Evidence map›Paper›PMID 38930619›Full record

ReviewMicroorganisms2024

Canine Bacterial Endocarditis: A Text Mining and Topics Modeling Analysis as an Approach for a Systematic Review.

Annalisa Previti, Vito Biondi, Annamaria Passantino, Mehmet Erman Or, Michela Pugliese

Abstract readReview
In one paragraph

Review in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

5 authors.

Annalisa PrevitiDepartment of Veterinary Sciences, University of Messina, 98168 Messina, Italy.
Vito BiondiDepartment of Veterinary Sciences, University of Messina, 98168 Messina, Italy.ORCID 0000-0002-8717-1966
Annamaria PassantinoDepartment of Veterinary Sciences, University of Messina, 98168 Messina, Italy.ORCID 0000-0003-1701-3636
Mehmet Erman OrFaculty of Veterinary Medicine, İstanbul University-Cerrahpasa, 34098 Istanbul, Turkey.ORCID 0000-0002-8764-1956
Michela PuglieseDepartment of Veterinary Sciences, University of Messina, 98168 Messina, Italy.ORCID 0000-0002-0440-5457

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacterial endocarditis (BE) is a severe infection of the endocardium and cardiac valves caused by bacterial agents in dogs. Diagnosis of endocarditis is challenging due to the variety of clinical presentations and lack of definitive diagnostic tests in its early stages. This study aims to provide a research literature analysis on BE in dogs based on text mining (TM) and topic analysis (TA) identifying dominant topics, summarizing their temporal trend, and highlighting any possible research gaps. A literature search was performed utilizing the Scopus

Indexed as

bacterial endocarditisbartonellamachine learningtext miningtopic analysis

Identifiers

PMID38930619
PMCPMC11205685

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.