Evidence map›Paper›PMID 34441796›Full record

ArticleJournal of clinical medicine2021

Rationale for Polyclonal Intravenous Immunoglobulin Adjunctive Therapy in COVID-19 Patients: Report of a Structured Multidisciplinary Consensus.

Irene Coloretti, Giorgio Berlot, Stefano Busani, Francesco Giuseppe De Rosa, Abele Donati, Francesco Forfori, Giacomo Grasselli, Lucia Mirabella, Carlo Tascini, Pierluigi Viale and 1 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Evaluation of the Efficacy and Safety of Intravenous Immunoglobulin (IVIG) in Moderate-to-Severe Hospitalized COVID-19 Patients: A Randomized, Open-Label Parallel-Group Study.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2024
    Article
  3. Article
  4. 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

11 authors at 8 institutions in 1 country.

Irene ColorettiAnaesthesia and Intensive Care Department, University Hospital of Modena, 41124 Modena, Italy.
Giorgio BerlotAnestesia and Intensive Care Department, University Hospital of Trieste, 34127 Trieste, Italy.
Stefano BusaniAnaesthesia and Intensive Care Department, University Hospital of Modena, 41124 Modena, Italy.
Francesco Giuseppe De RosaInfectious Disease Department, Torino SCU, Hospital of Asti, 14100 Asti, Italy.ORCID 0000-0001-8338-0130
Abele DonatiAnaesthesia and Intensive Care Department, University Hospital of Ancona, 60127 Ancona, Italy.ORCID 0000-0001-6792-8741
Francesco ForforiAnaesthesia and Intensive Care Department, University Hospital of Pisa, 56124 Pisa, Italy.
Giacomo GrasselliAnaesthesia and Intensive Care Department, University Hospital of Milan, 20122 Milano, Italy.ORCID 0000-0002-1735-1400
Lucia MirabellaAnaesthesia and Intensive Care Department, University Hospital of Foggia, 71122 Foggia, Italy.
Carlo TasciniInfectious Disease Department, University Hospital of Udine, 33100 Udine, Italy.ORCID 0000-0001-9625-6024
Pierluigi VialeInfectious Disease Department, University Hospital of Bologna, 40126 Bologna, Italy.
Massimo GirardisAnaesthesia and Intensive Care Department, University Hospital of Modena, 41124 Modena, Italy.ORCID 0000-0002-2453-0829
Azienda Ospedaliera Universitaria Pisana · ITAzienda Sanitaria Locale di Asti · ITOspedali Riuniti di Ancona · ITUniversity of Bologna · ITUniversity of Foggia · ITUniversity of Milan · ITUniversity of Trieste · ITUniversity of Udine · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdjunctive therapy with polyclonal intravenous immunoglobins (IVIg) is currently used for preventing or managing infections and sepsis, especially in immunocompromised patients. The pathobiology of COVID-19 and the mechanisms of action of Ig led to the consideration of this adjunctive therapy, including in patients with respiratory failure due to the SARS-CoV-2 infection. This manuscript reports the rationale, the available data and the results of a structured consensus on intravenous Ig therapy in patients with severe COVID-19.

methodsA panel of multidisciplinary experts defined the clinical phenotypes of COVID-19 patients with severe respiratory failure and, after literature review, voted for the agreement on the rationale and the potential role of IVIg therapy for each phenotype. Due to the scarce evidence available, a modified RAND/UCLA appropriateness method was used.

resultsThree different phenotypes of COVID-19 patients with severe respiratory failure were identified: patients with an abrupt and dysregulated hyperinflammatory response (early phase), patients with suspected immune paralysis (late phase) and patients with sepsis due to a hospital-acquired superinfection (sepsis by bacterial superinfection). The rationale for intravenous Ig therapy in the early phase was considered uncertain whereas the panelists considered its use in the late phase and patients with sepsis/septic shock by bacterial superinfection appropriate.

conclusionAs with other immunotherapies, IVIg adjunctive therapy may have a potential role in the management of COVID-19 patients. The ongoing trials will clarify the appropriate target population and the true effectiveness.

Indexed as

COVID-19intravenous immunoglobulin therapyrespiratory failure

Identifiers

PMID34441796
PMCPMC8396919
OpenAlexW3191212826

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.