIOR WITH ITS EFFECTS ON HERBIVORE POPULATION SUPPRESSION." Ecology 85, no. 12 (December 2004): 3362–72. http://dx.doi.org/10.1890/03-0825.

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25

Pressler, Josh W., April Haller, Joyce Sorrell, Fei Wang, Randy J. Seeley, Patrick Tso, and Darleen A. Sandoval. "Vertical Sleeve Gastrectomy Restores Glucose Homeostasis in Apolipoprotein A-IV KO Mice." Diabetes 64, no. 2 (August 25, 2014): 498–507. http://dx.doi.org/10.2337/db14-0825.

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Narendran, Parth. "Alternative Approach to Immunomodulation for Type 1 Diabetes: Antigen-Specific Immunotherapy In Utero: Figure 1." Diabetes 64, no. 10 (September 24, 2015): 3347–49. http://dx.doi.org/10.2337/db15-0825.

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Nicholson, W. K., K. Asao, F. Brancati, J. Coresh, J. S. Pankow, and N. R. Powe. "Parity and Risk of Type 2 Diabetes: The Atherosclerosis Risk in Communities study." Diabetes Care 29, no. 11 (October 25, 2006): 2349–54. http://dx.doi.org/10.2337/dc06-0825.

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Wallander, M., A. Norhammar, K. Malmberg, J. Ohrvik, L. Ryden, and K. Brismar. "IGF Binding Protein 1 Predicts Cardiovascular Morbidity and Mortality in Patients With Acute Myocardial Infarction and Type 2 Diabetes." Diabetes Care 30, no. 9 (June 11, 2007): 2343–48. http://dx.doi.org/10.2337/dc07-0825.

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Tirosh, A., I. Shai, R. Bitzur, I. Kochba, D. Tekes-Manova, E. Israeli, T. Shochat, and A. Rudich. "Changes in Triglyceride Levels Over Time and Risk of Type 2 Diabetes in Young Men." Diabetes Care 31, no. 10 (June 30, 2008): 2032–37. http://dx.doi.org/10.2337/dc08-0825.

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Liu, L., T. Zheng, F. Wang, N. Wang, and M. Li. "Pro12Ala Polymorphism in the PPARG Gene Contributes to the Development of Diabetic Nephropathy in Chinese Type 2 Diabetic Patients: Response to Lapice et al." Diabetes Care 33, no. 8 (July 28, 2010): e115-e115. http://dx.doi.org/10.2337/dc10-0825.

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Szepietowski, JC, A. Batycka-Baran, W. Baran, and J. Maj. "Cystic Nodules Affecting Sexual Activity: A Quiz." Acta Dermato Venereologica 90, no. 4 (2010): 445–47. http://dx.doi.org/10.2340/00015555-0825.

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Hu, Yaozhong. "Integral transformations and anticipative calculus for fractional Brownian motions." Memoirs of the American Mathematical Society 175, no. 825 (2005): 0. http://dx.doi.org/10.1090/memo/0825.

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Ogundele, Olabode B., Xing Song, Praveen Rao, Tracy Greever-Rice, Suzanne A. Boren, Karen Edison, Douglas Burgess, and Mirna Becevic. "Claims data analysis of provider-to-provider tele-mentoring program impact on opioid prescribing in Missouri." Journal of Opioid Management 20, no. 2 (April 1, 2024): 133–47. http://dx.doi.org/10.5055/jom.0825.

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Objective: The objective of this study was to assess opioid prescribing patterns of primary care providers (PCPs) participating in a virtual tele-mentoring program for patients with chronic pain as compared to nonparticipants. Design: We utilized Missouri Medicaid claims from 2013 to 2021 to compare opioid prescription dosages and daily supply of opioids prescribed by PCPs. Participants and nonparticipants were matched using propensity score matching. Setting: Missouri Medicaid data were received through partnership with the Center for Health Policy's MO HealthNet Data Project, the state's leading provider of Medicaid data. Participants: Missouri-based prescribers. Intervention: Show-Me Project Extension for Community Healthcare Outcomes (ECHO), an evidence-based provider-to-provider telehealth intervention that connects PCPs with a team of specialists. Main outcome measures: We compared the rate of prescription opioid >50 morphine milligram equivalents (MMEs), mean MMEs/day, and mean number of daily supply to understand the impact of the ECHO model on providers' opioid prescribing. Results: Patients treated by ECHO providers have 33 percent lower odds of being prescribed opioid dose >50 MME/day (p < 0.001) compared to non-ECHO providers. There is also a 14 percent reduction in the average opioid dose prescribed to patients of ECHO providers (p < 0.001). We observed a 3 percent (p < 0.001) reduction in average daily supply of opioids among patients of ECHO providers compared to the comparison group. Conclusions: Pain Management ECHO supports PCPs with needed education and skills to provide specialty care in the management of pain conditions and safe prescribing of opioid medications.
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Emergency Management, Journal of. "Volume 21, Number 5." Journal of Emergency Management 21, no. 5 (November 3, 2023): 369–480. http://dx.doi.org/10.5055/jem.0825.

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Vera, Elizabeth, Michael Scheurer, Renke Zhou, Mark R. Gilbert, Melissa Bondy, Erik Sulman, Ying Yuan, et al. "ACTR-21. OCCURRENCE AND IMPLICATIONS OF MYELOSUPPRESSION DURING CONCURRENT THERAPY ON RTOG 0825." Neuro-Oncology 18, suppl_6 (November 1, 2016): vi6. http://dx.doi.org/10.1093/neuonc/now212.020.

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36

Esposito, M., P. Bastiani, A. Bruschi, A. Ghirelli, S. Pini, G. Zatelli, and S. Russo. "PO-0825: Characterization of a commercial EPID 3d software for in vivo dosimetry." Radiotherapy and Oncology 119 (April 2016): S390—S391. http://dx.doi.org/10.1016/s0167-8140(16)32075-8.

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37

Wefel, Jeffrey Scott, Stephanie L. Pugh, Terri S. Armstrong, Mark R. Gilbert, Minhee Won, Merideth M. Wendland, David Brachman, et al. "Neurocognitive function (NCF) outcomes in patients with glioblastoma (GBM) enrolled in RTOG 0825." Journal of Clinical Oncology 31, no. 15_suppl (May 20, 2013): 2004. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.2004.

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2004 Background: RTOG 0825 evaluated overall survival (OS) and progression-free survival (PFS) differences in patients with newly diagnosed GBM treated with standard chemoradiation, maintenance temozolomide and placebo (Arm 1) or bevacizumab (Arm 2). While OS was equivalent, PFS was longer in Arm 2. Longitudinal NCF testing was performed to evaluate clinical benefit. Methods: NCF was evaluatedat baseline and while on study and progression free with the Hopkins Verbal Learning Test-Revised (HVLT-R), Trail Making Test (TMT) and Controlled Oral Word Association (COWA). Change in NCF from baseline was categorized using the reliable change index. Differences between treatment arms were compared at follow-up evaluations. Additionally, baseline (B) and early changes (EC) (B to week 10) in NCF were examined as prognostic factors. Results: 542 patients consented and 507 randomized patients participated, with test completion rates at weeks 0 (B), 10, 22, and 34 of 94-97, 69-73, 59-64, and 53-58%, respectively. Mean test performance at B was equivalent between arms and ranged from -0.8 to -4.8 SDs below healthy population norms with global NCF on a composite variable at -2.0 SDs. There were no statistically significant between arm differences in frequency of improvement through week 34. Decline on COWA (verbal measure of executive function) at week 34 relative to baseline was more common (16.1 vs 5.7%) in patients in Arm 1 (p<0.05); whereas, there were trends for more decline in Arm 2 on a visuomotor measure of executive function (TMT B, p< 0.06; 22.2 vs 35.4%). B performance and EC in global NCF, memory, executive function and processing speed were prognostic for OS. At B, global NCF was prognostic for PFS. EC in global NCF, memory and executive function were prognostic for PFS. Conclusions: There was a statistically significant difference in the frequency of decline on a verbal test of executive function at week 34 favoring Arm 2. However, this was not found at earlier time points and was not found on a visuomotor test of executive function. B and EC in NCF were prognostic for OS and PFS. Longitudinal modeling is ongoing to further evaluate the impact of treatment on patients’ NCF. Support: U10 CA21661, U10 CA37422 and Genentech, Inc. Clinical trial information: NCI-2009-01670.
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38

Akintola, Oluwatosin, Jorg Dietrich, Alona Muzikansky, Melissa Gardner, Gilbert Youssef, Raymond Huang, Elizabeth Gerstner, et al. "NCOG-20. BRAIN ATROPHY IN GLIOBLASTOMA PATIENTS FOLLOWING TREATMENT WITH CHEMORADIATION OR CHEMORADIATION WITH ANTI-ANGIOGENIC THERAPY IN NRG/RTOG 0825 PARTICIPANTS." Neuro-Oncology 24, Supplement_7 (November 1, 2022): vii201. http://dx.doi.org/10.1093/neuonc/noac209.773.

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Abstract BACKGROUND The clinical trial NRG/RTOG 0825 sought to determine if the addition of bevacizumab to temozolomide and radiation improves survival in patients with newly diagnosed glioblastomas. Tertiary objectives included measuring the effect of the addition of bevacizumab to standard chemoradiation on neurocognitive function and quality of life. In this study, we describe brain atrophy changes as measured by ventricular volume expansion. METHODS We analyzed longitudinal MRI brain studies obtained from NRG/RTOG-0825. Volume changes in the contralesional (non-tumor) lateral ventricle were measured. Patients were included if they had either a scan at post operative (week 0) or post radiation baseline (week 10). Patients were also required to have at least one follow-up MRI brain scan 6 months or more from their baseline scans (at Week 0 or Week 10). Volumes were delineated using tissue segmentation in Slicer software. RESULTS 177 patients were identified with eligible baseline scans at Week 0 and 162 patients at Week 10. For participants analyzed at 6 months from the Week 0 scan, mean ventricular volume increased by 54.70% (SEM: 3.21%, t = 6.41, p &lt; 0.001, N = 135). For patients analyzed at 6 months from the Week 10 scan, mean ventricular volume increased by 31.89% (SEM: 2.52%, t = 3.96, p &lt; 0.001, Nf117). CONCLUSIONS This study presents evidence of progressive brain volume loss in patients with glioblastoma treated with standard chemoradiation with or without anti-VEGF therapy. This is one of the largest sample sizes of volumetric analysis in real world patients with glioblastoma. These volume changes begin early in the disease course and may precede treatment. Next directions include correlating these volumetric changes with neurocognitive score changes, quality of life scores and analyzing these changes by treatment arm.
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TAKEMASA, Fumio, Koutarou Itho, and Akihiko SUZUKI. "K-0825 Creep Damage Distribution on A Large Specimen of Cr-MoSteel Weld Joint." Proceedings of the JSME annual meeting I.01.1 (2001): 429–30. http://dx.doi.org/10.1299/jsmemecjo.i.01.1.0_429.

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40

Kim, B. H., and J. H. Chang. "PO-0825 Differential impact of GLUT1 overexpression between HPV16-positive and -negative cervical cancer." Radiotherapy and Oncology 133 (April 2019): S432. http://dx.doi.org/10.1016/s0167-8140(19)31245-9.

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41

Arentson-Lantz, Emily, Rachel Deer, Manasa Kokonda, Jessica Meers, Samantha Carreon, Sharonya Shetty, Julia Boyle, et al. "0825 Association of Sleep Disturbance and Physical Functioning following Acute Hospitalization in Older Adults." SLEEP 46, Supplement_1 (May 1, 2023): A363. http://dx.doi.org/10.1093/sleep/zsad077.0825.

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Abstract Introduction Three out of 10 older adults are admitted for acute care in U.S. hospitals where they are at risk for a rapid decline in physical function due to deconditioning. Identifying factors, such as sleep quality, that may be related to recovery of physical functioning is a key step in facilitating independence following hospital discharge. Thus, this study aimed to examine the association between sleep quality and functional recovery after an acute hospitalization in community dwelling older adults. Methods Participants (n=52; age 71.3 ± 6.8y, 75% female, 94.2% white), were recruited during an acute hospitalization. Participants completed sleep questionnaires including PROMIS Sleep-Related Impairment and Sleep Disturbance, as well as physical function testing and questionnaires, Short Physical Performance Battery (SPPB) and PROMIS Physical Function prior to hospital discharge (baseline) and at 4-weeks post-discharge (follow-up). Separate multivariate regression models were conducted to determine whether baseline sleep predicted physical functioning at follow-up as well as if pre-post hospital changes in sleep predicted pre-post changes in physical functioning. Results The PROMIS Sleep-Related Impairment score at baseline was inversely associated with SPPB Gait (0.02±0.009, p=0.04), SPPB Balance (0.02±0.008, p=0.02), SPPB Chair Stand (0.05±0.02, p=0.006) and Total SPPB (0.19±0.04, p&lt;.0001) at follow-up. Similarly, baseline PROMIS Sleep Disturbance score was inversely associated with PROMIS Physical Function at follow-up (0.19±0.07, p=0.008). The change in PROMIS Sleep-Related Impairment was inversely associated with the change in Total SPPB (0.05±0.03, p=0.03), SPPB Balance (0.05±0.02, p=0.01) and PROMIS Physical Function (0.15±0.06, p=0.012) from baseline to follow-up. The change in PROMIS Sleep Disturbance was inversely correlated with the change in PROMIS Physical Function (0.11±0.05, p=0.04) from baseline to follow-up. Conclusion Together, these results demonstrated that self-reported sleep disturbance and daytime sleep-related impairments during and following hospitalization predicted physical functioning at 4-weeks post-discharge. Improving sleep during hospitalization may reduce hospital deconditioning and improve functional recovery. Support (if any) This work is supported by NIH Grant #s R01NR018342 (PI: Nowakowski), P30AG024832, UTMB Pepper OAIC, (PI: Volpi), UL1TR001439, (UTMB ITS); and the National Dairy Council (1229, PI: Volpi) Additional support was provided by the Center for Innovations in Quality, Effectiveness and Safety (CIN 13-413).
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Kubota, Kaoru, Hiroshige Yoshioka, Fumihiro Oshita, Toyoaki Hida, Kiyotaka Yoh, Hidetoshi Hayashi, Terufumi Kato, et al. "Phase III, Randomized, Placebo-Controlled, Double-Blind Trial of Motesanib (AMG-706) in Combination With Paclitaxel and Carboplatin in East Asian Patients With Advanced Nonsquamous Non–Small-Cell Lung Cancer." Journal of Clinical Oncology 35, no. 32 (November 10, 2017): 3662–70. http://dx.doi.org/10.1200/jco.2017.72.7297.

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Purpose This phase III, randomized, placebo-controlled, double-blind study determined whether motesanib improved progression-free survival (PFS) compared with placebo in combination with paclitaxel and carboplatin (P/C) in East Asian patients with stage IV/recurrent nonsquamous non–small-cell lung cancer. Patients and Methods Patients were randomly assigned (1:1) to receive oral motesanib 125 mg or placebo once daily plus paclitaxel 200 mg/m2 IV and carboplatin area under the concentration-time curve 6 mg/mL ⋅ min IV for up to six 3-week cycles. Random assignment was stratified by epidermal growth factor receptor status, region, and weight loss in the 6 months before assignment. The primary end point was PFS, the key secondary end point was overall survival, and other secondary end points were objective response rate, time to tumor response, duration of response, and adverse events (AEs). Results Four hundred one patients were assigned to receive motesanib plus P/C (n = 197) or placebo plus P/C (n = 204). Median PFS was 6.1 v 5.6 months for motesanib versus placebo (stratified log-rank test P = .0825; stratified hazard ratio, 0.81; 95% CI, 0.64 to 1.03; P = .0820); median overall survival was not reached versus 21.6 months ( P = .5514). In secondary analyses, the objective response rate was 60.1% v 41.6% ( P < .001); median time to tumor response, 1.4 v 1.6 months, and median duration of response, 5.3 v 4.1 months. Incidence of grade ≥ 3 AEs (86.7% v 67.6%) and AEs that led to drug discontinuation (32.7% v 14.2%) were higher with motesanib than with placebo. AEs reported more frequently with motesanib were GI disorders, hypertension, and gallbladder related. Conclusion Motesanib plus P/C did not significantly improve PFS versus placebo plus P/C in East Asian patients with stage IV/recurrent nonsquamous non–small-cell lung cancer.
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Rossi, G., D. Cante, S. Beretta, C. Piva, C. Bianconi, R. Ciccocioppo, M. De Amici, et al. "PO-0825: Urinary calprotectin as a promising biomarker of RT-induced urinary toxicity. Preliminary results." Radiotherapy and Oncology 127 (April 2018): S430—S431. http://dx.doi.org/10.1016/s0167-8140(18)31135-6.

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44

Greco, F., L. Azario, L. Fidanzio, S. Cilla, M. Russo, S. Zucca, L. C. Orlandini, M. Betti, and A. Piermattei. "PO-0825 IN-VIVO DOSE RECONSTRUCTION FOR TANGENTIAL TREATMENTS OF BREAST CANCER: A GENERALIZED PROCEDURE." Radiotherapy and Oncology 103 (May 2012): S322. http://dx.doi.org/10.1016/s0167-8140(12)71158-1.

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45

Hash, J., C. Fleming, and M. Oxford. "0825 Sleep and Social Emotional Functioning among Children from Families with Child Protective Services Involvement." Sleep 41, suppl_1 (April 2018): A306. http://dx.doi.org/10.1093/sleep/zsy061.824.

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46

Beverly Hery, C. M., and L. M. Christian. "0825 Sleep During Pregnancy Through One Year Postpartum: Correspondence Between Actigraphy and Self-Report Measures." Sleep 43, Supplement_1 (April 2020): A314—A315. http://dx.doi.org/10.1093/sleep/zsaa056.821.

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Abstract Introduction Disrupted sleep and shorter sleep duration is common in pregnancy, due to hormonal changes and physical discomfort, and in postpartum due to new infants. Objective data in this population studied over more than one year are lacking. The current analysis focuses on actigraphy-based and self-reported sleep. We examined the level of correspondence between these two complementary measurement modalities. Methods Pregnant women were enrolled in the Stress and Health in Pregnancy and Postpartum (SHIPP) study. Study visits were conducted from 2016-2019 during the 3rd trimester, 4-6 weeks postpartum, and 4 months, 8 months, and 12 months postpartum. Participants completed the Pittsburgh Sleep Quality Index (PSQI) and provided wrist-actigraphy data (Actiwatch, Philips Respironics) for one week prior to each study visit. Actigraphy-based time in bed (TIB), total sleep time (TST), sleep efficiency (SE), WASO and sleep latency (SL) were calculated. Correlations were conducted between actigraphy-based and self-reported PSQI sleep measures. Results 79 women (28.9±4.6 years) provided complete actigraphy data (≥3 valid days; 6.4±1.0 days) for at least one time point. Objective TST from the 3rd trimester to 12-months postpartum was 7.19, 6.87, 6.86, 6.89, and 6.78 hours, respectively. Actigraphy-based TIB was positively correlated with self-reported TIB at all five visits (r’s: 0.37-0.62, p’s&lt;0.01). Actigraphy-based TST was positively correlated with self-reported TST (r’s: 0.27-0.48, p’s&lt;0.05) at all visits. Actigraphy-based SE was negatively correlated with the PSQI Global Score at 4, 8, and 12 months postpartum (r’s: -0.29 to -0.39, p’s&lt;0.05). Of note, actigraphy-based WASO and SL were not consistently correlated with any self-reported PSQI sleep measures. Conclusion Ensuring collection of accurate sleep data during pregnancy and postpartum is important, as poor sleep is associated with negative health outcomes for both mother and child. Self-reported data is common in large, epidemiologic studies yet actigraphy-based measures may capture different aspects of sleep than self-report. Support This study was supported by the National Institutes of Health (R01 NR01366).
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Groenendijk, C., T. Heemskerk, M. Rovituso, W. Van Burik, L. Tran, A. Rosenfeld, D. Lathouwers, and J. Brown. "PD-0825 Linking Linear Energy Transfer to the surviving fraction of FaDu cells at HollandPTC." Radiotherapy and Oncology 182 (May 2023): S694—S695. http://dx.doi.org/10.1016/s0167-8140(23)09007-2.

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48

El Naggar, Hany. "Special Issue — Soil–structure interaction of buried structures." Canadian Journal of Civil Engineering 48, no. 2 (February 2021): v—vi. http://dx.doi.org/10.1139/cjce-2020-0825.

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Vallier, Ludovic, Morgan Alexander, and Roger Pedersen. "Conditional Gene Expression in Human Embryonic Stem Cells." Stem Cells 25, no. 6 (June 2007): 1490–97. http://dx.doi.org/10.1634/stemcells.2006-0825.

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50

Quartey, E. G. K., J. A. Peters, H. van Bekkum, T. Anthonsen, Ryszard Gawinecki, Günter Häfelinger, Muhammed Nour Homsi, et al. "LaIII-Induced Addition of Tetrahydrofurfuryl Alcohol, Tetrahydropyran-2-ylmethanol, D-Gluconate, Methanol and Ethanol to Maleate." Acta Chemica Scandinavica 50 (1996): 825–31. http://dx.doi.org/10.3891/acta.chem.scand.50-0825.

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