Evidence map›Paper›PMID 36978313›Full record

ArticleAntibiotics (Basel, Switzerland)2023

One Health Surveillance of Antimicrobial Use and Resistance: Challenges and Successes of Implementing Surveillance Programs in Sri Lanka.

Sujeewa Ariyawansa, Kuruwitage N Gunawardana, Muditha M Hapudeniya, Nimal J Manelgamage, Chinthana R Karunarathne, Roshan P Madalagama, Kamalika H Ubeyratne, Darshana Wickramasinghe, Hein M Tun, Peng Wu and 2 more

Full text read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Response to antimicrobial resistance in South-East Asia Region.The Lancet regional health. Southeast Asia · 2023
    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.

Sujeewa AriyawansaNational Aquatic Resources Research and Development Agency, Crow Island, Colombo 01500, Sri Lanka.
Kuruwitage N GunawardanaMinistry of Health, Medical Research Institute, Colombo 00800, Sri Lanka.
Muditha M HapudeniyaMinistry of Health, 385, Suwasiripaya, Colombo 01000, Sri Lanka.ORCID 0000-0003-2933-3952
Nimal J ManelgamageDepartment of Animal Production and Health, No. 13, Getambe, Peradeniya, Kandy 20400, Sri Lanka.
Chinthana R KarunarathneDepartment of Animal Production and Health, Veterinary Investigation Centre, Court Road, Wariyapola 60400, Sri Lanka.
Roshan P MadalagamaVeterinary Research Institute, Peradeniya 00902, Sri Lanka.
Kamalika H UbeyratneVeterinary Research Institute, Peradeniya 00902, Sri Lanka.
Darshana WickramasingheMinistry of Health Sri Lanka, District General Hospital, Hambantota 81000, Sri Lanka.
Hein M TunThe Jockey Club School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR, China.
Peng WuThe School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong SAR, China.
Tommy T Y LamThe School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong SAR, China.
Olivia S K ChanThe School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 7 Sassoon Road, Pokfulam, Hong Kong SAR, China.ORCID 0000-0003-1684-8105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSri Lanka is a low-income country, as defined by the World Bank. The country suffered further economic downturn during the COVID-19 pandemic. This situation adversely affected the prioritization of policies and programs around healthcare and public health. In particular, inflation, fuel prices, and shortage of food supplies increased struggles to implement antimicrobial resistance (AMR) programs. However, in the long run, it is crucial to gather data and evidence to plan AMR policies and track interventions. (1) Aim: To establish and reiterate the importance of prioritizing AMR programs in the One Health framework, the Fleming Fellows collected and studied antimicrobial use/consumption (AMU/AMC) and resistance (AMR) in humans, food-producing animals, and the environment. (2) Methods: A systematic and cross-sectional study was conducted between 2019 and 2021. By way of coordinating an AMU/AMC and AMR prevalence study across six agencies from human health and food-producing animal sectors, the authors established a field epidemiology study, laboratory testing, and data processing at their institutions. AMU/AMC patterns were surveyed using questionnaires and interviews, while AMR samples were collected for antibiotic susceptibility tests and genomic tests. Samples were tested for phenotypic and genotypic resistance. (3) Results: In human samples, resistance was highest to beta-lactam antibiotics. In non-human samples, resistance was highest to erythromycin, a highest-priority, critically important antibiotic defined by the World Health Organization. From government records, tylosin was sold the most in the food-producing animal sector. (4) Conclusions: Sri Lanka AMU and AMR trends in human and non-human sectors can be ascertained by a One Health framework. Further coordinated, consistent, and sustainable planning is feasible, and can help implement an AMU/AMR surveillance system in Sri Lanka.

Indexed as

antimicrobial resistanceantimicrobial use/consumptionimplementationOne HealthSri Lankasurveillance

Identifiers

PMID36978313
PMCPMC10044479

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read2
measurements read116
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.