Evidence map›Paper›PMID 35984050›Full record

ArticleClinical pharmacology and therapeutics2022

Assessing the Combined Public Health Impact of Pharmaceutical Interventions on Pandemic Transmission and Mortality: An Example in SARS CoV-2.

Mohamed A Kamal, Andreas Kuznik, Luyuan Qi, Witold Więcek, Mohamed Hussein, Hazem E Hassan, Kashyap Patel, Thomas Obadia, Masood Khaksar Toroghi, Daniela J Conrado and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical pharmacology and therapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
0.1field-weighted citation impact, top 57% 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

1 citing paper in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.

  1. Pooled it
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

16 authors at 4 institutions in 1 country.

Mohamed A Kamal *Regeneron Pharmaceuticals, Tarrytown, New York, USA.
Andreas Kuznik *Regeneron Pharmaceuticals, Tarrytown, New York, USA.
Luyuan Qi *Certara, Paris, France.
Witold WięcekCertara, London, UK.
Mohamed HusseinRegeneron Pharmaceuticals, Tarrytown, New York, USA.
Hazem E HassanRegeneron Pharmaceuticals, Tarrytown, New York, USA.
Kashyap PatelCertara, Princeton, New Jersey, USA.
Thomas ObadiaCertara, Paris, France.
Masood Khaksar ToroghiRegeneron Pharmaceuticals, Tarrytown, New York, USA.
Daniela J ConradoRegeneron Pharmaceuticals, Tarrytown, New York, USA.
Nidal Al-HunitiRegeneron Pharmaceuticals, Tarrytown, New York, USA.
Roman CascianoCertara, Princeton, New Jersey, USA.
Meagan P O'BrienRegeneron Pharmaceuticals, Tarrytown, New York, USA.
Ruanne V BarnabasDivision of Infectious Diseases, Massachusetts General Hospital, Boston, Massachusetts, USA.
Myron S CohenInstitute for Global Health and Infectious Diseases, University of North Carolina, Chapel Hill, North Carolina, USA.
Patrick F SmithCertara, Princeton, New Jersey, USA.
Regeneron (United States) · USCertara (United States) · USHarvard University · USUniversity of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To assess the combined role of anti-viral monoclonal antibodies (mAbs) and vaccines in reducing severe acute respiratory syndrome-coronavirus 2 (SARS-CoV-2) transmission and mortality in the United States, an agent-based model was developed that accounted for social contacts, movement/travel, disease progression, and viral shedding. The model was calibrated to coronavirus disease 2019 (COVID-19) mortality between October 2020 and April 2021 (aggressive pandemic phase), and projected an extended outlook to estimate mortality during a less aggressive phase (April-August 2021). Simulated scenarios evaluated mAbs for averting infections and deaths in addition to vaccines and aggregated non-pharmaceutical interventions. Scenarios included mAbs as a treatment of COVID-19 and for passive immunity for postexposure prophylaxis (PEP) during a period when variants were susceptible to the mAbs. Rapid diagnostic testing paired with mAbs was evaluated as an early treatment-as-prevention strategy. Sensitivity analyses included increasing mAb supply and vaccine rollout. Allocation of mAbs for use only as PEP averted up to 14% more infections than vaccine alone, and targeting individuals ≥ 65 years averted up to 37% more deaths. Rapid testing for earlier diagnosis and mAb use amplified these benefits. Doubling the mAb supply further reduced infections and mortality. mAbs provided benefits even as proportion of the immunized population increased. Model projections estimated that ~ 42% of expected deaths between April and August 2021 could be averted. Assuming sensitivity to mAbs, their use as early treatment and PEP in addition to vaccines would substantially reduce SARS-CoV-2 transmission and mortality even as vaccination increases and mortality decreases. These results provide a template for informing public health policy for future pandemic preparedness.

Indexed as

Antineoplastic Agents, ImmunologicalCOVID-19PharmacyAntibodies, MonoclonalHumansPandemicsPublic HealthSARS-CoV-2Antibodies, MonoclonalAntineoplastic Agents, Immunological

Identifiers

PMID35984050
PMCPMC9538838
OpenAlexW4292370476

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.