Evidence map›Paper›PMID 30608516›Full record

ArticleAmerican journal of epidemiology2019

Rethinking Antimicrobial Resistance Surveillance: A Role for Lot Quality Assurance Sampling.

Franciscus Ginting, Adhi Kristianto Sugianli, Gidion Bijl, Restuti Hidayani Saragih, R Lia Kusumawati, Ida Parwati, Menno D de Jong, Constance Schultsz, Frank van Leth

Abstract readEvaluation Study
In one paragraph

Article in American journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Trial
  2. Review
  3. Antimicrobial resistance prevalence inApplied and environmental microbiology · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. Sampling for malaria molecular surveillance.Trends in parasitology · 2023
    Review
  8. Article
  9. Article
  10. Surveillance strategies using routine microbiology for antimicrobial resistance in low- and middle-income countries.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2021
    Review
  11. Review
  12. Filling the gaps in the global prevalence map of clinical antimicrobial resistance.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. 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

9 authors.

Franciscus GintingDepartment of Internal Medicine, Faculty of Medicine, University of Sumatera Utara, H. Adam Malik Hospital, Medan, Indonesia.
Adhi Kristianto SugianliDepartment of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Gidion BijlAmsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Restuti Hidayani SaragihDepartment of Internal Medicine, Faculty of Medicine, University of Sumatera Utara, H. Adam Malik Hospital, Medan, Indonesia.
R Lia KusumawatiDepartment of Microbiology, Faculty of Medicine, University of Sumatera Utara, H. Adam Malik Hospital, Medan, Indonesia.
Ida ParwatiDepartment of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, Indonesia.
Menno D de JongDepartment of Medical Microbiology, Amsterdam University Medical Centers, Academic Medical Center, Amsterdam, the Netherlands.
Constance SchultszAmsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.
Frank van LethAmsterdam Institute for Global Health and Development, Amsterdam, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Global surveillance of antimicrobial resistance (AMR) is a key component of the 68th World Health Assembly Global Action Plan on AMR. Laboratory-based surveillance is inherently biased and lacks local relevance due to aggregation of data. We assessed the feasibility, sensitivity, and affordability of a population-based AMR survey using lot quality assurance sampling (LQAS), which classifies a population as having a high or low prevalence of AMR based on a priori defined criteria. Three studies were carried out in Medan and Bandung, Indonesia, between April 2014 and June 2017. LQAS classifications for 15 antibiotics were compared with AMR estimates from a conventional population-based survey, with an assessment of the cost of a single LQAS classification using microcosting methodology, among patients suspected of urinary tract infection at 11 sites in Indonesia. The sensitivity of LQAS was above 98%. The approach detected local variation in the prevalence of AMR across sites. Time to reach LQAS results ranged from 47 to 138 days. The average cost of an LQAS classification in a single facility was US$466. The findings indicate that LQAS-based AMR survey is a feasible, sensitive, and affordable strategy for population-based AMR surveys, providing essential data to inform local empirical treatment guidelines and antimicrobial stewardship efforts.

Indexed as

Drug Resistance, BacterialAnti-Bacterial AgentsFeasibility StudiesHumansIndonesiaLot Quality Assurance SamplingPopulation SurveillancePrevalenceAnti-Bacterial Agentsantimicrobial stewardshipdrug resistance, microbiallot quality assurance samplingsentinel surveillanceurinary tract infections

Identifiers

PMID30608516
PMCPMC6438814

What OpenQuestion holds

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LicenceCC BY-NC
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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.