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AHRQ Research Studies Date
Topics
- Adverse Events (1)
- (-) Cancer (7)
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- Elderly (2)
- Healthcare Cost and Utilization Project (HCUP) (1)
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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 7 of 7 Research Studies DisplayedGingrich AA, Bateni SB, Monjazeb AM
Neoadjuvant radiotherapy is associated with R0 resection and improved survival for patients with extremity soft tissue sarcoma undergoing surgery: a national cancer database analysis.
Neoadjuvant radiotherapy (RT) is increasingly advocated for the management of soft tissue sarcoma (STS). This study sought to characterize the impact of neoadjuvant RT on rates of R0 resection and overall survival (OS) in extremity STS patients undergoing surgery. The authors concluded that preoperative RT independently predicts higher rates of R0 resection for patients with extremity STS undergoing surgical resection. Negative surgical margins and pre- or postoperative RT are associated with improved OS.
AHRQ-funded; HS022236.
Citation: Gingrich AA, Bateni SB, Monjazeb AM .
Neoadjuvant radiotherapy is associated with R0 resection and improved survival for patients with extremity soft tissue sarcoma undergoing surgery: a national cancer database analysis.
Ann Surg Oncol 2017 Oct;24(11):3252-63. doi: 10.1245/s10434-017-6019-8..
Keywords: Adverse Events, Cancer, Mortality, Patient-Centered Outcomes Research, Patient Safety
Park JS, Bateni SB, Bold RJ
The modified frailty index to predict morbidity and mortality for retroperitoneal sarcoma resections.
The researchers performed a retrospective analysis of patients with a diagnosis of primary malignant retroperitoneal neoplasm who underwent surgical resection. The modified frailty index (mFI) was calculated according to standard published methods. Their data demonstrate that the majority of patients undergoing retroperitoneal sarcoma resections have few, if any, comorbidities. The mFI was a limited predictor of overall and serious complications and was not a significant predictor of mortality.
AHRQ-funded; HS022236.
Citation: Park JS, Bateni SB, Bold RJ .
The modified frailty index to predict morbidity and mortality for retroperitoneal sarcoma resections.
J Surg Res 2017 Sep;217:191-97. doi: 10.1016/j.jss.2017.05.025.
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Keywords: Cancer, Elderly, Health Status, Mortality, Risk
Palta P, Huang ES, Kalyani RR
Hemoglobin A1c and mortality in older adults with and without diabetes: Results from the National Health and Nutrition Examination Surveys (1988-2011).
In this paper, the investigators sought to estimate the risk of mortality by HbA1c levels among older adults with and without diabetes. They concluded that an HbA1c >8.0% was associated with increased risk of all-cause and cause-specific mortality in older adults with diabetes. The investigators suggest that their results support the idea that better glycemic control is important for reducing mortality; however, they also indicate that there is a need for individualized glycemic targets for older adults with diabetes depending on their demographics, duration of diabetes, and existing comorbidities.
AHRQ-funded; HS018542.
Citation: Palta P, Huang ES, Kalyani RR .
Hemoglobin A1c and mortality in older adults with and without diabetes: Results from the National Health and Nutrition Examination Surveys (1988-2011).
Diabetes Care 2017 Apr;40(4):453-60. doi: 10.2337/dci16-0042.
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Keywords: Cancer, Cardiovascular Conditions, Diabetes, Elderly, Mortality, Risk
Graboyes EM, Kallogjeri D, Saeed MJ
Postoperative care fragmentation and thirty-day unplanned readmissions after head and neck cancer surgery.
Researchers sought to determine the frequency, risk factors, and outcomes for head and neck cancer patients experiencing postdischarge care fragmentation. They found that postdischarge care fragmentation following head and neck cancer surgery is common, as 37 percent of readmitted patients and 31 percent of patients readmitted with a treatment complication are readmitted to a hospital other than the surgical hospital.
AHRQ-funded; HS019455.
Citation: Graboyes EM, Kallogjeri D, Saeed MJ .
Postoperative care fragmentation and thirty-day unplanned readmissions after head and neck cancer surgery.
Laryngoscope 2017 Apr;127(4):868-74. doi: 10.1002/lary.26301.
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Keywords: Healthcare Cost and Utilization Project (HCUP), Cancer, Surgery, Hospital Readmissions, Mortality
McMahon BJ, Bruden D, Townsend-Bulson L
Infection with hepatitis C virus genotype 3 is an independent risk factor for end-stage liver disease, hepatocellular carcinoma, and liver-related death.
The researchers examined the association of 11 risk factors with adverse outcomes in a population-based prospective cohort observational study of Alaska Native/American Indian persons with chronic infection. They found those infected with HCV genotype 3 to be at high risk for end-stage liver disease, hepatocellular carcinoma, and liver-related death.
AHRQ-funded; HS000046.
Citation: McMahon BJ, Bruden D, Townsend-Bulson L .
Infection with hepatitis C virus genotype 3 is an independent risk factor for end-stage liver disease, hepatocellular carcinoma, and liver-related death.
Clin Gastroenterol Hepatol 2017 Mar;15(3):431-37.e2. doi: 10.1016/j.cgh.2016.10.012.
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Keywords: Hepatitis, Cancer, Kidney Disease and Health, Risk, Mortality
Halm EA, Anderson LD, Gerber DE
Understanding the relationship between care volume and clinical outcomes in multiple myeloma.
This editorial discusses an article written by Go et al, entitled Association between treatment facility volume and mortality of multiple myeloma patients, published in the Journal of Clinical Oncology in 2017.
AHRQ-funded; HS022418.
Citation: Halm EA, Anderson LD, Gerber DE .
Understanding the relationship between care volume and clinical outcomes in multiple myeloma.
J Clin Oncol 2017 Feb 20;35(6):580-82. doi: 10.1200/jco.2016.70.4726..
Keywords: Cancer, Mortality, Outcomes, Patient-Centered Outcomes Research
O'Malley D, Hudson SV, Nekhlyudov L
Learning the landscape: implementation challenges of primary care innovators around cancer survivorship care.
This study describes the experiences of early implementers of primary care-focused cancer survivorship delivery models. Implementation challenges included (1) lack of key stakeholder buy-in; (2) practice resources allocated to competing (non-survivorship) change efforts; and (3) competition with higher priority initiatives incentivized by payers.
AHRQ-funded; HS021287.
Citation: O'Malley D, Hudson SV, Nekhlyudov L .
Learning the landscape: implementation challenges of primary care innovators around cancer survivorship care.
J Cancer Surviv 2017 Feb;11(1):13-23. doi: 10.1007/s11764-016-0555-2.
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Keywords: Primary Care, Cancer, Healthcare Delivery, Primary Care: Models of Care, Mortality