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Laura S. Welch

Researcher at Silver Spring Networks

Publications -  91
Citations -  3279

Laura S. Welch is an academic researcher from Silver Spring Networks. The author has contributed to research in topics: Poison control & Population. The author has an hindex of 29, co-authored 89 publications receiving 2992 citations. Previous affiliations of Laura S. Welch include George Washington University & Yale University.

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A systematic review on the efficacy of cytoreductive surgery combined with perioperative intraperitoneal chemotherapy for diffuse malignancy peritoneal mesothelioma

TL;DR: A systematic review evaluated the current evidence for CRS and PIC for DMPM, which demonstrated an improved overall survival, as compared to historical controls, using systemic chemotherapy and palliative surgery.
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A review of peritoneal mesothelioma at the Washington Cancer Institute.

TL;DR: In this article, a single institution's experience with 68 patients (21 females, 47 males) prospectively treated over the last 2 decades with an aggressive local-regional approach, combining maximal cytoreductive surgery with heated intraoperative intraperitoneal chemotherapy and early postoperative intra-peritoneAL chemotherapy, resulted in a median survival of 67 months.
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The worldwide pandemic of asbestos-related diseases.

TL;DR: Although the epidemic of asbestos-related disease has plateaued or is expected to plateau in most of the developed world, little is known about the epidemic in developing countries, and it is obvious that increased asbestos use by these countries will result in an increase in asbestos- related diseases in the future.
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Effects of exposure to ethylene glycol ethers on shipyard painters: II. Male reproduction

TL;DR: Painters had an increased prevalence of oligospermia and azoospermies and an increased odds ratio for a lower sperm count per ejaculate, while smoking was controlled.
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Effect of maternal work activity on preterm birth and low birth weight

TL;DR: A significant association between standing on the job and preterm birth was demonstrated when adjustment was made for the following variables in a logistic regression model: parity, smoking, education, caffeine use, marijuana use, race, gestational age at interview, and marital status.