Evidence map›Paper›PMID 33173853›Full record

ArticleEClinicalMedicine2020

Eculizumab as an emergency treatment for adult patients with severe COVID-19 in the intensive care unit: A proof-of-concept study.

Djillali Annane, Nicholas Heming, Lamiae Grimaldi-Bensouda, Véronique Frémeaux-Bacchi, Marie Vigan, Anne-Laure Roux, Armance Marchal, Hugues Michelon, Martin Rottman, Pierre Moine and 1 more

Open access · goldAbstract read
In one paragraph

Article in EClinicalMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 6 pooled it
3.7field-weighted citation impact, top 4% of its field
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

106 citing papers in PubMed, 6 syntheses or guidelines pooled it, 180 citations in OpenAlex.

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

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

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

11 authors at 3 institutions in 1 country.

Djillali AnnaneFHU SEPSIS (Saclay and Paris Seine Nord Endeavour to PerSonalize Interventions for Sepsis), RHU RECORDS (Rapid rEcognition of CORticosteroiD resistant or sensitive Sepsis), Department of Intensive Care, Hôpital Raymond Poincaré (APHP), Laboratory of Infection & Inflammation - U1173, School of Medicine Simone Veil, University Versailles Saint Quentin - University Paris Saclay, INSERM, 104 Boulevard Raymond Poincaré, Garches 92380, France.
Nicholas HemingDepartment of Intensive Care, Hôpital Raymond Poincaré (APHP), Laboratory of Infection & Inflammation - U1173, School of Medicine Simone Veil, University Versailles Saint Quentin - University Paris Saclay, INSERM, Garches, France.
Lamiae Grimaldi-BensoudaClinical Research Unit AP-HP, Paris-Saclay, Hôpital Raymond Poincaré, School of Medicine Simone Veil, University Versailles Saint Quentin - University Paris Saclay, INSERM, CESP Anti-Infective Evasion and Pharmacoepidemiology Team, F-78180 Montigny-Le-Bretonneux, France.
Véronique Frémeaux-BacchiLaboratory of Immunology, Georges-Pompidou European Hospital (APHP), Invasive Bacterial Infection Unit and National Reference Center for Meningococci, Pasteur Institute, Centre de Recherche des Cordeliers, Paris, France.
Marie ViganClinical Research Unit, AP-HP, Paris-Saclay, Hôpital Raymond Poincaré, Garches, France.
Anne-Laure RouxDepartment of Microbiology and Innovative Biomarkers Platform, Hôpital Raymond Poincaré (APHP), Laboratory of Infection & Inflammation - U1173, School of Medicine Simone Veil, University Versailles Saint Quentin - University Paris Saclay, INSERM, Garches, France.
Armance MarchalLaboratory of Immunology, Georges-Pompidou European Hospital (APHP), Paris, France.
Hugues MichelonPharmacy Department, Hôpital Raymond Poincaré (APHP), University Paris Saclay, Garches, France.
Martin RottmanDepartment of Microbiology and Innovative Biomarkers Platform, Hôpital Raymond Poincaré (APHP), Laboratory of Infection & Inflammation - U1173, School of Medicine Simone Veil, University Versailles Saint Quentin - University Paris Saclay, INSERM, Garches, France.
Pierre MoineDepartment of Intensive Care, Hôpital Raymond Poincaré (APHP), Laboratory of Infection & Inflammation - U1173, School of Medicine Simone Veil, University Versailles Saint Quentin - University Paris Saclay, INSERM, Garches, France.
Garches COVID 19 Collaborative Group
Inserm · FRAssistance Publique – Hôpitaux de Paris · FRInstitut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplement pathway inhibition may provide benefit for severe acute respiratory illnesses caused by viral infections such as COVID-19. We present results from a nonrandomized proof-of-concept study of complement C5 inhibitor eculizumab for treatment of severe COVID-19.

methodsAll patients (

findingsAt day 15, estimated survival was 82.9% (95% CI: 70.4%‒95.3%) with eculizumab and 62.2% (48.1%‒76.4%) without eculizumab (log-rank test,

interpretationFindings from this proof-of-concept study suggest eculizumab may improve survival and reduce hypoxia in patients with severe COVID-19. Randomized studies evaluating the efficacy and safety of this treatment approach are needed.

fundingProgramme d'Investissements d'Avenir: ANR-18-RHUS60004.

Indexed as

Acute respiratory distress syndromeC5 inhibitorComplement pathwayCoronavirusCytokinesPneumoniaSepsis

Identifiers

PMID33173853
PMCPMC7644240
OpenAlexW3096274861

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.