Evidence map›Paper›PMID 37867182›Full record

ArticleSignal transduction and targeted therapy2023

Real-world effectiveness of an intranasal spray A8G6 antibody cocktail in the post-exposure prophylaxis of COVID-19.

Xiaosong Li, Pai Peng, Haijun Deng, Qian Yang, Shi Chen, Benhua Li, Miao He, Aishun Jin, Zhu Yang, Ni Tang and 1 more

Open access · goldAbstract readControlled Clinical Trial
In one paragraph

Article in Signal transduction and targeted therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Xiaosong Li *Clinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Pai Peng *Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Department of Infectious Diseases, Chongqing Medical University, Chongqing, China.
Haijun Deng *Key Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Department of Infectious Diseases, Chongqing Medical University, Chongqing, China.ORCID http://orcid.org/0000-0002-4890-192X
Qian YangClinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Shi ChenClinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Benhua LiClinical Molecular Medicine Testing Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Miao HeLaboratory Animal Center of Chongqing Medical University, Chongqing, China.
Aishun JinDepartment of Immunology, College of Basic Medicine, Chongqing Medical University, Chongqing, 400010, China.
Zhu YangDepartment of Gynecology and Obstetrics, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ni TangKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Department of Infectious Diseases, Chongqing Medical University, Chongqing, China. nitang@cqmu.edu.cn.ORCID http://orcid.org/0000-0001-5830-8786
Ailong HuangKey Laboratory of Molecular Biology for Infectious Diseases (Ministry of Education), Department of Infectious Diseases, Chongqing Medical University, Chongqing, China. ahuang@cqmu.edu.cn.ORCID http://orcid.org/0000-0003-0148-7423
Dalian Medical University · CNThe Affiliated Yongchuan Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previously, we identified an antibody combination A8G6 that showed promising efficacy in COVID-19 animal models and favorable safety profile in preclinical models as well as in a first-in-human trial. To evaluate the real-word efficacy of A8G6 neutralizing antibody nasal spray in post-exposure prophylaxis of COVID-19, an open-label, non-randomized, two-arm, blank-controlled, investigator-initiated trial was conducted in Chongqing, China (the register number: ChiCTR2200066416). High-risk healthy participants (18-65 years) within 72 h after close contact to COVID-19 patients were recruited and received a three-dose (1.4 mg/dose) A8G6 treatment daily or no treatment (blank control) for 7 consecutive days. SARS-CoV-2 infection occurred in 151/340 (44.4%) subjects in the blank control group and 12/173 (6.9%) subjects in the A8G6 treatment group. The prevention efficacy of the A8G6 treatment within 72 h exposure was calculated to be 84.4% (95% CI: 74.4-90.4%). Moreover, compared to the blank-control group, the time from the SARS-CoV-2 negative to the positive COVID-19 conversion was significantly longer in the AG86 treatment group (mean time: 3.4 days vs 2.6 days, p = 0.019). In the secondary end-point analysis, the A8G6 nasal treatment had no effects on the viral load at baseline SARS-CoV-2 RT-PCR positivity and the time of the negative COVID-19 conversion. Finally, except for 5 participants (3.1%) with general adverse effects, we did not observe any severe adverse effects related to the A8G6 treatment. In this study, the intranasal spray AG86 antibody cocktail showed potent efficacy for prevention of SARS-CoV-2 infection in close contacts of COVID-19 patients.

Indexed as

COVID-19Antibodies, NeutralizingCombined Antibody TherapeuticsHumansPost-Exposure ProphylaxisSARS-CoV-2Antibodies, NeutralizingCombined Antibody Therapeutics

Identifiers

PMID37867182
PMCPMC10590774
OpenAlexW4387857185

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.