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Prophylactic mastectomy and occult malignancy: Surgical and imaging considerations

Jessica L. Thompson MD Brandy R. Sinco MA MS Rachel L. McCaffrey MD Alfred E. Chang MD Michael S. Sabel MD Lesly A. Dossett MD MPH Tasha M. Hughes MD MPH Jacqueline S. Jeruss MD PhD 《Journal of surgical oncology》2023,127(1):18-27

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达格列净联合依那普利治疗2型糖尿病肾病的疗效及对患者血清Cys-C、Hcy水平的影响

黄家锋沓世泽欧玉玲《海南医学》2022,33(9):1126-1129

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Cesarean section and the risk of emergency peripartum hysterectomy in high-income countries: a systematic review

Cara Z. de la Cruz Erika L. Thompson Kathleen O’Rourke Wendy N. Nembhard 《Archives of gynecology and obstetrics》2015,292(6):1201-1215

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Cracking the brain’s genetic code

Paul M. Thompson 《Proceedings of the National Academy of Sciences of the United States of America》2015,112(50):15269-15270

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Can People Correctly Assess their Future Risk of Melanoma?

Catherine M. Olsen Nirmala Pandeya Jean Claude Dusingize Bridie S. Thompson David C. Whiteman 《The Journal of investigative dermatology》2021,141(3):695-698

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Liver transplant outcomes during the COVID-19 pandemic

Manuel Mendizabal Josefina Pages Federico Piñero Marcos Thompson Marcelo O Silva 《Annals of hepatology》2022,27(2):100656

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Mortality prediction following non-traumatic amputation of the lower extremity

D. C. Norvell M. L. Thompson E. J. Boyko G. Landry A. J. Littman W. G. Henderson A. P. Turner C. Maynard K. P. Moore J. M. Czerniecki 《The British journal of surgery》2019,106(7):879-888

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Acute respiratory distress syndrome in patients with and without diffuse alveolar damage: an autopsy study

José A. Lorente Pablo Cardinal-Fernández Diego Muñoz Fernando Frutos-Vivar Arnaud W. Thille Carlos Jaramillo Aida Ballén-Barragán José M. Rodríguez Oscar Peñuelas Guillermo Ortiz José Blanco Bruno Valle Pinheiro Nicolás Nin María del Carmen Marin Andrés Esteban Taylor B. Thompson 《Intensive care medicine》2015,41(11):1921-1930

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The use of imaging to identify immunocompromised children requiring biopsy for invasive fungal rhinosinusitis

Julie H. Harreld Robert A. Kaufman Guolian Kang Gabriela Maron William Mitchell Jerome W. Thompson Ashok Srinivasan 《Pediatric blood & cancer》2020,67(11)

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10.

Predicting Renal Function Outcomes After Partial and Radical Nephrectomy

Bimal Bhindi Christine M. Lohse Phillip J. Schulte Ross J. Mason John C. Cheville Stephen A. Boorjian Bradley C. Leibovich R. Houston Thompson 《European urology》2019,75(5):766-772

Background

Partial nephrectomy (PN) is generally favored for cT1 tumors over radical nephrectomy (RN) when technically feasible. However, it can be unclear whether the additional risks of PN are worth the magnitude of renal function benefit.

Objective

To develop preoperative tools to predict long-term estimated glomerular filtration rate (eGFR) beyond 30 d following PN and RN, separately.

Design, setting, and participants

In this retrospective cohort study, patients who underwent RN or PN for a single nonmetastatic renal tumor between 1997 and 2014 at our institution were identified. Exclusion criteria were venous tumor thrombus and preoperative eGFR <15 ml/min/1.73 m².

Intervention

RN and PN.

Outcome measurements and statistical analysis

Hierarchical generalized linear mixed-effect models with backward selection of candidate preoperative features were used to predict long-term eGFR following RN and PN, separately. Predictive ability was summarized using marginal

R_{GLMM}^{2}

, which ranges from 0 to 1, with higher values indicating increased predictive ability.

Results and limitations

The analysis included 1152 patients (13 206 eGFR observations) who underwent RN and 1920 patients (18 652 eGFR observations) who underwent PN, with mean preoperative eGFRs of 66 ml/min/1.73 m² (standard deviation [SD] = 18) and 72 ml/min/1.73 m² (SD = 20), respectively. The model to predict eGFR after RN included age, diabetes, preoperative eGFR, preoperative proteinuria, tumor size, time from surgery, and an interaction between time from surgery and age (marginal

R_{GLMM}^{2} = 0.41

). The model to predict eGFR after PN included age, presence of a solitary kidney, diabetes, hypertension, preoperative eGFR, preoperative proteinuria, surgical approach, time from surgery, and interaction terms between time from surgery and age, diabetes, preoperative eGFR, and preoperative proteinuria (marginal

R_{GLMM}^{2}

). Limitations include the lack of data on renal tumor complexity and the single-center design; generalizability needs to be confirmed in external cohorts.

Conclusions

We developed preoperative tools to predict renal function outcomes following RN and PN. Pending validation, these tools should be helpful for patient counseling and clinical decision-making.

Patient summary

We developed models to predict kidney function outcomes after partial and radical nephrectomy based on preoperative features. This should help clinicians during patient counseling and decision-making in the management of kidney tumors. 相似文献

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