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Institution

University of Kansas

EducationLawrence, Kansas, United States
About: University of Kansas is a education organization based out in Lawrence, Kansas, United States. It is known for research contribution in the topics: Population & Poison control. The organization has 38183 authors who have published 81381 publications receiving 2986312 citations. The organization is also known as: KU & Univ of Kansas.


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Journal ArticleDOI
TL;DR: There is a dose-related relationship between prednisone use and pneumonia risk in rheumatoid arthritis and this data call into question the belief that low-doseprednisone is safe.
Abstract: Objective Pneumonia is a major cause of mortality and morbidity in rheumatoid arthritis (RA). This study was undertaken to determine the rate and predictors of hospitalization for pneumonia and the extent to which specific RA treatments increase pneumonia risk. Methods RA patients (n = 16,788) were assessed semiannually for 3.5 years. Pneumonia was confirmed by medical records or detailed patient interview. Covariates included RA severity measures, diabetes, pulmonary disease, and myocardial infarction. Cox proportional hazards regression was used to determine the multivariable risk associated with RA treatments. Results After adjustment for covariates, prednisone use increased the risk of pneumonia hospitalization (hazard ratio [HR] 1.7 [95% confidence interval 1.5–2.0]), including a dose-related increase in risk (≤5mg/day HR 1.4 [95% confidence interval 1.1–1.6], >5–10 mg/day HR 2.1 [95% confidence interval 1.7–2.7], >10 mg/day HR 2.3 [95% confidence interval 1.6–3.2]). Leflunomide also increased the risk (HR 1.2 [95% confidence interval 1.0–1.5]). HRs for etanercept (0.8 [95% confidence interval 0.6–110]) and sulfasalazine (0.7 [95% confidence interval 0.5–1.0]) did not reflect an increased risk of pneumonia. HRs for infliximab, adalimumab, and methotrexate were not significantly different from zero. Conclusion There is a dose-related relationship between prednisone use and pneumonia risk in RA. No increase in risk was found for anti–tumor necrosis factor therapy or methotrexate. These data call into question the belief that low-dose prednisone is safe. Because corticosteroid use is common in RA, the results of this study suggest that prednisone exposure may have important public health consequences.

416 citations

Journal ArticleDOI
TL;DR: In this article, the authors examined spatial responses of NDVI to precipitation and temperature during a 9-year period (1989-1997) in Kansas and found that precipitation is a strong predictor of regional spatial patterns of NDV and, by inference, patterns of productivity.
Abstract: The Normalized DiVerence Vegetation Index (NDVI) has proven to bea robust indicator ofterrestrial vegetation productivity. Among climaticfactors, precipitation and temperature strongly ine uence both temporal and spatial pat- terns of NDVI. We examined spatial responses of NDVI to precipitation and temperature during a 9-year period (1989-1997) in Kansas. Biweekly climate maps (precipitation and temperature) were constructed by interpolation of weather station measurements. Maps of biweekly growing season (March to October) NDVI were constructed for Kansas using National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radio- meter (AVHRR) NDVI images. Average precipitation is a strong predictor of the major east-west NDVI gradient. Deviation from average precipitation explained most of the year-to-year variation in spatial patterns. NDVI and precipitation covaried in the same direction (both positive or both negative) for 60-95% of the total land area. Minimum and average temperatures were positively correlated with NDVI, but temperature deviation from average was generally not correlated with NDVI deviation from average. Our results demonstrate that precipitation is a strong predictor of regional spatial patterns of NDVI and, by inference, patterns of productivity.

415 citations

Journal ArticleDOI
21 Apr 2010-PLOS ONE
TL;DR: It is found that high AL DH1 expression is significantly associated with poor clinical outcomes in serous ovarian cancer patients and high ALDHbr tumor cells exhibit cancer stem cell properties and are resistant to chemotherapy.
Abstract: Aldehyde dehydrogenase isoform 1 (ALDH1) has been proved useful for the identification of cancer stem cells However, our knowledge of the expression and activity of ALDH1 in common epithelial cancers and their corresponding normal tissues is still largely absent Therefore, we characterized ALDH1 expression in 24 types of normal tissues and a large collection of epithelial tumor specimens (six cancer types, n = 792) by immunohistochemical staining Using the ALDEFUOR assay, ALDH1 activity was also examined in 16 primary tumor specimens and 43 established epithelial cancer cell lines In addition, an ovarian cancer transgenic mouse model and 7 murine ovarian cancer cell lines were analyzed We found that the expression levels and patterns of ALDH1 in epithelial cancers are remarkably distinct, and they correlate with their corresponding normal tissues ALDH1 protein expression levels are positively correlated with ALDH1 enzymatic activity measured by ALDEFLUOR assay Long-term in vitro culture doesn't significantly affect ALDH1 activity in epithelial tumor cells Consistent with research on other cancers, we found that high ALDH1 expression is significantly associated with poor clinical outcomes in serous ovarian cancer patients (n = 439, p = 00036) Finally, ALDH(br) tumor cells exhibit cancer stem cell properties and are resistant to chemotherapy As a novel cancer stem cell marker, ALDH1 can be used for tumors whose corresponding normal tissues express ALDH1 in relatively restricted or limited levels such as breast, lung, ovarian or colon cancer

415 citations

Journal ArticleDOI
TL;DR: In this article, the authors show that the primary mechanism responsible for increased land carbon storage under radiatively forced climate change is fertiliza- tion of plant growth by increased mineralization of nitrogen directly associated with increased decomposition of soil oranic matter under a warming climate, which results in a negative gain for the climate-carbon feedback.
Abstract: Inclusion of fundamental ecological interactions between carbon and nitrogen cycles in the land component of an atmosphere-ocean general circulation model (AOGCM) leads to decreased carbon uptake associated with CO2 fertil- ization, and increased carbon uptake associated with warm- ing of the climate system. The balance of these two oppos- ing effects is to reduce the fraction of anthropogenic CO2 predicted to be sequestered in land ecosystems. The primary mechanism responsible for increased land carbon storage un- der radiatively forced climate change is shown to be fertiliza- tion of plant growth by increased mineralization of nitrogen directly associated with increased decomposition of soil or- ganic matter under a warming climate, which in this partic- ular model results in a negative gain for the climate-carbon feedback. Estimates for the land and ocean sink fractions of recent anthropogenic emissions are individually within the range of observational estimates, but the combined land plus ocean sink fractions produce an airborne fraction which is too high compared to observations. This bias is likely due in part to an underestimation of the ocean sink frac- tion. Our results show a significant growth in the airborne fraction of anthropogenic CO2 emissions over the coming

414 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyzed sensitivity of phase velocities of multimodes of surface waves for a six-layer earth model, and then invert surface-wave dispersion curves of the theoretical model and a real-world example.

414 citations


Authors

Showing all 38401 results

NameH-indexPapersCitations
Gordon H. Guyatt2311620228631
Krzysztof Matyjaszewski1691431128585
Wei Li1581855124748
David Tilman158340149473
Tomas Hökfelt158103395979
Pete Smith1562464138819
Daniel J. Rader1551026107408
Melody A. Swartz1481304103753
Kevin Murphy146728120475
Carlo Rovelli1461502103550
Stephen Sanders1451385105943
Marco Zanetti1451439104610
Andrei Gritsan1431531135398
Gunther Roland1411471100681
Joseph T. Hupp14173182647
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202391
2022358
20214,211
20204,204
20193,766
20183,485