scispace - formally typeset
D

David L. Cedeño

Researcher at Illinois Wesleyan University

Publications -  113
Citations -  1804

David L. Cedeño is an academic researcher from Illinois Wesleyan University. The author has contributed to research in topics: Medicine & Neuropathic pain. The author has an hindex of 22, co-authored 75 publications receiving 1401 citations. Previous affiliations of David L. Cedeño include Northwestern University & Penn State Erie, The Behrend College.

Papers
More filters
Journal Article

Responsible, Safe, and Effective Prescription of Opioids for Chronic Non-Cancer Pain: American Society of Interventional Pain Physicians (ASIPP) Guidelines.

Laxmaiah Manchikanti, +47 more
- 01 Feb 2017 - 
TL;DR: These guidelines are intended to provide a systematic and standardized approach to this complex and difficult arena of practice, while recognizing that every clinical situation is unique.
Journal ArticleDOI

Leishmania tarentolae: utility as an in vitro model for screening of antileishmanial agents.

TL;DR: The ability of L. tarentolae to grow as axenic amastigotes is first described while its ability to infect several mammalian cells has been confirmed and offers a suitable model for the in vitro screening of compounds for antileishmanial activity.
Journal ArticleDOI

In Vitro and In Vivo Studies of the Utility of Dimethyl and Diethyl Carbaporphyrin Ketals in Treatment of Cutaneous Leishmaniasis

TL;DR: The effectiveness and cytotoxicity of the dimethyl and diethyl carbaporphyrin ketals (CKOMe and CKOEt) were determined in vitro using pathogenic Leishmania species with and without exposure to visible light, and in vivo, the parasitic load was diminished without noticeable toxic effects.
Journal ArticleDOI

Anatomic and Ultrasonographic Evaluation of the Knee Sensory Innervation: A Cadaveric Study to Determine Anatomic Targets in the Treatment of Chronic Knee Pain.

TL;DR: It is concluded that reproducible correlations showing the sensory innervations for the knee are linked to muscular structures, however, high variability among individuals makes it difficult to predict their paths.