Evidence map›Paper›PMID 34766160›Full record

ReviewView (Beijing, China)2022

Therapeutic antibodies under development for SARS-CoV-2.

Zetong Ma, MengMei Zhu, Shuyi Zhang, Kewen Qian, Chuqi Wang, Wenyan Fu, Changhai Lei, Shi Hu

Abstract readReview
In one paragraph

Review in View (Beijing, China), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  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

8 authors.

Zetong MaDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.
MengMei ZhuDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.
Shuyi ZhangDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.
Kewen QianDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.
Chuqi WangDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.
Wenyan FuDepartment of Assisted Reproduction Shanghai Ninth People's Hospital Shanghai Jiao Tong University School of Medicine Shanghai China.
Changhai LeiDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.
Shi HuDepartment of Biophysics College of Basic Medical Sciences Second Military Medical University Shanghai China.ORCID https://orcid.org/0000-0002-7905-4284

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The world is experiencing one of the most difficult moments in history with COVID-19, which has rapidly developed into a worldwide pandemic with a significant health and economic burden. Efforts to fight the virus, including prevention and treatment, have never stopped. However, no specific drugs or treatments have yet been found. Antibody drugs have never been absent in epidemics such as SARS, MERS, HIV, Ebola, and so on in the past two decades. At present, while research on the SARS-CoV-2 vaccine is in full swing, antibody drugs are also receiving widespread attention. Several antibody drugs have successfully entered clinical trials and achieved impressive therapeutic effects. Here, we summarize the therapeutic antibodies against SARS-CoV-2, as well as the research using ACE2 recombinant protein or ACE2-Ig fusion protein.

Indexed as

Ig‐like proteinsneutralizationSARS‐CoVSARS‐CoV‐2

Identifiers

PMID34766160
PMCPMC8441747

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.