Evidence map›Paper›PMID 38118013›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2023

Vaccination to Reduce Antimicrobial Resistance Burden-Data Gaps and Future Research.

Birkneh Tilahun Tadesse, Karen H Keddy, Natasha Y Rickett, Aidai Zhusupbekova, Nimesh Poudyal, Trevor Lawley, Majdi Osman, Gordon Dougan, Jerome H Kim, Jung-Seok Lee and 2 more

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Global vaccine development.Nature medicine · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

12 authors.

Birkneh Tilahun TadesseInternational Vaccine Institute, Seoul, Republic of Korea.ORCID 0000-0003-4005-8605
Karen H KeddyIndependent Consultant, Johannesburg, South Africa.
Natasha Y RickettInternational Vaccine Institute, Seoul, Republic of Korea.
Aidai ZhusupbekovaInternational Vaccine Institute, Seoul, Republic of Korea.
Nimesh PoudyalInternational Vaccine Institute, Seoul, Republic of Korea.
Trevor LawleyWellcome Sanger Institute and Microbiotica, Cambridge, United Kingdom.
Majdi OsmanCambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Gordon DouganCambridge Institute of Therapeutic Immunology and Infectious Disease, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom.
Jerome H KimInternational Vaccine Institute, Seoul, Republic of Korea.
Jung-Seok LeeInternational Vaccine Institute, Seoul, Republic of Korea.
Hyon Jin JeonInternational Vaccine Institute, Seoul, Republic of Korea.
Florian MarksInternational Vaccine Institute, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) poses an immediate danger to global health. If unaddressed, the current upsurge in AMR threatens to reverse the achievements in reducing the infectious disease-associated mortality and morbidity associated with antimicrobial treatment. Consequently, there is an urgent need for strategies to prevent or slow the progress of AMR. Vaccines potentially contribute both directly and indirectly to combating AMR. Modeling studies have indicated significant gains from vaccination in reducing AMR burdens for specific pathogens, reducing mortality/morbidity, and economic loss. However, quantifying the real impact of vaccines in these reductions is challenging because many of the study designs used to evaluate the contribution of vaccination programs are affected by significant background confounding, and potential selection and information bias. Here, we discuss challenges in assessing vaccine impact to reduce AMR burdens and suggest potential approaches for vaccine impact evaluation nested in vaccine trials.

Indexed as

Anti-Bacterial AgentsVaccinesDrug Resistance, BacterialGlobal HealthHumansVaccinationAnti-Bacterial AgentsVaccinesantimicrobial resistance (AMR)data gapsindirect effectstudy designvaccination

Identifiers

PMID38118013
PMCPMC10732565

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.