Evidence map›Paper›PMID 36843665›Full record

ArticleJournal of pharmaceutical innovation2023

The Landscape of Neutralizing Monoclonal Antibodies (nAbs) for Treatment and Prevention of COVID-19.

Aline de Almeida Oliveira, Diana Praia Borges Freire, Ana Rodrigues de Andrade, Amanda de Miranda Marques, Luciana da Silva Madeira, José Procópio Moreno Senna, Ivna Alana Freitas Brasileiro da Silveira, Beatriz de Castro Fialho

Open access · hybridAbstract read
In one paragraph

Article in Journal of pharmaceutical innovation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Landscape ofMolecular therapy. Methods & clinical development · 2025
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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

8 authors at 1 institution in 1 country.

Aline de Almeida OliveiraImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-1256-8539
Diana Praia Borges FreireImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-6954-2129
Ana Rodrigues de AndradeImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-7393-1389
Amanda de Miranda MarquesImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-1112-9104
Luciana da Silva MadeiraImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-7050-3207
José Procópio Moreno SennaImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-0837-7414
Ivna Alana Freitas Brasileiro da SilveiraImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0002-1394-3660
Beatriz de Castro FialhoImmunobiological Technology Institute, Bio-Manguinhos/Fiocruz, Oswaldo Cruz Foundation, Avenida Brasil, 4.365, NAPA, Manguinhos, Rio de Janeiro, RJ 21040‑900 Brazil.ORCID 0000-0001-8908-2054
Fundação Oswaldo Cruz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: After nearly 3 years of the COVID-19 pandemic, even though a vast body of knowledge and products (including vaccines and treatments) have been developed and disseminated, the virus is still evolving and new variants arising. Consequently, thousands of lives continue to be lost. Neutralizing monoclonal antibodies (nAbs) are promising drugs that emerged to treat SARS-CoV-2. In the uncertainty of the current situation, there is the question of whether organizations should continue to invest in this technology. To help decision-making in scientifical and pharmaceutical organizations, it is of major importance to monitor the development of products and technologies. Therefore, the aim of this study is analyze the landscape of nAbs for COVID-19. Methods: The scenario of 473 biotherapeutics focusing on nAbs was evaluated using foresight techniques and a review of literature. Data were obtained from structured and semi-structured databases and processed for treatment, cleaning, consistency, validation, and enrichment. Results: We identified 227 nAbs and performed an extensive literature review of 16 nAbs in late clinical development, including development technologies, responses to variants of concern (VOCs), manufacturing, and clinical aspects. Conclusions: Even though the emergence of new VOCs is a threat to the effectiveness of this treatment, demanding constant genomic surveillance, the use of nAbs to treat and prevent COVID-19 will probably continue to be relevant due to excellent safety profiles and the possibility of immediate immunity transfer, especially in patients showing inadequate immunological response to vaccination. Therefore, we suggest that organizations should keep investing in improvements in this technology.

Indexed as

Antibody therapeuticsCOVID-19Neutralizing antibodySARS-CoV-2Technology foresight

Identifiers

PMID36843665
PMCPMC9943047
OpenAlexW4321435546

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.