Covid-19 Vaccine Effectiveness and the Test-Negative Design

Observational studies are emerging as fundamental sources of information about vaccine effectiveness outside the controlled environment of randomized trials, and they are being used to generate evidence of effectiveness against outcomes that are underpowered in trials, such as hospitalization or int...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:The New England journal of medicine 2021-10, Vol.385 (15), p.1431-1433
Hauptverfasser: Dean, Natalie E, Hogan, Joseph W, Schnitzer, Mireille E
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1433
container_issue 15
container_start_page 1431
container_title The New England journal of medicine
container_volume 385
creator Dean, Natalie E
Hogan, Joseph W
Schnitzer, Mireille E
description Observational studies are emerging as fundamental sources of information about vaccine effectiveness outside the controlled environment of randomized trials, and they are being used to generate evidence of effectiveness against outcomes that are underpowered in trials, such as hospitalization or intensive care unit (ICU) admission, or for narrow subgroups. 1 These studies can monitor the waning of vaccine effectiveness or measure the performance of vaccines against novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants when large randomized, controlled trials are not feasible. 2 Thompson et al. 3 now describe in the Journal the application of a retrospective test-negative design to estimate coronavirus . . .
doi_str_mv 10.1056/NEJMe2113151
format Article
fullrecord <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8451180</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2571051927</sourcerecordid><originalsourceid>FETCH-LOGICAL-c441t-bac7e15e51740e29d5da84d5cbcf1ec957fdc652e3add3271accdaed71627d1d3</originalsourceid><addsrcrecordid>eNptkc1LAzEQxYMoWj9unmVBDx5czWySTYMgSK1faL2o15Ams3VLN1s324L_vSmtouJc5jA_Hu_NI2Qf6ClQkZ8N-vePmAEwELBGOiAYSzmn-TrpUJp1Uy4V2yLbIYxpHOBqk2wxzlUOSnTIea-ely4Flbwaa0uPSb8o0LblHD2GkBjvkvYNk2cMbTrAkVlckisM5cjvko3CTALurfYOebnuP_du04enm7ve5UNqOYc2HRorEQQKkJxippxwpsudsENbAFolZOFsLjJkxjmWSYhGnEEnIc-kA8d2yMVSdzobVugs-rYxEz1tyso0H7o2pf598eWbHtVz3eUCoEujwPFKoKnfZzGJrspgcTIxHutZ0JmQ8ZWgMhnRwz_ouJ41PsZbUEqCyhmL1MmSsk0dQoPFtxmgetGK_tlKxA9-BviGv2qIwNESqKqgPY6r_3U-Ac2Sklc</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2579719633</pqid></control><display><type>article</type><title>Covid-19 Vaccine Effectiveness and the Test-Negative Design</title><source>MEDLINE</source><source>Free E-Journal (出版社公開部分のみ)</source><source>New England Journal of Medicine Current</source><source>ProQuest Central UK/Ireland</source><creator>Dean, Natalie E ; Hogan, Joseph W ; Schnitzer, Mireille E</creator><creatorcontrib>Dean, Natalie E ; Hogan, Joseph W ; Schnitzer, Mireille E</creatorcontrib><description>Observational studies are emerging as fundamental sources of information about vaccine effectiveness outside the controlled environment of randomized trials, and they are being used to generate evidence of effectiveness against outcomes that are underpowered in trials, such as hospitalization or intensive care unit (ICU) admission, or for narrow subgroups. 1 These studies can monitor the waning of vaccine effectiveness or measure the performance of vaccines against novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants when large randomized, controlled trials are not feasible. 2 Thompson et al. 3 now describe in the Journal the application of a retrospective test-negative design to estimate coronavirus . . .</description><identifier>ISSN: 0028-4793</identifier><identifier>EISSN: 1533-4406</identifier><identifier>DOI: 10.1056/NEJMe2113151</identifier><identifier>PMID: 34496195</identifier><language>eng</language><publisher>United States: Massachusetts Medical Society</publisher><subject>Bias ; Case-Control Studies ; Coronavirus ; Coronaviruses ; COVID-19 ; COVID-19 Vaccines ; Effectiveness ; Hospitalization ; Humans ; Immunization ; Infectious Disease ; Medical Statistics ; SARS-CoV-2 ; Severe acute respiratory syndrome coronavirus 2 ; Vaccine efficacy ; Vaccines</subject><ispartof>The New England journal of medicine, 2021-10, Vol.385 (15), p.1431-1433</ispartof><rights>Copyright © 2021 Massachusetts Medical Society. All rights reserved.</rights><rights>Copyright © 2021 Massachusetts Medical Society. All rights reserved. 2021 Massachusetts Medical Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c441t-bac7e15e51740e29d5da84d5cbcf1ec957fdc652e3add3271accdaed71627d1d3</citedby><cites>FETCH-LOGICAL-c441t-bac7e15e51740e29d5da84d5cbcf1ec957fdc652e3add3271accdaed71627d1d3</cites><orcidid>0000-0001-7959-7361</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.nejm.org/doi/pdf/10.1056/NEJMe2113151$$EPDF$$P50$$Gmms$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2579719633?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>230,314,780,784,885,2759,2760,26103,27924,27925,52382,54064,64385,64387,64389,72469</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34496195$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Dean, Natalie E</creatorcontrib><creatorcontrib>Hogan, Joseph W</creatorcontrib><creatorcontrib>Schnitzer, Mireille E</creatorcontrib><title>Covid-19 Vaccine Effectiveness and the Test-Negative Design</title><title>The New England journal of medicine</title><addtitle>N Engl J Med</addtitle><description>Observational studies are emerging as fundamental sources of information about vaccine effectiveness outside the controlled environment of randomized trials, and they are being used to generate evidence of effectiveness against outcomes that are underpowered in trials, such as hospitalization or intensive care unit (ICU) admission, or for narrow subgroups. 1 These studies can monitor the waning of vaccine effectiveness or measure the performance of vaccines against novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants when large randomized, controlled trials are not feasible. 2 Thompson et al. 3 now describe in the Journal the application of a retrospective test-negative design to estimate coronavirus . . .</description><subject>Bias</subject><subject>Case-Control Studies</subject><subject>Coronavirus</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 Vaccines</subject><subject>Effectiveness</subject><subject>Hospitalization</subject><subject>Humans</subject><subject>Immunization</subject><subject>Infectious Disease</subject><subject>Medical Statistics</subject><subject>SARS-CoV-2</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Vaccine efficacy</subject><subject>Vaccines</subject><issn>0028-4793</issn><issn>1533-4406</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkc1LAzEQxYMoWj9unmVBDx5czWySTYMgSK1faL2o15Ams3VLN1s324L_vSmtouJc5jA_Hu_NI2Qf6ClQkZ8N-vePmAEwELBGOiAYSzmn-TrpUJp1Uy4V2yLbIYxpHOBqk2wxzlUOSnTIea-ely4Flbwaa0uPSb8o0LblHD2GkBjvkvYNk2cMbTrAkVlckisM5cjvko3CTALurfYOebnuP_du04enm7ve5UNqOYc2HRorEQQKkJxippxwpsudsENbAFolZOFsLjJkxjmWSYhGnEEnIc-kA8d2yMVSdzobVugs-rYxEz1tyso0H7o2pf598eWbHtVz3eUCoEujwPFKoKnfZzGJrspgcTIxHutZ0JmQ8ZWgMhnRwz_ouJ41PsZbUEqCyhmL1MmSsk0dQoPFtxmgetGK_tlKxA9-BviGv2qIwNESqKqgPY6r_3U-Ac2Sklc</recordid><startdate>20211007</startdate><enddate>20211007</enddate><creator>Dean, Natalie E</creator><creator>Hogan, Joseph W</creator><creator>Schnitzer, Mireille E</creator><general>Massachusetts Medical Society</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>0TZ</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AN0</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>K0Y</scope><scope>LK8</scope><scope>M0R</scope><scope>M0T</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>M2P</scope><scope>M7P</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-7959-7361</orcidid></search><sort><creationdate>20211007</creationdate><title>Covid-19 Vaccine Effectiveness and the Test-Negative Design</title><author>Dean, Natalie E ; Hogan, Joseph W ; Schnitzer, Mireille E</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c441t-bac7e15e51740e29d5da84d5cbcf1ec957fdc652e3add3271accdaed71627d1d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bias</topic><topic>Case-Control Studies</topic><topic>Coronavirus</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 Vaccines</topic><topic>Effectiveness</topic><topic>Hospitalization</topic><topic>Humans</topic><topic>Immunization</topic><topic>Infectious Disease</topic><topic>Medical Statistics</topic><topic>SARS-CoV-2</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Vaccine efficacy</topic><topic>Vaccines</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dean, Natalie E</creatorcontrib><creatorcontrib>Hogan, Joseph W</creatorcontrib><creatorcontrib>Schnitzer, Mireille E</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Pharma and Biotech Premium PRO</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>British Nursing Database</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>New England Journal of Medicine</collection><collection>ProQuest Biological Science Collection</collection><collection>Consumer Health Database</collection><collection>Healthcare Administration Database</collection><collection>PML(ProQuest Medical Library)</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>ProQuest Science Journals</collection><collection>Biological Science Database</collection><collection>Research Library (Corporate)</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>The New England journal of medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dean, Natalie E</au><au>Hogan, Joseph W</au><au>Schnitzer, Mireille E</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Covid-19 Vaccine Effectiveness and the Test-Negative Design</atitle><jtitle>The New England journal of medicine</jtitle><addtitle>N Engl J Med</addtitle><date>2021-10-07</date><risdate>2021</risdate><volume>385</volume><issue>15</issue><spage>1431</spage><epage>1433</epage><pages>1431-1433</pages><issn>0028-4793</issn><eissn>1533-4406</eissn><abstract>Observational studies are emerging as fundamental sources of information about vaccine effectiveness outside the controlled environment of randomized trials, and they are being used to generate evidence of effectiveness against outcomes that are underpowered in trials, such as hospitalization or intensive care unit (ICU) admission, or for narrow subgroups. 1 These studies can monitor the waning of vaccine effectiveness or measure the performance of vaccines against novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants when large randomized, controlled trials are not feasible. 2 Thompson et al. 3 now describe in the Journal the application of a retrospective test-negative design to estimate coronavirus . . .</abstract><cop>United States</cop><pub>Massachusetts Medical Society</pub><pmid>34496195</pmid><doi>10.1056/NEJMe2113151</doi><tpages>3</tpages><orcidid>https://orcid.org/0000-0001-7959-7361</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0028-4793
ispartof The New England journal of medicine, 2021-10, Vol.385 (15), p.1431-1433
issn 0028-4793
1533-4406
language eng
recordid cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8451180
source MEDLINE; Free E-Journal (出版社公開部分のみ); New England Journal of Medicine Current; ProQuest Central UK/Ireland
subjects Bias
Case-Control Studies
Coronavirus
Coronaviruses
COVID-19
COVID-19 Vaccines
Effectiveness
Hospitalization
Humans
Immunization
Infectious Disease
Medical Statistics
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
Vaccine efficacy
Vaccines
title Covid-19 Vaccine Effectiveness and the Test-Negative Design
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-20T18%3A59%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Covid-19%20Vaccine%20Effectiveness%20and%20the%20Test-Negative%20Design&rft.jtitle=The%20New%20England%20journal%20of%20medicine&rft.au=Dean,%20Natalie%20E&rft.date=2021-10-07&rft.volume=385&rft.issue=15&rft.spage=1431&rft.epage=1433&rft.pages=1431-1433&rft.issn=0028-4793&rft.eissn=1533-4406&rft_id=info:doi/10.1056/NEJMe2113151&rft_dat=%3Cproquest_pubme%3E2571051927%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2579719633&rft_id=info:pmid/34496195&rfr_iscdi=true