Evidence map›Paper›PMID 34685374›Full record

ArticleLife (Basel, Switzerland)2021

Epidemiological Characterization of Clinical Fungal Isolates from Pauls Stradinš Clinical University Hospital, Latvia: A 4-Year Surveillance Report.

Nityanand Jain, Inese Jansone, Tatjana Obidenova, Raimonds Sīmanis, Jānis Meisters, Dagnija Straupmane, Aigars Reinis

Open access · goldAbstract read
In one paragraph

Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 50% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Observational
  2. Article
  3. 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 2 institutions in 1 country.

Nityanand JainDepartment of Biology and Microbiology, Faculty of Medicine, Riga Stradiņš University, Dzirciema Street 16, LV-1007 Riga, Latvia.ORCID 0000-0002-7918-7909
Inese JansoneJoint Laboratory, Pauls Stradiņš Clinical University Hospital, LV-1002 Riga, Latvia.
Tatjana ObidenovaJoint Laboratory, Pauls Stradiņš Clinical University Hospital, LV-1002 Riga, Latvia.
Raimonds SīmanisDepartment of Infectology, Faculty of Medicine, Riga Stradiņš University, Dzirciema Street 16, LV-1007 Riga, Latvia.
Jānis MeistersJoint Laboratory, Pauls Stradiņš Clinical University Hospital, LV-1002 Riga, Latvia.
Dagnija StraupmaneJoint Laboratory, Pauls Stradiņš Clinical University Hospital, LV-1002 Riga, Latvia.
Aigars ReinisDepartment of Biology and Microbiology, Faculty of Medicine, Riga Stradiņš University, Dzirciema Street 16, LV-1007 Riga, Latvia.ORCID 0000-0002-3671-1213
Pauls Stradiņš Clinical University Hospital · LVRiga Stradiņš University · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nosocomial fungal infections are an emerging global public health threat that requires urgent attention and proper management. With the limited availability of treatment options, it has become necessary to understand the emerging epidemiological trends, mechanisms, and risk factors. However, very limited surveillance reports are available in the Latvian and broader European context. We therefore conducted a retrospective analysis of laboratory data (2017-2020) from Pauls Stradinš Clinical University Hospital (PSCUH), Riga, Latvia, which is one of the largest public multispecialty hospitals in Latvia. A total of 2278 fungal isolates were analyzed during the study period, with

Indexed as

antifungal resistanceantifungalsCandidafungiopportunistic infections

Identifiers

PMID34685374
PMCPMC8537438
OpenAlexW3201211415

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.