Evidence map›Paper›PMID 36006253›Full record

ArticleTropical medicine and infectious disease2022

Multicenter Study of the Risk Factors and Outcomes of Bloodstream Infections Caused by Carbapenem-Non-Susceptible

Dewi Anggraini, Dewi Santosaningsih, Pepy Dwi Endraswari, Novira Jasmin, Fajri Marindra Siregar, Usman Hadi, Kuntaman Kuntaman

Open access · goldAbstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
0.9field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Risk factors for infection after carbapenem-resistant Acinetobacter baumannii colonization.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Observational
  7. Article
  8. Risk factors for carbapenem-resistantJAC-antimicrobial resistance · 2023
    Article
  9. 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 at 4 institutions in 1 country.

Dewi AnggrainiDoctoral Program of Medical Science, Faculty of Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.ORCID 0000-0001-7507-2445
Dewi SantosaningsihDepartment of Clinical Microbiology, Faculty of Medicine, Universitas Brawijaya, Malang 65145, Indonesia.
Pepy Dwi EndraswariDepartment of Medical Microbiology, Faculty of Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.
Novira JasminDepartment of Microbiology, Faculty of Medicine, Universitas Riau, Pekanbaru 28133, Indonesia.
Fajri Marindra SiregarArifin Achmad General Hospital, Pekanbaru 28111, Indonesia.ORCID 0000-0002-1239-7338
Usman HadiDepartment of Internal Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.
Kuntaman KuntamanDepartment of Medical Microbiology, Faculty of Medicine, Universitas Airlangga, Surabaya 60115, Indonesia.ORCID 0000-0003-4897-8879
Airlangga University · IDRiau University · IDUniversitas Achmad Yani · IDUniversity of Brawijaya · ID

Funding

Ministry of Education and Culture of the Republic of Indonesia 010/E5/PG.02.00.PT/2022 (sub-contract no.: 716/UN3.15/PT/2022)
6 · The paper itself

Abstract

The prevalence of bacteremia caused by carbapenem-non-susceptible

Indexed as

Acinetobacter baumanniibacteremiacarbapenem resistanceinfectious diseaserisk factor

Identifiers

PMID36006253
PMCPMC9412432
OpenAlexW4289529201

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.