Evidence map›Paper›PMID 38118005›Full record

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

Effective Stakeholder Engagement for Collation, Analysis and Expansion of Antimicrobial Resistance (AMR) Data: A CAPTURA Experience.

Nimesh Poudyal, Marianne Holm, Hea Sun Joh, Sanjay Gautam, Mohammad Julhas Sujan, Soo Young Kwon, Affan Sahikh, Alina Shaw, Partick Gallagher, Kristi Prifti and 6 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. CAPTURA Regional Workshop Proceedings (28-30 June 2022, Virtual).Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    Article
  7. Key Recommendations for Antimicrobial Resistance Surveillance: Takeaways From the CAPTURA Project.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2023
    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

16 authors.

Nimesh PoudyalInternational Vaccine Institute, Seoul, Republic of Korea.
Marianne HolmResearch & Collaboration, Anka Analytica, Melbourne, Australia.
Hea Sun JohInternational Vaccine Institute, Seoul, Republic of Korea.
Sanjay GautamInternational Vaccine Institute, Seoul, Republic of Korea.
Mohammad Julhas SujanInternational Vaccine Institute, Seoul, Republic of Korea.
Soo Young KwonInternational Vaccine Institute, Seoul, Republic of Korea.
Affan SahikhPublic Health Surveillance Group LLC, Princeton, USA.
Alina ShawPublic Health Surveillance Group LLC, Princeton, USA.
Partick GallagherPublic Health Surveillance Group LLC, Princeton, USA.
Kristi PriftiInternational Vaccine Institute, Seoul, Republic of Korea.
Alyssa ChoInternational Vaccine Institute, Seoul, Republic of Korea.
Kyu-Young Kevin ChiInternational Vaccine Institute, Seoul, Republic of Korea.
Ahmed Taha AboushadyInternational Vaccine Institute, Seoul, Republic of Korea.
William R MacWrightPublic Health Surveillance Group LLC, Princeton, USA.
John StellingBrigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Florian MarksInternational Vaccine Institute, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn effective implementation of antimicrobial resistance (AMR) surveillance projects requires sustainable and multidisciplinary engagement with stakeholders from various backgrounds, interests and aims. The "Capturing Data on Antimicrobial resistance Patterns and Trends in Use in Regions of Asia" (CAPTURA) project, funded by the Fleming Fund, initially targeted 12 countries in South Asia (SA) and Southeast Asia (SEA) to "expand the volume of historical and current data on AMR and antimicrobial usage" and support local agencies through capacity building activities.

methodsIn this article, we focus on early stakeholder engagement activities and present overall statistics on AMR data collated from 72 laboratories across seven countries. This included 2.3 million records of antimicrobial susceptibility testing (AST) data, which were curated, analyzed, and shared back to the facilities for informed decision making.

resultsApproximately 98% of the data collated by CAPTURA originated from laboratories based in SA countries. Furthermore, country-wide data were analyzed to identify commonly reported pathogens in each country, followed by descriptions of AST practices and multidrug-resistant (MDR) pathogens. Overall, we found meager adherence to standard guidelines to perform and record AST results, and a significant number of MDR pathogens were reported.

conclusionsWe conclude that close collaboration with the existing national mechanisms for identifying AMR data sources was crucial for the project's success. Although we show a vast retrospective dataset on AMR is available for data sharing in Asia, there remain critical gaps in data generation/management practice and analysis capacity for AMR data at most facilities.

Indexed as

Anti-Bacterial AgentsDrug Resistance, BacterialAsiaHumansRetrospective StudiesStakeholder ParticipationAnti-Bacterial AgentsAMRantimicrobial resistanceStakeholder engagementsurveillance

Identifiers

PMID38118005
PMCPMC10732561

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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.