Evidence map›Paper›PMID 32334646›Full record

ReviewThe lancet. Diabetes & endocrinology2020

Practical recommendations for the management of diabetes in patients with COVID-19.

Stefan R Bornstein, Francesco Rubino, Kamlesh Khunti, Geltrude Mingrone, David Hopkins, Andreas L Birkenfeld, Bernhard Boehm, Stephanie Amiel, Richard Ig Holt, Jay S Skyler and 10 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in The lancet. Diabetes & endocrinology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 465 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
465citing papers in PubMed, 11 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

465 citing papers in PubMed, 11 syntheses or guidelines pooled it.

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

405 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors.

Stefan R BornsteinDepartment of Medicine III, University Hospital Carl Gustav Carus, Dresden, Germany; Paul Langerhans Institute Dresden of the Helmholtz Center Munich, University Hospital Carl Gustav Carus, Dresden, Germany; Department of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK; Department of Endocrinology and Diabetology, University Hospital Zurich, Zurich, Switzerland; Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany. Electronic address: Stefan.Bornstein@uniklinikum-dresden.de.
Francesco RubinoDepartment of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK; Bariatric and Metabolic Surgery, King's College Hospital, London, UK.
Kamlesh KhuntiDiabetes Research Centre, University of Leicester, Leicester, UK.
Geltrude MingroneDepartment of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK; Fondazione Policlinico Universitario Agostino Gemelli Istituto Di Ricovero e Cura a Carattere Scientifico, Rome, Italy; Department of Internal Medicine, Università Cattolica del Sacro Cuore, Rome, Italy.
David HopkinsDepartment of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK; Institute of Diabetes Endocrinology and Obesity, King's Health Partners, London, UK.
Andreas L BirkenfeldDepartment of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany; Department of Diabetology, Endocrinology and Nephrology, University Hospital Tübingen, Tübingen, Germany; Institute for Diabetes Research and Metabolic Diseases of the Helmholtz Centre Munich at the University of Tübingen, Tübingen, Germany.
Bernhard BoehmDepartment of Endocrinology, Tan Tock Seng Hospital, Singapore, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore.
Stephanie AmielDepartment of Diabetes, School of Life Course Science and Medicine, King's College London, London, UK.
Richard Ig HoltHuman Development and Health, Faculty of Medicine, University of Southampton, UK.
Jay S SkylerDiabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA.
J Hans DeVriesDepartment of Endocrinology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Profil Institute for Metabolic Research, Neuss, Germany.
Eric RenardMontpellier University Hospital and Institute of Functional Genomics, Centre national de la recherche scientifique, INSERM, University of Montpellier, Montpellier, France.
Robert H EckelDivision of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Paul ZimmetDepartment of Diabetes, Central Clinical School, Monash University, Melbourne, VIC, Australia.
Kurt George AlbertiDivision of Diabetes, Endocrinology and Metabolism, Imperial College, London, UK.
Josep VidalCentro de Investigación Biomédica en Red en Diabetes y Enfermedades Metabólicas Asociadas, Barcelona, Spain.
Bruno GelonezeObesity and Comorbities Research Center, Laboratory of Investigation in Metabolism and Diabetes/Gastrocentro, Universidade de Campinas, Campinas, São Paulo, Brazil.
Juliana C ChanDepartment of Medicine and Therapeutics, Hong Kong Institute of Diabetes and Obesity and Li Ka Shing Institute of Health Science, The Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong Special Administrative Region, China.
Linong JiDepartment of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China.
Barbara LudwigDepartment of Medicine III, University Hospital Carl Gustav Carus, Dresden, Germany; Paul Langerhans Institute Dresden of the Helmholtz Center Munich, University Hospital Carl Gustav Carus, Dresden, Germany; Department of Endocrinology and Diabetology, University Hospital Zurich, Zurich, Switzerland; Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; Deutsche Forschungsgemeinschaft-Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany; German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes is one of the most important comorbidities linked to the severity of all three known human pathogenic coronavirus infections, including severe acute respiratory syndrome coronavirus 2. Patients with diabetes have an increased risk of severe complications including Adult Respiratory Distress Syndrome and multi-organ failure. Depending on the global region, 20-50% of patients in the coronavirus disease 2019 (COVID-19) pandemic had diabetes. Given the importance of the link between COVID-19 and diabetes, we have formed an international panel of experts in the field of diabetes and endocrinology to provide some guidance and practical recommendations for the management of diabetes during the pandemic. We aim to briefly provide insight into potential mechanistic links between the novel coronavirus infection and diabetes, present practical management recommendations, and elaborate on the differential needs of several patient groups.

Indexed as

PandemicsBetacoronavirusComorbidityContraindications, DrugCoronavirus InfectionsCOVID-19Diabetes Mellitus, Type 1Diabetes Mellitus, Type 2HumansHypoglycemic AgentsMultiple Organ FailurePneumonia, ViralPractice Guidelines as TopicRespiratory Distress SyndromeSARS-CoV-2Hypoglycemic Agents

Identifiers

PMID32334646
PMCPMC7180013

What OpenQuestion holds

Textmetadata
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.