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Welf Saupe

Researcher at Cleveland Clinic

Publications -  6
Citations -  233

Welf Saupe is an academic researcher from Cleveland Clinic. The author has contributed to research in topics: Kidney disease & Diagnosis code. The author has an hindex of 4, co-authored 6 publications receiving 216 citations. Previous affiliations of Welf Saupe include Liquid Crystal Institute.

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Development and Validation of an Electronic Health Record–Based Chronic Kidney Disease Registry

TL;DR: Development of an EHR-based CKD registry is feasible in a large health system, and the comorbid conditions included in the registry are reliable, and such a registry could help to improve the quality of care delivered to CKD patients and complement the ongoing nationwide efforts to develop a CKD surveillance project.
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Web-Based Self-Management for Patients with Multiple Sclerosis: A Practical, Randomized Trial

TL;DR: The feasibility of conducting a randomized, controlled trial using e-PHR-enabled self-management augmented multidisciplinary MS center-based care was established and the impact on self-assessed well-being, clinician-assessment well- being, and healthcare utilization in patients with multiple sclerosis was determined.
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Implications of the CKD-EPI GFR estimation equation in clinical practice.

TL;DR: CKD-EPI resulted in substantial declines in equation-based CKD diagnoses in a large healthcare system, and further research is needed to determine whether widespread use of CKD- EPI with current guidelines could lead to delayed needed care among younger patients or excessive referrals among older patients.
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The Effect of Molecular Structure on the Formation of Induced Nematic Phases in Binary Mixtures

TL;DR: In this paper, a variety of 4-halophenyl-4′-alkoxybenzoates and 4-alkoxyphenyl- 4′-halobenzoates were synthesized, their mesomorphic properties determined and compared with those of the analogous halo anils.
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Using an automated recruitment process to generate an unbiased study sample of multiple sclerosis patients.

TL;DR: The subjects were highly representative of the target population, indicating that there was little bias in the selection process despite a constantly changing pool of eligible individuals.