Evidence map›Paper›PMID 39487661›Full record

SynthesisHealth technology assessment (Winchester, England)2024

Ceftazidime with avibactam for treating severe aerobic Gram-negative bacterial infections: technology evaluation to inform a novel subscription-style payment model.

Sue Harnan, Ben Kearns, Alison Scope, Laetitia Schmitt, Dina Jankovic, Jean Hamilton, Tushar Srivastava, Harry Hill, Chu Chang Ku, Shijie Ren and 4 more

Abstract readSystematic Review
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2024. 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. Article
  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

14 authors.

Sue HarnanHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-9318-9206
Ben KearnsHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0001-7730-668X
Alison ScopeHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0003-1604-1758
Laetitia SchmittCentre for Health Economics, University of York, York, UK.ORCID 0000-0003-1052-488X
Dina JankovicCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-9311-1409
Jean HamiltonHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0003-3326-9842
Tushar SrivastavaHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-5961-9348
Harry HillHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-0908-5595
Chu Chang KuHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0002-4719-117X
Shijie RenHealth Economics and Decision Science, School of Health and Related Research, University of Sheffield, Sheffield, UK.ORCID 0000-0003-3568-7124
Claire RotheryCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-7759-4084
Laura BojkeCentre for Health Economics, University of York, York, UK.ORCID 0000-0001-7921-9109
Mark SculpherCentre for Health Economics, University of York, York, UK.ORCID 0000-0003-3746-9913
Beth WoodsCentre for Health Economics, University of York, York, UK.ORCID 0000-0002-7669-9415

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To limit the use of antimicrobials without disincentivising the development of novel antimicrobials, there is interest in establishing innovative models that fund antimicrobials based on an evaluation of their value as opposed to the volumes used. The aim of this project was to evaluate the population-level health benefit of ceftazidime-avibactam in the NHS in England, for the treatment of severe aerobic Gram-negative bacterial infections when used within its licensed indications. The results were used to inform National Institute for Health and Care Excellence guidance in support of commercial discussions regarding contract value between the manufacturer and NHS England. Methods: The health benefit of ceftazidime-avibactam was first derived for a series of high-value clinical scenarios. These represented uses that were expected to have a significant impact on patients' mortality risks and health-related quality of life. Patient-level costs and health-related quality of life of ceftazidime-avibactam under various usage scenarios compared with alternative management strategies in the high-value clinical scenarios were quantified using decision modelling. Results were reported as incremental net health effects expressed in quality-adjusted life-years, which were scaled to 20-year population in quality-adjusted life-years using infection number forecasts based on data from Public Health England. The outcomes estimated for the high-value clinical scenarios were extrapolated to other expected uses for ceftazidime-avibactam. Results: The clinical effectiveness of ceftazidime-avibactam relative to its comparators was estimated by synthesising evidence on susceptibility of the pathogens of interest to the antimicrobials in a network meta-analysis. In the base case, ceftazidime-avibactam was associated with a statistically significantly higher susceptibility relative to colistin (odds ratio 7.24, 95% credible interval 2.58 to 20.94). The remainder of the treatments were associated with lower susceptibility than colistin (odds ratio < 1). The results were sensitive to the definition of resistance and the studies included in the analysis. In the base case, patient-level benefit of ceftazidime-avibactam was between 0.08 and 0.16 quality-adjusted life-years, depending on the site of infection and the usage scenario. There was a high degree of uncertainty surrounding the benefits of ceftazidime-avibactam across all subgroups, and the results were sensitive to assumptions in the meta-analysis used to estimate susceptibility. There was substantial uncertainty in the number of infections that are suitable for treatment with ceftazidime-avibactam, so population-level results are presented for a range of scenarios for the current infection numbers, the expected increases in infections over time, and rates of emergence of resistance. The population-level benefit varied substantially across the scenarios, from 531 to 2342 quality-adjusted life-years over 20 years. Conclusion: This work has provided quantitative estimates of the value of ceftazidime-avibactam within its areas of expected usage within the NHS. Limitations: Given existing evidence, the estimates of the value of ceftazidime-avibactam are highly uncertain. Future work: Future evaluations of antimicrobials would benefit from improvements to NHS data linkages, research to support appropriate synthesis of susceptibility studies, and application of routine data and decision modelling to assess enablement value. Study registration: No registration of this study was undertaken. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Policy Research Programme (NIHR award ref: NIHR135592), conducted through the Policy Research Unit in Economic Methods of Evaluation in Health and Social Care Interventions, PR-PRU-1217-20401, and is published in full in

Indexed as

Anti-Bacterial AgentsAzabicyclo CompoundsCeftazidimeCost-Benefit AnalysisDrug CombinationsGram-Negative Bacterial InfectionsQuality-Adjusted Life YearsTechnology Assessment, BiomedicalEnglandFemaleHumansMaleQuality of LifeState MedicineAnti-Bacterial Agentsavibactam, ceftazidime drug combinationAzabicyclo CompoundsCeftazidimeDrug CombinationsANTI-BACTERIAL AGENTSBACTERIALCEFTAZIDIME-AVIBACTAMCOLISTINCOST-EFFECTIVENESS ANALYSISDRUG RESISTANCEEXPERT TESTIMONYGRAM-NEGATIVE BACTERIAL INFECTIONSMICROBIAL SENSITIVITY TESTSNETWORK META-ANALYSISOXACILLINASEQUALITY-ADJUSTED LIFE-YEARSSYSTEMATIC REVIEW

Identifiers

PMID39487661
PMCPMC11586833

What OpenQuestion holds

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Registered trials

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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.