Evidence map›Paper›PMID 32932348›Full record

ArticleCritical care medicine2020

Guiding Principles for the Conduct of Observational Critical Care Research for Coronavirus Disease 2019 Pandemics and Beyond: The Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study Registry.

Allan J Walkey, R Christopher Sheldrick, Rahul Kashyap, Vishakha K Kumar, Karen Boman, Scott Bolesta, Fernando G Zampieri, Vikas Bansal, Michael O Harhay, Ognjen Gajic

Abstract read
In one paragraph

Article in Critical care medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Observational
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Observational
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Allan J WalkeyThe Pulmonary Center, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, and Evans Center of Implementation and Improvement Sciences, Department of Medicine, Boston University School of Medicine, Boston, MA.
R Christopher SheldrickDepartment of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA.
Rahul KashyapDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Vishakha K KumarSociety of Critical Care Medicine, Mount Prospect, IL.
Karen BomanSociety of Critical Care Medicine, Mount Prospect, IL.
Scott BolestaDepartment of Pharmacy Practice, Nesbitt School of Pharmacy, Wilkes University, Wilkes-Barre, PA.
Fernando G ZampieriResearch Institute, HCor (Hospital do Coração), São Paulo, Brazil.
Vikas BansalDepartment of Anesthesiology and Perioperative Medicine, Mayo Clinic, Rochester, MN.
Michael O HarhayDepartment of Biostatistics, Epidemiology, and Informatics and Palliative and Advanced Illness Research (PAIR) Center, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
Ognjen GajicDivision of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN.

Funding

Boston Biomedical Innovation CenterU54HL119145 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI GOLAN, DAVID E., LOSCALZO, JOSEPH · 2013 to 2021
$18.8M
Targeting cardiovascular events to improve patient outcomes after sepsisR01HL139751 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2018 to 2021
$2.8M
Evaluating Routine Opioid Use during Acute Respiratory FailureR01HL151607 · NHLBI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI LIU, VINCENT, WALKEY, ALLAN J. · 2020 to 2023
$2.3M
Automated detection and prediction of atrial fibrillation during sepsisR01HL136660 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI WALKEY, ALLAN J. · 2017 to 2020
$2.2M
Improving the measurement and analysis of long-term, patient-centered outcomes following acute respiratory failureR00HL141678 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI HARHAY, MICHAEL OSCAR · 2020 to 2022
$747k
AHRQ HHS R01 HS026485NHLBI NIH HHS R00 HL141678NHLBI NIH HHS R01 HL136660NHLBI NIH HHS R01 HL139751NHLBI NIH HHS R01 HL151607NHLBI NIH HHS U54 HL119145
6 · The paper itself

Abstract

objectivesUse of observational data to inform the response and care of patients during a pandemic faces unique challenges.

designThe Society of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study COVID 2019 Registry Core data and research methodology team convened over virtual meetings throughout March to June 2020 to determine best practice goals for development of a pandemic disease registry to support rapid data collection and analysis.

settingInternational, multi-center registry of hospitalized patients. PATIENTS: None.

interventionsNone. MEASUREMENTS AND MAIN

resultsLarge-scale observational data collection requires: 1) quality assurance and harmonization across many sites; 2) a transparent process for selecting from among many potential research questions; 3) the use of best practices in design of descriptive, predictive, and inferential studies; (4) innovative approaches to characterize random error in the setting of constantly updated data; (5) rapid peer-review and reporting; and (6) transitions from a focus on discovery to implementation. Herein, we describe the guiding principles to best practices and suggestions for innovations to study design and reporting within the coronavirus disease 2019 Viral Infection and Respiratory Illness Universal Study pandemic registry.

conclusionsSociety of Critical Care Medicine Discovery Viral Infection and Respiratory Illness Universal Study coronavirus disease 2019 registry sought to develop and implement prespecified best practices combined with grassroots efforts from clinical sites worldwide in order to develop clinically useful knowledge in response to a pandemic.

Indexed as

BetacoronavirusRegistriesCoronavirus InfectionsCOVID-19Critical CareData CollectionHumansMulticenter Studies as TopicPandemicsPneumonia, ViralPublic Health SurveillanceResearch DesignSARS-CoV-2

Identifiers

PMID32932348
PMCPMC7540620

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.