Evidence map›Paper›PMID 32226038›Full record

Trial reportPloS one2020

Laboratory-based versus population-based surveillance of antimicrobial resistance to inform empirical treatment for suspected urinary tract infection in Indonesia.

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

Abstract readClinical Trial
In one paragraph

Trial report in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. 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
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

7 authors.

Adhi Kristianto SugianliDepartment of Clinical Pathology, Faculty of Medicine, Universitas Padjadjaran, Dr. Hasan Sadikin General Hospital, Bandung, West Java, Indonesia.ORCID 0000-0002-2898-6719
Franciscus GintingDepartment of Internal Medicine, Faculty of Medicine, Universitas Sumatera Utara, H. Adam Malik Hospital, Medan, North Sumatera 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, West Java, Indonesia.
Menno D de JongDepartment of Medical Microbiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.
Frank van LethDepartment of Global Health, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0002-5490-8968
Constance SchultszDepartment of Medical Microbiology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-2280-7844

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Surveillance of antimicrobial resistance (AMR) enables monitoring of trends in AMR prevalence. WHO recommends laboratory-based surveillance to obtain actionable AMR data at local or national level. However, laboratory-based surveillance may lead to overestimation of the prevalence of AMR due to bias. The objective of this study is to assess the difference in resistance prevalence between laboratory-based and population-based surveillance (PBS) among uropathogens in Indonesia. We included all urine samples submitted to the laboratory growing Escherichia coli and Klebsiella pneumoniae in the laboratory-based surveillance. Population-based surveillance data were collected in a cross-sectional survey of AMR in E. coli and K. pneumoniae isolated from urine samples among consecutive patients with symptoms of UTI, attending outpatient clinics and hospital wards. Data were collected between 1 April 2014 until 31 May 2015. The difference in percentage resistance (95% confidence intervals) between laboratory- and population-based surveillance was calculated for relevant antibiotics. A difference larger than +/- 5 percent points was defined as a biased result, precluding laboratory-based surveillance for guiding empirical treatment. We observed high prevalence of AMR ranging between 63.1% (piperacillin-tazobactam) and 85% (ceftriaxone) in laboratory-based surveillance and 41.3% (piperacillin-tazobactam) and 74.2% (ceftriaxone) in population-based surveillance, except for amikacin and meropenem (5.7%/9.8%; 10.8%/5.9%; [laboratory-/population-based surveillance], respectively). Laboratory-based surveillance yielded significantly higher AMR prevalence estimates than population-based surveillance. This difference was much larger when comparing surveillance data from outpatients than from inpatients. All point estimates of the difference between the two surveillance systems were larger than 5 percent points, except for amikacin and meropenem. Laboratory-based AMR surveillance of uropathogens, is not adequate to guide empirical treatment for community-based settings in Indonesia.

Indexed as

Drug Resistance, BacterialEscherichia coliEscherichia coli InfectionsKlebsiella InfectionsKlebsiella pneumoniaeUrinary Tract InfectionsAnti-Bacterial AgentsCross-Sectional StudiesFemaleHumansIndonesiaMaleMicrobial Sensitivity TestsAnti-Bacterial Agents

Identifiers

PMID32226038
PMCPMC7105116

What OpenQuestion holds

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Registered trials

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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.