Evidence map›Paper›PMID 37248971›Full record

ReviewHuman vaccines & immunotherapeutics2023

Economic and cost-effectiveness aspects of vaccines in combating antibiotic resistance.

Tatenda Yemeke, Hui-Han Chen, Sachiko Ozawa

Abstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
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

3 authors.

Tatenda YemekeDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0002-1489-627X
Hui-Han ChenDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0002-7169-4404
Sachiko OzawaDivision of Practice Advancement and Clinical Education, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, USA.ORCID 0000-0001-7608-9038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a global public health threat causing substantial morbidity and mortality as well as significant economic costs. Vaccines can contribute to combating antimicrobial resistance by reducing the incidence of resistant disease cases and lowering overall antibiotic use. Greater utilization and investments in vaccines as a tool for combating AMR might be hampered by limited economic evidence demonstrating the AMR-related value of vaccines. We reviewed the existing literature to assess the state of evidence. We found two modeling studies that provided estimates of AMR-related costs averted by pneumococcal vaccination and a few cost-effectiveness studies that exclusively focused on serotype replacement effects on overall vaccine cost-effectiveness. We did not find any cost-effectiveness studies that directly examined the cost-effectiveness of vaccines in slowing the development of AMR. Further evidence on the cost-effectiveness and economic value of vaccines in controlling AMR can help inform resource allocation decisions and guide development priorities.

Indexed as

Anti-Bacterial AgentsPneumococcal InfectionsCost-Benefit AnalysisDrug Resistance, MicrobialHumansPneumococcal VaccinesVaccinationAnti-Bacterial AgentsPneumococcal VaccinesAMRantimicrobial resistancecost-effectivenesseconomicsVaccines

Identifiers

PMID37248971
PMCPMC10231042

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.