Analgesics
Antiandrogens
Antihistamines
Azvudine
Bromhexine
Budesonide
Colchicine
Conv. Plasma
Curcumin
Famotidine
Favipiravir
Fluvoxamine
Hydroxychlor..
Ivermectin
Lifestyle
Melatonin
Metformin
Minerals
Molnupiravir
Monoclonals
Naso/orophar..
Nigella Sativa
Nitazoxanide
PPIs
Paxlovid
Quercetin
Remdesivir
Thermotherapy
Vitamins
More

Other
Feedback
Home
Top
Results
Abstract
All PPI studies
Meta analysis
 
Feedback
Home
next
study
previous
study
c19early.org COVID-19 treatment researchPPIsPPIs (more..)
Melatonin Meta
Metformin Meta
Antihistamines Meta
Azvudine Meta Molnupiravir Meta
Bromhexine Meta
Budesonide Meta
Colchicine Meta Nigella Sativa Meta
Conv. Plasma Meta Nitazoxanide Meta
Curcumin Meta PPIs Meta
Famotidine Meta Paxlovid Meta
Favipiravir Meta Quercetin Meta
Fluvoxamine Meta Remdesivir Meta
Hydroxychlor.. Meta Thermotherapy Meta
Ivermectin Meta

All Studies   Meta Analysis    Recent:   

Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series

Argenziano et al., BMJ, doi:10.1136/bmj.m1996
May 2020  
  Post
  Facebook
Share
  Source   PDF   All Studies   Meta AnalysisMeta
ICU admission 1% Improvement Relative Risk Hospitalization -9% PPIs for COVID-19  Argenziano et al.  Prophylaxis Is prophylaxis with PPIs beneficial for COVID-19? Retrospective 1,000 patients in the USA (March - April 2020) Higher hospitalization with PPIs (p=0.012) c19early.org Argenziano et al., BMJ, May 2020 FavorsPPI Favorscontrol 0 0.5 1 1.5 2+
PPIs for COVID-19
1st treatment shown to increase risk in September 2020
 
*, now with p = 0.00000019 from 38 studies.
* From meta analysis with ≥3 studies.
5,000+ studies for 104 treatments. c19early.org
Retrospective 1,000 hospitalized COVID-19 patients in New York City showing high rates of acute kidney injury, inpatient dialysis, prolonged intubation times, and length of stay compared to previous cohorts.
risk of ICU admission, 1.5% lower, RR 0.99, p = 1.00, treatment 38 of 163 (23.3%), control 198 of 837 (23.7%), NNT 292.
risk of hospitalization, 9.1% higher, RR 1.09, p = 0.01, treatment 149 of 163 (91.4%), control 701 of 837 (83.8%).
Effect extraction follows pre-specified rules prioritizing more serious outcomes. Submit updates
Argenziano et al., 29 May 2020, retrospective, USA, peer-reviewed, median age 63.0, 48 authors, study period 1 March, 2020 - 5 April, 2020. Contact: ruijun.chen@columbia.edu.
This PaperPPIsAll
Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: retrospective case series
Michael G Argenziano, Samuel L Bruce, Cody L Slater, Jonathan R Tiao, Matthew R Baldwin, R Graham Barr, Bernard P Chang, Katherine H Chau, Justin J Choi, Nicholas Gavin, Parag Goyal, Angela M Mills, Ashmi A Patel, Marie-Laure S Romney, Monika M Safford, Neil W Schluger, Soumitra Sengupta, Magdalena E Sobieszczyk, Jason E Zucker, Paul A Asadourian, Fletcher M Bell, Rebekah Boyd, Matthew F Cohen, Macalistair I Colquhoun, Lucy A Colville, Joseph H De Jonge, Lyle B Dershowitz, Shirin A Dey, Katherine A Eiseman, Zachary P Girvin, Daniella T Goni, Amro A Harb, Nicholas Herzik, Sarah Householder, Lara E Karaaslan, Heather Lee, Evan Lieberman, Andrew Ling, Ree Lu, Arthur Y Shou, Alexander C Sisti, Zachary E Snow, Colin P Sperring, Yuqing Xiong, Henry W Zhou, Karthik Natarajan, George Hripcsak, Ruijun Chen
BMJ, doi:10.1136/bmj.m1996
To characterize patients with coronavirus disease 2019 (covid-19) in a large New York City medical center and describe their clinical course across the emergency department, hospital wards, and intensive care units. DESIGN Retrospective manual medical record review.
We wish to acknowledge the dedication, commitment, and sacrifice of the staff, providers and personnel at our institutions through the local covid-19 crisis and express our profound sadness about the suffering and loss of our patients, their families, and our community. We would also like to express our gratitude to the patients whose records were used in this study, without whom this research would not be possible. Finally, we would like to acknowledge the Weill Cornell Medicine COVID-19 Registry Team, which developed the chart abstraction tool used in this study and assisted with training of the VP&S medical students in the chart abstraction process. Data sharing: Requests for the statistical code and dataset can be made to the corresponding author. Contributors The corresponding author affirms that the manuscript is an honest, accurate, and transparent account of the study being reported. No important aspects of the study have been omitted, and all discrepancies from the study as planned have been explained. Dissemination to participants and related patient and public communities: We disseminated the findings of this study to all clinical departments caring for patients with covid-19 at authoraffiliated institutions. In addition, our media relations departments will plan to further disseminate through press releases, social media, and on institutional web sites upon publication. Web appendix: Supplementary appendix
References
Arentz, Yim, Klaff, Characteristics and outcomes of 21 critically ill patients with covid-19 in Washington State, JAMA, doi:10.1001/jama.2020.4326
Beumer, Koch, Van Beuningen, Influenza virus and factors that are associated with ICU admission, pulmonary co-infections and ICU mortality, J Crit Care, doi:10.1016/j.jcrc.2018.11.013
Bhatraju, Ghassemieh, Nichols, Covid-19 in critically ill patients in the Seattle region -case series, N Engl J Med, doi:10.1056/NEJMoa2004500
Cascella, Rajnik, Cuomo, Dulebohn, Napoli, Features, evaluation and treatment coronavirus (covid-19)
Cummings, Baldwin, Abrams, Epidemiology, clinical course, and outcomes of critically ill adults with COVID-19 in New York City: a prospective cohort study, Lancet, doi:10.1016/S0140-6736(20)31189-2
Development, Team, R: A language and environment for statistical computing
Emanuel, Persad, Upshur, Fair allocation of scarce medical resources in the time of covid-19, N Engl J Med, doi:10.1056/NEJMsb2005114
Fletcher, Kennedy, Ghosh, Persistent neuromuscular and neurophysiologic abnormalities in long-term survivors of prolonged critical illness, Crit Care Med, doi:10.1097/01.CCM.0000053651.38421.D9
Goyal, Choi, Pinheiro, Clinical characteristics of covid-19 in New York City, N Engl J Med, doi:10.1056/NEJMc2010419
Grasselli, Zangrillo, Zanella, Baseline characteristics and outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of the Lombardy region, JAMA
Guan, Ni, Hu, China Medical Treatment Expert Group for Covid-19. Clinical characteristics of coronavirus disease 2019 in China, N Engl J Med, doi:10.1056/NEJMoa2002032
Harris, Taylor, Thielke, Payne, Gonzalez et al., Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support, J Biomed Inform, doi:10.1016/j.jbi.2008.08.010
Hartigan, Algorithm AS 217: Computation of the dip statistic to test for unimodality, J R Stat Soc Ser C Appl Stat
Helms, Kremer, Merdji, Neurologic features in severe SARS-CoV-2 Infection, N Engl J Med, doi:10.1056/NEJMc2008597
Hollander, Carr, Virtually perfect? Telemedicine for covid-19, N Engl J Med, doi:10.1056/NEJMp2003539
Huang, Wang, Li, Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China, Lancet, doi:10.1016/S0140-6736(20)30183-5
Kim, Park, Park, Song, Associations between prolonged intubation and developing post-extubation dysphagia and aspiration pneumonia in non-neurologic critically ill patients, Ann Rehabil Med, doi:10.5535/arm.2015.39.5.763
Petrilli, Jones, Yang, Factors associated with hospitalization and critical illness among 4,103 patients with COVID-19 disease in New York City
Prin, Wunsch, International comparisons of intensive care: informing outcomes and improving standards, Curr Opin Crit Care, doi:10.1097/MCC.0b013e32835914d5
Ranney, Griffeth, Jha, Critical supply shortages -The need for ventilators and personal protective equipment during the covid-19 pandemic, N Engl J Med, doi:10.1056/NEJMp2006141
Rello, Rodríguez, Ibañez, Intensive care adult patients with severe respiratory failure caused by Influenza A (H1N1)v in Spain, Crit Care, doi:10.1186/cc8044
Richardson, Hirsch, Narasimhan, Presenting characteristics, comorbidities, and outcomes among 5700 patients hospitalized with covid-19 in the New York City area, JAMA, doi:10.1001/jama.2020.6775
Sessler, Gosnell, Grap, The Richmond Agitation-Sedation Scale: validity and reliability in adult intensive care unit patients, Am J Respir Crit Care Med, doi:10.1164/rccm.2107138
Zhou, Yu, Du, Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study, Lancet, doi:10.1016/S0140-6736(20)30566-3
{ 'indexed': {'date-parts': [[2024, 7, 21]], 'date-time': '2024-07-21T06:30:17Z', 'timestamp': 1721543417584}, 'reference-count': 26, 'publisher': 'BMJ', 'license': [ { 'start': { 'date-parts': [[2020, 5, 29]], 'date-time': '2020-05-29T00:00:00Z', 'timestamp': 1590710400000}, 'content-version': 'unspecified', 'delay-in-days': 0, 'URL': 'http://creativecommons.org/licenses/by-nc/4.0/'}], 'content-domain': {'domain': ['bmj.com'], 'crossmark-restriction': True}, 'abstract': '<jats:title>Abstract</jats:title>\n' ' <jats:sec>\n' ' <jats:title>Objective</jats:title>\n' ' <jats:p>To characterize patients with coronavirus disease 2019 (covid-19) in a ' 'large New York City medical center and describe their clinical course across the emergency ' 'department, hospital wards, and intensive care units.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Design</jats:title>\n' ' <jats:p>Retrospective manual medical record review.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Setting</jats:title>\n' ' <jats:p>NewYork-Presbyterian/Columbia University Irving Medical Center, a ' 'quaternary care academic medical center in New York City.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Participants</jats:title>\n' ' <jats:p>The first 1000 consecutive patients with a positive result on the reverse ' 'transcriptase polymerase chain reaction assay for severe acute respiratory syndrome ' 'coronavirus 2 (SARS-CoV-2) who presented to the emergency department or were admitted to ' 'hospital between 1 March and 5 April 2020. Patient data were manually abstracted from ' 'electronic medical records.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Main outcome measures</jats:title>\n' ' <jats:p>Characterization of patients, including demographics, presenting ' 'symptoms, comorbidities on presentation, hospital course, time to intubation, complications, ' 'mortality, and disposition.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Results</jats:title>\n' ' <jats:p>Of the first 1000 patients, 150 presented to the emergency department, ' '614 were admitted to hospital (not intensive care units), and 236 were admitted or ' 'transferred to intensive care units. The most common presenting symptoms were cough ' '(732/1000), fever (728/1000), and dyspnea (631/1000). Patients in hospital, particularly ' 'those treated in intensive care units, often had baseline comorbidities including ' 'hypertension, diabetes, and obesity. Patients admitted to intensive care units were older, ' 'predominantly male (158/236, 66.9%), and had long lengths of stay (median 23 days, ' 'interquartile range 12-32 days); 78.0% (184/236) developed acute kidney injury and 35.2% ' '(83/236) needed dialysis. Only 4.4% (6/136) of patients who required mechanical ventilation ' 'were first intubated more than 14 days after symptom onset. Time to intubation from symptom ' 'onset had a bimodal distribution, with modes at three to four days, and at nine days. As of ' '30 April, 90 patients remained in hospital and 211 had died in hospital.</jats:p>\n' ' </jats:sec>\n' ' <jats:sec>\n' ' <jats:title>Conclusions</jats:title>\n' ' <jats:p>Patients admitted to hospital with covid-19 at this medical center faced ' 'major morbidity and mortality, with high rates of acute kidney injury and inpatient dialysis, ' 'prolonged intubations, and a bimodal distribution of time to intubation from symptom ' 'onset.</jats:p>\n' ' </jats:sec>', 'DOI': '10.1136/bmj.m1996', 'type': 'journal-article', 'created': {'date-parts': [[2020, 5, 29]], 'date-time': '2020-05-29T14:54:33Z', 'timestamp': 1590764073000}, 'page': 'm1996', 'update-policy': 'http://dx.doi.org/10.1136/crossmarkpolicy', 'source': 'Crossref', 'is-referenced-by-count': 482, 'title': 'Characterization and clinical course of 1000 patients with coronavirus disease 2019 in New York: ' 'retrospective case series', 'prefix': '10.1136', 'author': [ {'given': 'Michael G', 'family': 'Argenziano', 'sequence': 'first', 'affiliation': []}, {'given': 'Samuel L', 'family': 'Bruce', 'sequence': 'additional', 'affiliation': []}, {'given': 'Cody L', 'family': 'Slater', 'sequence': 'additional', 'affiliation': []}, {'given': 'Jonathan R', 'family': 'Tiao', 'sequence': 'additional', 'affiliation': []}, {'given': 'Matthew R', 'family': 'Baldwin', 'sequence': 'additional', 'affiliation': []}, {'given': 'R Graham', 'family': 'Barr', 'sequence': 'additional', 'affiliation': []}, {'given': 'Bernard P', 'family': 'Chang', 'sequence': 'additional', 'affiliation': []}, {'given': 'Katherine H', 'family': 'Chau', 'sequence': 'additional', 'affiliation': []}, {'given': 'Justin J', 'family': 'Choi', 'sequence': 'additional', 'affiliation': []}, {'given': 'Nicholas', 'family': 'Gavin', 'sequence': 'additional', 'affiliation': []}, {'given': 'Parag', 'family': 'Goyal', 'sequence': 'additional', 'affiliation': []}, {'given': 'Angela M', 'family': 'Mills', 'sequence': 'additional', 'affiliation': []}, {'given': 'Ashmi A', 'family': 'Patel', 'sequence': 'additional', 'affiliation': []}, {'given': 'Marie-Laure S', 'family': 'Romney', 'sequence': 'additional', 'affiliation': []}, {'given': 'Monika M', 'family': 'Safford', 'sequence': 'additional', 'affiliation': []}, {'given': 'Neil W', 'family': 'Schluger', 'sequence': 'additional', 'affiliation': []}, {'given': 'Soumitra', 'family': 'Sengupta', 'sequence': 'additional', 'affiliation': []}, {'given': 'Magdalena E', 'family': 'Sobieszczyk', 'sequence': 'additional', 'affiliation': []}, {'given': 'Jason E', 'family': 'Zucker', 'sequence': 'additional', 'affiliation': []}, {'given': 'Paul A', 'family': 'Asadourian', 'sequence': 'additional', 'affiliation': []}, {'given': 'Fletcher M', 'family': 'Bell', 'sequence': 'additional', 'affiliation': []}, {'given': 'Rebekah', 'family': 'Boyd', 'sequence': 'additional', 'affiliation': []}, {'given': 'Matthew F', 'family': 'Cohen', 'sequence': 'additional', 'affiliation': []}, {'given': 'MacAlistair I', 'family': 'Colquhoun', 'sequence': 'additional', 'affiliation': []}, {'given': 'Lucy A', 'family': 'Colville', 'sequence': 'additional', 'affiliation': []}, {'given': 'Joseph H', 'family': 'de Jonge', 'sequence': 'additional', 'affiliation': []}, {'given': 'Lyle B', 'family': 'Dershowitz', 'sequence': 'additional', 'affiliation': []}, {'given': 'Shirin A', 'family': 'Dey', 'sequence': 'additional', 'affiliation': []}, {'given': 'Katherine A', 'family': 'Eiseman', 'sequence': 'additional', 'affiliation': []}, {'given': 'Zachary P', 'family': 'Girvin', 'sequence': 'additional', 'affiliation': []}, {'given': 'Daniella T', 'family': 'Goni', 'sequence': 'additional', 'affiliation': []}, {'given': 'Amro A', 'family': 'Harb', 'sequence': 'additional', 'affiliation': []}, {'given': 'Nicholas', 'family': 'Herzik', 'sequence': 'additional', 'affiliation': []}, {'given': 'Sarah', 'family': 'Householder', 'sequence': 'additional', 'affiliation': []}, {'given': 'Lara E', 'family': 'Karaaslan', 'sequence': 'additional', 'affiliation': []}, {'given': 'Heather', 'family': 'Lee', 'sequence': 'additional', 'affiliation': []}, {'given': 'Evan', 'family': 'Lieberman', 'sequence': 'additional', 'affiliation': []}, {'given': 'Andrew', 'family': 'Ling', 'sequence': 'additional', 'affiliation': []}, {'given': 'Ree', 'family': 'Lu', 'sequence': 'additional', 'affiliation': []}, {'given': 'Arthur Y', 'family': 'Shou', 'sequence': 'additional', 'affiliation': []}, {'given': 'Alexander C', 'family': 'Sisti', 'sequence': 'additional', 'affiliation': []}, {'given': 'Zachary E', 'family': 'Snow', 'sequence': 'additional', 'affiliation': []}, {'given': 'Colin P', 'family': 'Sperring', 'sequence': 'additional', 'affiliation': []}, {'given': 'Yuqing', 'family': 'Xiong', 'sequence': 'additional', 'affiliation': []}, {'given': 'Henry W', 'family': 'Zhou', 'sequence': 'additional', 'affiliation': []}, {'given': 'Karthik', 'family': 'Natarajan', 'sequence': 'additional', 'affiliation': []}, {'given': 'George', 'family': 'Hripcsak', 'sequence': 'additional', 'affiliation': []}, { 'ORCID': 'http://orcid.org/0000-0001-5281-4143', 'authenticated-orcid': False, 'given': 'Ruijun', 'family': 'Chen', 'sequence': 'additional', 'affiliation': []}], 'member': '239', 'published-online': {'date-parts': [[2020, 5, 29]]}, 'reference': [ { 'key': '2020060212350537000_369.may29_3.m1996.1', 'unstructured': 'NYC Department of Health . COVID-19. Data (Basel) 2020.'}, { 'key': '2020060212350537000_369.may29_3.m1996.2', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMp2006141'}, { 'key': '2020060212350537000_369.may29_3.m1996.3', 'doi-asserted-by': 'publisher', 'DOI': '10.1097/MCC.0b013e32835914d5'}, { 'key': '2020060212350537000_369.may29_3.m1996.4', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMsb2005114'}, { 'key': '2020060212350537000_369.may29_3.m1996.5', 'doi-asserted-by': 'publisher', 'DOI': '10.1001/jama.2020.4326'}, { 'key': '2020060212350537000_369.may29_3.m1996.6', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMc2010419'}, { 'key': '2020060212350537000_369.may29_3.m1996.7', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMoa2004500'}, { 'key': '2020060212350537000_369.may29_3.m1996.8', 'unstructured': 'Cascella M Rajnik M Cuomo A Dulebohn SC Di Napoli R . Features, ' 'evaluation and treatment coronavirus (covid-19). StatPearls, 2020.'}, { 'key': '2020060212350537000_369.may29_3.m1996.9', 'doi-asserted-by': 'publisher', 'DOI': '10.1001/jama.2020.6775'}, { 'key': '2020060212350537000_369.may29_3.m1996.10', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/S0140-6736(20)30183-5'}, { 'key': '2020060212350537000_369.may29_3.m1996.11', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/S0140-6736(20)30566-3'}, { 'key': '2020060212350537000_369.may29_3.m1996.12', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMoa2002032'}, { 'key': '2020060212350537000_369.may29_3.m1996.13', 'doi-asserted-by': 'crossref', 'unstructured': 'Grasselli G Zangrillo A Zanella A . Baseline characteristics and ' 'outcomes of 1591 patients infected with SARS-CoV-2 admitted to ICUs of ' 'the Lombardy region. JAMA 2020.', 'DOI': '10.1001/jama.2020.5394'}, { 'key': '2020060212350537000_369.may29_3.m1996.14', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/S0140-6736(20)31189-2'}, { 'key': '2020060212350537000_369.may29_3.m1996.15', 'doi-asserted-by': 'crossref', 'unstructured': 'Petrilli CM, Jones SA, Yang J, et al. Factors associated with ' 'hospitalization and critical illness among 4,103 patients with COVID-19 ' 'disease in New York City. medRxiv. 2020.', 'DOI': '10.1101/2020.04.08.20057794'}, { 'key': '2020060212350537000_369.may29_3.m1996.16', 'doi-asserted-by': 'publisher', 'DOI': '10.1164/rccm.2107138'}, { 'key': '2020060212350537000_369.may29_3.m1996.17', 'unstructured': 'NYS Department of Health. NYS Health Profiles - New York Presbyterian - ' 'Columbia Presbyterian Center 2020.'}, { 'key': '2020060212350537000_369.may29_3.m1996.18', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.jbi.2008.08.010'}, { 'key': '2020060212350537000_369.may29_3.m1996.19', 'unstructured': 'R Development Core Team . R: A language and environment for statistical ' 'computing. R Foundation for Statistical Computing, 2010.'}, { 'key': '2020060212350537000_369.may29_3.m1996.20', 'first-page': '320', 'article-title': 'Algorithm AS 217: Computation of the dip statistic to test for ' 'unimodality', 'volume': '34', 'author': 'Hartigan', 'year': '1985', 'journal-title': 'J R Stat Soc Ser C Appl Stat'}, { 'key': '2020060212350537000_369.may29_3.m1996.21', 'doi-asserted-by': 'publisher', 'DOI': '10.1016/j.jcrc.2018.11.013'}, { 'key': '2020060212350537000_369.may29_3.m1996.22', 'doi-asserted-by': 'publisher', 'DOI': '10.1186/cc8044'}, { 'key': '2020060212350537000_369.may29_3.m1996.23', 'doi-asserted-by': 'publisher', 'DOI': '10.1097/01.CCM.0000053651.38421.D9'}, { 'key': '2020060212350537000_369.may29_3.m1996.24', 'doi-asserted-by': 'publisher', 'DOI': '10.5535/arm.2015.39.5.763'}, { 'key': '2020060212350537000_369.may29_3.m1996.25', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMc2008597'}, { 'key': '2020060212350537000_369.may29_3.m1996.26', 'doi-asserted-by': 'publisher', 'DOI': '10.1056/NEJMp2003539'}], 'container-title': 'BMJ', 'original-title': [], 'language': 'en', 'link': [ { 'URL': 'http://data.bmj.org/tdm/10.1136/bmj.m1996', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'text-mining'}, { 'URL': 'https://syndication.highwire.org/content/doi/10.1136/bmj.m1996', 'content-type': 'unspecified', 'content-version': 'vor', 'intended-application': 'similarity-checking'}], 'deposited': { 'date-parts': [[2020, 9, 26]], 'date-time': '2020-09-26T04:02:27Z', 'timestamp': 1601092947000}, 'score': 1, 'resource': {'primary': {'URL': 'https://www.bmj.com/lookup/doi/10.1136/bmj.m1996'}}, 'subtitle': [], 'short-title': [], 'issued': {'date-parts': [[2020, 5, 29]]}, 'references-count': 26, 'alternative-id': ['10.1136/bmj.m1996'], 'URL': 'http://dx.doi.org/10.1136/bmj.m1996', 'relation': { 'has-preprint': [ { 'id-type': 'doi', 'id': '10.1101/2020.04.20.20072116', 'asserted-by': 'object'}]}, 'ISSN': ['1756-1833'], 'subject': [], 'container-title-short': 'BMJ', 'published': {'date-parts': [[2020, 5, 29]]}}
Loading..
Please send us corrections, updates, or comments. c19early involves the extraction of 100,000+ datapoints from thousands of papers. Community updates help ensure high accuracy. Treatments and other interventions are complementary. All practical, effective, and safe means should be used based on risk/benefit analysis. No treatment or intervention is 100% available and effective for all current and future variants. We do not provide medical advice. Before taking any medication, consult a qualified physician who can provide personalized advice and details of risks and benefits based on your medical history and situation. FLCCC and WCH provide treatment protocols.
  or use drag and drop   
Submit