Evidence map›Paper›PMID 37840452›Full record

ReviewHealth technology assessment (Winchester, England)2023

Cost-effectiveness of therapeutics for COVID-19 patients: a rapid review and economic analysis.

Andrew Metry, Abdullah Pandor, Shijie Ren, Andrea Shippam, Mark Clowes, Paul Dark, Ronan McMullan, Matt Stevenson

Open access · diamondAbstract readReview
In one paragraph

Review in Health technology assessment (Winchester, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. 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 at 3 institutions in 1 country.

Andrew MetrySchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0001-7412-6093
Abdullah PandorSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0003-2552-5260
Shijie RenSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0003-3568-7124
Andrea ShippamSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0003-3866-0939
Mark ClowesSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0002-5582-9946
Paul DarkThe University of Manchester, Manchester, UK.ORCID 0000-0003-3309-0164
Ronan McMullanSchool of Medicine, Dentistry and Biomedical Sciences, Wellcome Wolfson Institute for Experimental Medicine, Queen's University Belfast, Belfast, UK.ORCID 0000-0001-6760-6072
Matt StevensonSchool of Health and Related Research (ScHARR), The University of Sheffield, Sheffield, UK.ORCID 0000-0002-3099-9877
University of Sheffield · GBQueen's University Belfast · GBUniversity of Manchester · GB

Funding

Department of Health NIHR135564
6 · The paper itself

Abstract

Background: Severe acute respiratory syndrome coronavirus 2 is the virus that causes coronavirus disease 2019. Over six million deaths worldwide have been associated with coronavirus disease 2019. Objective: To assess the cost-effectiveness of treatments used for the treatment of coronavirus disease 2019 in hospital or used in the community in patients with coronavirus disease 2019 at high risk of hospitalisation. Setting: Treatments provided in United Kingdom hospital and community settings. Methods: Clinical effectiveness estimates were taken from the coronavirus disease-network meta-analyses initiative and the metaEvidence initiative. A mathematical model was constructed to explore how the interventions impacted on patient health, measured in quality-adjusted life-years gained. The costs associated with treatment, including those of hospital care, were also estimated and used to form a cost per quality-adjusted life-year gained value which was compared with thresholds published by the National Institute for Health and Care Excellence. Estimates of cost-effectiveness compared against current standard of care were produced in both the hospital and community settings at three different levels of efficacy: mean, low and high. Public list prices were used for interventions with neither confidential patient access schemes nor confidential list prices considered. Results incorporating confidential pricing data were provided to the National Institute for Health and Care Excellence appraisal committee. Results: The treatments were estimated to be clinically effective although not all reached statistical significance. All treatments in the hospital setting, or community, were estimated to plausibly have a cost per quality-adjusted life-year gained value below National Institute for Health and Care Excellence's thresholds when compared with standard of care. However, almost all drugs could plausibly have cost per quality-adjusted life-years above National Institute for Health and Care Excellence's thresholds. However, there is considerable uncertainty in the results as the prevalent severe acute respiratory syndrome coronavirus 2 variant, vaccination status, history of being infected with severe acute respiratory syndrome coronavirus 2 and standard of care have all evolved since the pivotal studies were conducted which could have significant impact on the efficacy of each drug. For drugs used in high-risk patients in the community setting, the proportion of people at high risk who need hospital admission was a large driver of the cost per quality-adjusted life-year. Limitations: No studies were identified that were conducted in current conditions. This may be a large limitation as the severe acute respiratory syndrome coronavirus 2 variant changes. No head-to-head studies of interventions were identified. Conclusions: The results produced could be informative to decision-makers, although conclusions regarding the most clinical - and cost-effectiveness of each intervention should be tentative due to the evolving nature of the decision problem and, in this report, the use of list prices only. Comparisons between interventions should also be treated with caution due to potentially large heterogeneity between studies. Future work: Research assessing the relative clinical effectiveness of interventions within head-to-head studies in current conditions would be beneficial. Contemporary information related to the probability of hospital admission and death for patients at high risk in the community would improve the precision of the estimates generated. Funding: This project was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR135564) and will be published in full in

Indexed as

COVID-19SARS-CoV-2Cost-Benefit AnalysisHumansQuality-Adjusted Life YearsUnited KingdomCOST-BENEFIT ANALYSISCOST-EFFECTIVENESSCOST-UTILITY ANALYSISCOVID-19ECONOMIC EVALUATION

Identifiers

PMID37840452
PMCPMC10591210
OpenAlexW4387662041

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.