Evidence map›Paper›PMID 37252402›Full record

ArticleFrontiers in veterinary science2023

Comparison of surgical resection of Axillary Lymph Nodes in Dogs with Mammary Gland Tumors with or without sentinel lymph node visualization with patent blue dye.

Mayara Coutinho Carlo de Souza, Mayra Cunha Flecher, Fernanda Ming Arrais, Bruna Voltolin de Sena, Antonio Giuliano, Rodrigo Dos Santos Horta

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

5 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
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 4 institutions in 2 countries.

Mayara Coutinho Carlo de SouzaDepartment of Veterinary Clinic and Surgery, Universidade Estadual Paulista, São Paulo, Brazil.
Mayra Cunha FlecherDepartament of Veterinary Medicine, Universidade Vila Velha, Vila Velha, Espírito Santo, Brazil.
Fernanda Ming ArraisDepartament of Veterinary Medicine, Universidade Vila Velha, Vila Velha, Espírito Santo, Brazil.
Bruna Voltolin de SenaDepartament of Veterinary Medicine and Surgery, Veterinary School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Antonio GiulianoDepartament of Veterinary Clinical Science, Jockey Club College of Veterinary Medicine, City University of Hong Kong, Hong Kong, Hong Kong SAR, China.
Rodrigo Dos Santos HortaDepartament of Veterinary Medicine and Surgery, Veterinary School, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Universidade Federal de Minas Gerais · BRUniversidade Vila Velha · BRCity University of Hong Kong · HKUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Dogs' axillary lymph node (ALN) is often difficult to locate before surgical resection. The anatomical location of ALN often discourages Veterinarians from surgical lymphadenectomy. Considering the limited literature available, the actual incidence of metastases and the prognostic relevance are poorly understood. Methods: A non-randomized, prospective clinical study was conducted with female dogs ( Results and discussion: Surgical time differed between the two groups, as it was significantly shorter in the PB injection group compared to group 1 (80 vs. 45 min) (

Indexed as

female dogslymphadenectomymammary gland neoplasmpatent blueprognosis

Identifiers

PMID37252402
PMCPMC10213635
OpenAlexW4378744945

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.