Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Lauren S, Peetluk"'
Autor:
Matthew T. Clark, Danielle A. Rankin, Lauren S. Peetluk, Alisa Gotte, Alison Herndon, William McEachern, Andrew Smith, Daniel E. Clark, Edward Hardison, Adam J. Esbenshade, Anna Patrick, Natasha B. Halasa, James A. Connelly, Sophie E. Katz
Publikováno v:
ACR Open Rheumatology, Vol 4, Iss 12, Pp 1050-1059 (2022)
Objective Features of multisystem inflammatory syndrome in children (MIS‐C) overlap with other syndromes, making the diagnosis difficult for clinicians. We aimed to compare clinical differences between patients with and without clinical MIS‐C dia
Externí odkaz:
https://doaj.org/article/92caa5f4552742fe95c071e3c7ca4b23
Autor:
Natasha B Halasa, Danielle A Rankin, Lauren S Peetluk, Stephen Deppen, James Christopher Slaughter, Sophie Katz, Nikhil K Khankari
Publikováno v:
BMJ Open, Vol 13, Iss 4 (2023)
Objectives To systematically review and evaluate diagnostic models used to predict viral acute respiratory infections (ARIs) in children.Design Systematic review.Data sources PubMed and Embase were searched from 1 January 1975 to 3 February 2022.Elig
Externí odkaz:
https://doaj.org/article/3b367e6b2c904737a46c136d45a7470b
Autor:
Lauren S. Peetluk, Felipe M. Ridolfi, Peter F. Rebeiro, Dandan Liu, Valeria C Rolla, Timothy R. Sterling
Publikováno v:
BMJ Open, Vol 11, Iss 3 (2021)
Objective To systematically review and critically evaluate prediction models developed to predict tuberculosis (TB) treatment outcomes among adults with pulmonary TB.Design Systematic review.Data sources PubMed, Embase, Web of Science and Google Scho
Externí odkaz:
https://doaj.org/article/9fe98f76677349c09188216be15b93cf
Autor:
Andrew D, Redd, Lauren S, Peetluk, Brooke A, Jarrett, Colleen, Hanrahan, Sheree, Schwartz, Amrita, Rao, Andrew E, Jaffe, Austin D, Peer, Carli B, Jones, Chelsea S, Lutz, Clifton D, McKee, Eshan U, Patel, Joseph G, Rosen, Henri, Garrison Desany, Heather S, McKay, John, Muschelli, Kathleen M, Andersen, Malen A, Link, Nikolas, Wada, Prativa, Baral, Ruth, Young, Denali, Boon, M Kate, Grabowski, Emily S, Gurley
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
The public health crisis created by the COVID-19 pandemic has spurred a deluge of scientific research aimed at informing the public health and medical response to the pandemic. However, early in the pandemic, those working in frontline public health
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47fe1c4a3def341ce3e75dd33fa447cf
https://doi.org/10.1177/00333549211058732
https://doi.org/10.1177/00333549211058732
Autor:
Lauren S, Peetluk, Peter F, Rebeiro, Felipe M, Ridolfi, Bruno B, Andrade, Marcelo, Cordeiro-Santos, Afranio, Kritski, Betina, Durovni, Solange, Calvacante, Marina C, Figueiredo, David W, Haas, Dandan, Liu, Valeria C, Rolla, Timothy R, Sterling, Laise, de Moraes
Publikováno v:
Clin Infect Dis
Background Despite widespread availability of curative therapy, tuberculosis (TB) treatment outcomes remain suboptimal. Clinical prediction models can inform treatment strategies to improve outcomes. Using baseline clinical data, we developed a predi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::12354cc5941abd195ba8b99b00dbadc2
https://doi.org/10.1093/cid/ciab598
https://doi.org/10.1093/cid/ciab598
Autor:
Danielle A Rankin, Lauren S Peetluk, Stephen Deppen, James Christopher Slaughter, Sophie Katz, Natasha B Halasa, Nikhil K Khankari
Publikováno v:
BMJ Open. 13:e067878
ObjectivesTo systematically review and evaluate diagnostic models used to predict viral acute respiratory infections (ARIs) in children.DesignSystematic review.Data sourcesPubMed and Embase were searched from 1 January 1975 to 3 February 2022.Eligibi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3cf77e06752cdeba7d5d0d5267f47d3b
https://doi.org/10.1136/bmjopen-2022-067878
https://doi.org/10.1136/bmjopen-2022-067878
Autor:
Simon Mallal, Sophie E Katz, Ritu Banerjee, Peter F Rebeiro, Loren Lipworth, Kathryn M. Edwards, David M. Aronoff, Lauren S Peetluk
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
article-version (status) pre
article-version (number) 1
BACKGROUNDThe COVID-19 pandemic has greatly impacted school operations. To better understand the role of schools in COVID-19 transmission, we evaluated infections at two independent schools in Nashville, TN during the 2020-2021 school year.METHODSThe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::538014826209a58819e0e4defed087d7
http://europepmc.org/articles/PMC8597896
http://europepmc.org/articles/PMC8597896
Publikováno v:
Contraception
OBJECTIVE: Systematically review the existing evidence about couples-based interventions and postpartum contraceptive uptake and generate recommendations for future research. DATA SOURCES: PubMed, Web of Science, PsycINFO, Embase, and CINAHL through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::86828c9e367c36c59ece4d538bf58819
https://pubmed.ncbi.nlm.nih.gov/35577147
https://pubmed.ncbi.nlm.nih.gov/35577147
Autor:
McKay H, Andrew D. Redd, Link Ma, Mary K. Grabowski, Kathleen M Andersen, Rosen G, Lutz C, John Muschelli, Amrita Rao, Young R, Sheree Schwartz, Colleen F. Hanrahan, Clifton D. McKee, Andrew E. Jaffe, Brooke A. Jarrett, Emily S. Gurley, Eshan U. Patel, Lauren S Peetluk, Denali Boon, Desany Hg, Nikolas Wada, Craig K. Jones, Prativa Baral
The public health crisis created by the SARS-CoV-2 pandemic has spurred a deluge of scientific research aimed at informing public health and medical response to the COVID-19 pandemic. However, those working in frontline public health and clinical car
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fab053b86382a923889647ef4bdfa81f
https://doi.org/10.1101/2021.04.26.21255437
https://doi.org/10.1101/2021.04.26.21255437
Autor:
Felipe Ridolfi, Timothy R Sterling, Valeria Cavalcanti Rolla, Dandan Liu, Peter F Rebeiro, Lauren S Peetluk
Publikováno v:
BMJ Open
BMJ Open, Vol 11, Iss 3 (2021)
BMJ Open, Vol 11, Iss 3 (2021)
ObjectiveTo systematically review and critically evaluate prediction models developed to predict tuberculosis (TB) treatment outcomes among adults with pulmonary TB.DesignSystematic review.Data sourcesPubMed, Embase, Web of Science and Google Scholar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc443ba9fee724990ed980fc3b3085eb
https://pubmed.ncbi.nlm.nih.gov/33653759
https://pubmed.ncbi.nlm.nih.gov/33653759