Evidence map›Paper›PMID 32201354›Full record

ArticleInternational journal of antimicrobial agents2020

SARS-CoV-2: fear versus data.

Yanis Roussel, Audrey Giraud-Gatineau, Marie-Thérèse Jimeno, Jean-Marc Rolain, Christine Zandotti, Philippe Colson, Didier Raoult

Registry-linked trialAbstract read
In one paragraph

Article in International journal of antimicrobial agents, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04705766 (The KIDCOV Study), which is not on this map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–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.

NCT04705766 recruitingnot on this mapstarted 2021, after this paper: background citation

The KIDCOV Study: ASSESSMENT of SARS-CoV-2 Without HOSPITALIZATION as a RISK FACTOR for ACUTE KIDNEY INJURY

Typeobservational_patient_registrySponsorUniversity of California, San FranciscoRan2021 to 2027Enrolled2,000ConditionsSARS-CoV Infection, Covid19, Corona Virus Infection, Acute Kidney InjuryArmsUrine Collection
3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. COVIDOUTCOME-estimating COVID severity based on mutation signatures in the SARS-CoV-2 genome.Database : the journal of biological databases and curation · 2021
    Article
  14. An integrative look at SARS‑CoV‑2 (Review).International journal of molecular medicine · 2021
    Review
  15. Different mutations in SARS-CoV-2 associate with severe and mild outcome.International journal of antimicrobial agents · 2021
    Article
  16. Article
  17. Review
  18. Review
  19. SARS-CoV-2 and Dentistry-Review.European journal of dentistry · 2020
    Article
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Yanis RousselInstitut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille Université, Institut de Recherche pour le Développement, Assistance Publique-Hôpitaux de Marseille, Microbes Evolution Phylogénie et Infections, Marseille, France.
Audrey Giraud-GatineauInstitut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille Université, Institut de Recherche pour le Développement, Assistance Publique-Hôpitaux de Marseille, Service de Santé des Armées, Vecteurs - Infections Tropicales et Méditerranéennes, Marseille, France; Centre d'Epidémiologie et de Santé Publique des Armées, Marseille, France; Assistance Publique - Hôpitaux de Marseille, Marseille, France.
Marie-Thérèse JimenoAssistance Publique - Hôpitaux de Marseille, Marseille, France.
Jean-Marc RolainInstitut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille Université, Institut de Recherche pour le Développement, Assistance Publique-Hôpitaux de Marseille, Microbes Evolution Phylogénie et Infections, Marseille, France.
Christine ZandottiInstitut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille Université, Institut de Recherche pour le Développement, Assistance Publique-Hôpitaux de Marseille, Microbes Evolution Phylogénie et Infections, Marseille, France.
Philippe ColsonInstitut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille Université, Institut de Recherche pour le Développement, Assistance Publique-Hôpitaux de Marseille, Microbes Evolution Phylogénie et Infections, Marseille, France.
Didier RaoultInstitut Hospitalo-universitaire Méditerranée Infection, Marseille, France; Aix Marseille Université, Institut de Recherche pour le Développement, Assistance Publique-Hôpitaux de Marseille, Microbes Evolution Phylogénie et Infections, Marseille, France. Electronic address: didier.raoult@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2, the novel coronavirus from China, is spreading around the world, causing a huge reaction despite its current low incidence outside China and the Far East. Four common coronaviruses are in current circulation and cause millions of cases worldwide. This article compares the incidence and mortality rates of these four common coronaviruses with those of SARS-CoV-2 in Organisation for Economic Co-operation and Development countries. It is concluded that the problem of SARS-CoV-2 is probably being overestimated, as 2.6 million people die of respiratory infections each year compared with less than 4000 deaths for SARS-CoV-2 at the time of writing.

Indexed as

BetacoronavirusCoronavirus InfectionsCOVID-19FearHumansPandemicsPneumonia, ViralSARS-CoV-2CoronavirusCOVID-19SARS-CoV-2

Identifiers

PMID32201354
PMCPMC7102597

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.