Evidence map›Paper›PMID 35838880›Full record

ArticleClinical drug investigation2022

Modeling the Potential Impact of Remdesivir Treatment for Hospitalized Patients with COVID-19 in Saudi Arabia on Healthcare Resource Use and Direct Hospital Costs: A Hypothetical Study.

Matteo Ruggeri, Alessandro Signorini, Silvia Caravaggio, Basem Alraddadi, Alaa Alali, James Jarrett, Sam Kozma, Camille Harfouche, Tariq Al Musawi

Open access · hybridAbstract read
In one paragraph

Article in Clinical drug investigation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 4 pooled it
1.1field-weighted citation impact, top 22% 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, 4 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  4. Pooled it
  5. Review
  6. Article
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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

9 authors at 7 institutions in 4 countries.

Matteo RuggeriNational Center for HTA, Istituto Superiore di Sanità, Rome, Italy. matteo.ruggeri@iss.it.ORCID http://orcid.org/0000-0002-5703-7424
Alessandro SignoriniDepartment of Business Administration, John Cabot University, Rome, Italy.
Silvia CaravaggioSchool of Medicine, St. Camillus International University of Health Sciences, Via della Madonnella 14 Rocca di Papa, 00040, Rome, Italy.
Basem AlraddadiKing Faisal Specialist Hospital and Research Centre, Jeddah, Saudi Arabia.
Alaa AlaliInfectious Diseases Department and HIV/AIDS Centre of Excellence, King Saud Medical City, Riyadh, Saudi Arabia.
James JarrettGilead Sciences, London, UK.
Sam KozmaGilead Sciences, Dubai, United Arab Emirates.
Camille HarfoucheGilead Sciences, Dubai, United Arab Emirates.
Tariq Al MusawiRoyal College of Surgeons in Ireland-Medical University of Bahrain (RSCI-MUB), Busaiteen, Kingdom of Bahrain.
Alfaisal University · SAGilead Sciences (United Kingdom) · GBIstituto Superiore di Sanità · ITJohn Cabot University · ITKing Saud Medical City · SARoyal College of Surgeons in Ireland - Bahrain · BHSaint Camillus International University of Health and Medical Sciences · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesCoronavirus disease 2019 (COVID-19) has spread rapidly worldwide. Saudi Arabia was significantly impacted by COVID-19. In March 2021, 381,000 cases were reported with 6539 deaths. This study attempts to quantify the impact of remdesivir on healthcare costs in Saudi Arabia, in terms of intensive care unit admissions, mechanical ventilation, and death prevention.

methodsA forecasting model was designed to estimate the impact of remdesivir on the capacity of intensive care units and healthcare costs with patients requiring low flow oxygen therapy. The forecasting model was applied in the Saudi context with a 20-week projection between 1 February and 14 June, 2021. Model inputs were collected from published global and Saudi literature, available forecasting resources, and expert opinions. Three scenarios were assumed: the effective pandemic infection rate (Rt) remains at 1, the Rt increases up to 1.2, and the Rt declines from 1 to 0.8 over the study period.

resultsThe model estimated that the use of remdesivir in hospitalized patients, in the optimistic and pessimistic scenarios, could prevent between 1520 and 3549 patient transfers to intensive care units and mechanical ventilation, prevent between 815 and 1582 deaths, and make potential cost savings between $US154 million and $US377 million owing to the reduction in intensive care unit capacity, respectively.

conclusionsThe treatment with remdesivir may improve patient outcomes and reduce the burden on healthcare resources during this pandemic.

Indexed as

COVID-19 Drug TreatmentAdenosine MonophosphateAlanineHealth Care CostsHospitalsHumansSARS-CoV-2Saudi ArabiaAdenosine MonophosphateAlanineremdesivir

Identifiers

PMID35838880
PMCPMC9284952
OpenAlexW4285492855

What OpenQuestion holds

Textmetadata
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.