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Institution

Regenstrief Institute

NonprofitIndianapolis, Indiana, United States
About: Regenstrief Institute is a nonprofit organization based out in Indianapolis, Indiana, United States. It is known for research contribution in the topics: Health care & Population. The organization has 742 authors who have published 2042 publications receiving 96966 citations.


Papers
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Journal ArticleDOI
TL;DR: A meta-analysis of published, English-language, randomized clinical trials on the use of antidepressants for the treatment of patients with functional gastrointestinal disorders was performed in this paper, and the summary odds ratio for improvement with antidepressant therapy was 4.2 (95% confidence interval [CI]: 2.3 to 7.9).

490 citations

Journal ArticleDOI
TL;DR: The Logical Observation Identifier Names and Codes (LOINC) database provides a universal code system for reporting laboratory and other clinical observations so that hospitals, health maintenance organizations, pharmaceutical manufacturers, researchers, and public health departments receive such messages from multiple sources and can automatically file the results in the right slots of their medical records, research, and/or public health systems.
Abstract: The Logical Observation Identifier Names and Codes (LOINC) database provides a universal code system for reporting laboratory and other clinical observations. Its purpose is to identify observations in electronic messages such as Health Level Seven (HL7) observation messages, so that when hospitals, health maintenance organizations, pharmaceutical manufacturers, researchers, and public health departments receive such messages from multiple sources, they can automatically file the results in the right slots of their medical records, research, and/or public health systems. For each observation, the database includes a code (of which 25 000 are laboratory test observations), a long formal name, a "short" 30-character name, and synonyms. The database comes with a mapping program called Regenstrief LOINC Mapping Assistant (RELMA(TM)) to assist the mapping of local test codes to LOINC codes and to facilitate browsing of the LOINC results. Both LOINC and RELMA are available at no cost from http://www.regenstrief.org/loinc/. The LOINC medical database carries records for >30 000 different observations. LOINC codes are being used by large reference laboratories and federal agencies, e.g., the CDC and the Department of Veterans Affairs, and are part of the Health Insurance Portability and Accountability Act (HIPAA) attachment proposal. Internationally, they have been adopted in Switzerland, Hong Kong, Australia, and Canada, and by the German national standards organization, the Deutsches Instituts fur Normung. Laboratories should include LOINC codes in their outbound HL7 messages so that clinical and research clients can easily integrate these results into their clinical and research repositories. Laboratories should also encourage instrument vendors to deliver LOINC codes in their instrument outputs and demand LOINC codes in HL7 messages they get from reference laboratories to avoid the need to lump so many referral tests under the "send out lab" code.

477 citations

Journal ArticleDOI
TL;DR: Strong initial evidence for reliability, construct validity, and responsiveness of the PEG among primary care and other ambulatory clinic patients is provided and it may be a practical and useful tool to improve assessment and monitoring of chronic pain in primary care.
Abstract: BACKGROUND Inadequate pain assessment is a barrier to appropriate pain management, but single-item “pain screening” provides limited information about chronic pain. Multidimensional pain measures such as the Brief Pain Inventory (BPI) are widely used in pain specialty and research settings, but are impractical for primary care. A brief and straightforward multidimensional pain measure could potentially improve initial assessment and follow-up of chronic pain in primary care.

461 citations

Journal ArticleDOI
TL;DR: It is shown that pain and depression have strong and similar effects on one another when assessed longitudinally over 12 months, and a change in severity of either symptom predicts subsequent severity of the other symptom.

455 citations

Journal ArticleDOI
TL;DR: The data suggest that individuals with elevated baseline liver enzymes do not have higher risk for hepatotoxicity from statins.

434 citations


Authors

Showing all 752 results

NameH-indexPapersCitations
Earl S. Ford130404116628
Andrew J. Saykin12288752431
Michael W. Weiner12173854667
Terry M. Therneau11744759144
Ting-Kai Li10949439558
Kurt Kroenke107478110326
E. John Orav10037934557
Li Shen8455826812
William M. Tierney8442324235
Robert S. Dittus8225232718
C. Conrad Johnston8017730409
Matthew Stephens8021698924
Morris Weinberger7836723600
Richard M. Frankel7433424885
Patrick J. Loehrer7327921068
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202220
2021170
2020127
2019154
2018133