Evidence map›Paper›PMID 38118015›Full record

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

Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA).

Marianne Holm, William R MacWright, Nimesh Poudyal, Alina G Shaw, Hea Sun Joh, Patrick F Gallagher, Jong-Hoon Kim, Affan T Shaikh, Hye Jin Seo, Soo Young Kwon and 7 more

Erratum issuedAbstract 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. An erratum has been issued. 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.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Marianne HolmInternational Vaccine Institute, Seoul, Republic of Korea.
William R MacWrightPublic Health Surveillance Group LLC, Princeton, New Jersey, USA.
Nimesh PoudyalInternational Vaccine Institute, Seoul, Republic of Korea.
Alina G ShawPublic Health Surveillance Group LLC, Princeton, New Jersey, USA.
Hea Sun JohInternational Vaccine Institute, Seoul, Republic of Korea.
Patrick F GallagherPublic Health Surveillance Group LLC, Princeton, New Jersey, USA.
Jong-Hoon KimInternational Vaccine Institute, Seoul, Republic of Korea.
Affan T ShaikhPublic Health Surveillance Group LLC, Princeton, New Jersey, USA.
Hye Jin SeoInternational Vaccine Institute, Seoul, Republic of Korea.
Soo Young KwonInternational Vaccine Institute, Seoul, Republic of Korea.
Kristi PriftiInternational Vaccine Institute, Seoul, Republic of Korea.
Brooke DolabellaPublic Health Surveillance Group LLC, Princeton, New Jersey, USA.
Ben E W TaylorCentre for Genomic Pathogen Surveillance, Big Data Institute, Oxford University, Oxford, United Kingdom.
Corin YeatsCentre for Genomic Pathogen Surveillance, Big Data Institute, Oxford University, Oxford, United Kingdom.
David M AanensenCentre for Genomic Pathogen Surveillance, Big Data Institute, Oxford University, Oxford, United Kingdom.
John StellingBrigham & Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.
Florian MarksInternational Vaccine Institute, Seoul, Republic of Korea.

Funding

Fleming Fund regional FF10-135The Fleming FundUK Department of Health and Social Care
6 · The paper itself

Abstract

backgroundIn 2015, the UK government established the Fleming Fund with the aim to address critical gaps in surveillance of antimicrobial resistance (AMR) in low- and middle-income countries in Asia and Africa. Among a large portfolio of grants, the Capturing Data on Antimicrobial Resistance Patterns and Trends in Use in Regions of Asia (CAPTURA) project was awarded with the specific objective of expanding the volume of historical data on AMR, consumption (AMC), and use (AMU) in the human healthcare sector across 12 countries in South and Southeast Asia.

methodsStarting in early 2019, the CAPTURA consortium began working with local governments and >100 relevant data-holding facilities across the region to identify, assess for quality, prioritize, and subsequently retrieve data on AMR, AMC, and AMU. Relevant and shared data were collated and analyzed to provide local overviews for national stakeholders as well as regional context, wherever possible.

resultsFrom the vast information resource generated on current surveillance capacity and data availability, the project has highlighted gaps and areas for quality improvement and supported comprehensive capacity-building activities to optimize local data-collection and -management practices.

conclusionsThe project has paved the way for expansion of surveillance networks to include both the academic and private sector in several countries and has actively engaged in discussions to promote data sharing at the local, national, and regional levels. This paper describes the overarching approach to, and emerging lessons from, the CAPTURA project, and how it contributes to other ongoing efforts to strengthen national AMR surveillance in the region and globally.

Indexed as

Anti-Bacterial AgentsAwards and PrizesAfricaAsiaDrug Resistance, BacterialHumansAnti-Bacterial Agentsantimicrobial resistanceCAPTURAsurveillance

Identifiers

PMID38118015
PMCPMC10732560

What OpenQuestion 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 OpenQuestion graph.