Evidence map›Paper›PMID 35343208›Full record

ReviewIndian journal of pharmacology

An update of antispike severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) monoclonal antibodies.

Suparna Chatterjee, Shouvik Choudhury, Debaleena Das

Abstract readReview
In one paragraph

Review in Indian journal of pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

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

2 citing papers in PubMed.

  1. Reduction in the risk of progression of solid organ transplant recipients infected by SARS-CoV-2 treated with monoclonal antibodies.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2023
    Review
  2. Review
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

3 authors.

Suparna ChatterjeeDepartment of Pharmacology, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.
Shouvik ChoudhuryDepartment of Pharmacology, Burdwan Medical College, Burdwan, West Bengal, India.
Debaleena DasDepartment of Pharmacology, Institute of Post Graduate Medical Education and Research, Kolkata, West Bengal, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of monoclonal antibodies has expanded beyond the realm of autoimmune disease and cancer therapeutics to communicable diseases. Their antiviral activities were evaluated in some diseases such as SARS MERS (Middle East Respiratory Syndrome) and Ebola. In recent times, antispike SARS-CoV-2 monoclonal antibody cocktails (casirivimab with imdevimab and bamlanivimab with etesevimab) and single agent sotrovimab have received emergency use authorization for treatment of nonhospitalized COVID-19 patients with mild-to-moderate disease at high risk of disease progression. This review summarizes their mechanism of action, salient pharmacokinetic profile, safety and clinical trial (ongoing and completed) data. Despite evidence to support its use for the indication, the high cost of these biologics may make it unaffordable for many patients, but further clinical studies on their cost-benefit profile shall provide useful information to the scientific community and patients.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2Antibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntibodies, NeutralizingHumansAntibodies, MonoclonalAntibodies, Monoclonal, HumanizedAntibodies, NeutralizingbamlanivimabcasirivimabetesevimabimdevimabsotrovimabBamlanivimabcasirivimabCOVID-19etesevimabimdevimabmonoclonal antibodiesreviewtreatment

Identifiers

PMID35343208
PMCPMC9012417

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.