Evidence map›Paper›PMID 32083046›Full record

ArticleFrontiers in public health2019

Identification and Distribution of Pathogens in a Major Tertiary Hospital of Indonesia.

Nyoman Sri Budayanti, Dewi N Aisyah, Nengah N D Fatmawati, Ni M A Tarini, Zisis Kozlakidis, Wiku Adisasmito

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.1field-weighted citation impact, top 20% of its field
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

6 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Evaluation of Empirical Meropenem Bolus Protocol inInternational journal of general medicine · 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

6 authors at 5 institutions in 3 countries.

Nyoman Sri BudayantiMicrobiology Clinic Department, Faculty of Medicine, Udayana University, Denpasar, Indonesia.
Dewi N AisyahInstitute of Health Informatics, University College London, London, United Kingdom.
Nengah N D FatmawatiMicrobiology Clinic Department, Faculty of Medicine, Udayana University, Denpasar, Indonesia.
Ni M A TariniMicrobiology Clinic Department, Faculty of Medicine, Udayana University, Denpasar, Indonesia.
Zisis KozlakidisInstitute of Health Informatics, University College London, London, United Kingdom.
Wiku AdisasmitoFaculty of Public Health, Universitas Indonesia, Jakarta, Indonesia.
Rumah Sakit Umum Pusat Sanglah Denpasar · IDCentre International de Recherche sur le Cancer · FRUdayana University · IDUniversity College London · GBUniversity of Indonesia · ID

Funding

Wellcome TrustWorld Health Organization 001
6 · The paper itself

Abstract

The nosocomial persistence of multiple drug resistance organisms constitutes a global threat. Healthcare-setting acquired infections are subject to substantial selection pressure and are frequently associated with drug resistance. As part of the microbiological surveillance of the Sanglah tertiary referral hospital in the island province of Bali, the distribution of bacterial pathogen and their relative susceptibilities were recorded over a 30 months period. This is the first such detailed study benchmarking the type and sensitivity of bacterial pathogens in a major tertiary referral hospital within Indonesia and it is hoped that it will lead to similar reports in the near future, while informing local and national antimicrobial stewardship policies.

Indexed as

drug resistanceIndonesiamulti-drug-resistance organismspathogen distributiontertiary hospital

Identifiers

PMID32083046
PMCPMC7006218
OpenAlexW3004102934

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.