Evidence map›Paper›PMID 38426589›Full record

ArticleJournal of veterinary internal medicine

Weishaar's classification system for nodal metastasis in sentinel lymph nodes: Clinical outcome in 94 dogs with mast cell tumor.

Damiano Stefanello, Elisa M Gariboldi, Patrizia Boracchi, Roberta Ferrari, Alessandra Ubiali, Donatella De Zani, Davide D Zani, Valeria Grieco, Chiara Giudice, Camilla Recordati and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

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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

13 authors at 1 institution in 2 countries.

Damiano StefanelloDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.ORCID https://orcid.org/0000-0003-2726-0366
Elisa M GariboldiDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.ORCID https://orcid.org/0000-0002-6705-6653
Patrizia BoracchiDipartimento di Scienze Biomediche e Cliniche, Università degli Studi di Milano, Milano, Italy.
Roberta FerrariDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Alessandra UbialiDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.ORCID https://orcid.org/0000-0002-5704-6590
Donatella De ZaniDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Davide D ZaniDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Valeria GriecoDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Chiara GiudiceDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Camilla RecordatiDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Mario CaniattiDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
Luigi AulettaDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.ORCID https://orcid.org/0000-0002-1624-4240
Lavinia E ChitiDipartimento di Medicina Veterinaria e Scienze Animali, Università degli Studi di Milano, Lodi, Italy.
University of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe therapeutic role and prognostic relevance of lymphadenectomy in mast cell tumor (MCT) has historically been evaluated on regional rather than sentinel lymph nodes. HYPOTHESIS/

objectivesTo update information about the association of histological nodal (HN) classes with clinical outcome in dogs with MCT after tumor excision and extirpation of normal-sized sentinel nodes (SLN) guided by radiopharmaceutical. ANIMALS: Ninety-four dogs with histologically-confirmed treatment-naïve MCT (71 cutaneous, 22 subcutaneous and 1 conjunctival MCT) were included if without: distant metastases, lymphadenomegaly, concurrent mixed cutaneous, and subcutaneous MCT.

methodsThis was a monoistitutional cohort study. Tumors characteristics were retrieved and SLNs were classified according to Weishaar's system. Incidence of MCT-related events (local, nodal, distant relapse), de novo MCT or other tumors and death (MCT-related and non-MCT-related), were recorded. Incidence curves were compared among the HN classes.

resultsTwenty-seven dogs had HN0, 19 HN1, 37 HN2, and 11 HN3 SLN. Thirteen (2 HN0, 4 HN2, and 7 HN3) received adjuvant chemotherapies. Kiupel high grade, increasing number of SLN and lymphocentrums were associated with higher HN classes. Five dogs died for MCT-related causes: 1 low-grade (HN0) and 1 subcutaneous (HN3) had a local relapse, 2 high-grade had distant relapse (HN3-HN0) and 1 dog developed disease progression from a de novo subcutaneous MCT. No nodal relapse was registered. Fourteen dogs developed de novo MCTs. CONCLUSION/DISCUSSION: Low grade/low-risk MCT with nonpalpable and normal sized SLN have a favorable outcome independently from the HN. Result should be considered strictly related to the successful SLN detection guided pre- and intraoperative by radiopharmaceutical markers.

Indexed as

Dog DiseasesLymphatic MetastasisSentinel Lymph NodeAnimalsCohort StudiesDogsFemaleLymph Node ExcisionMaleMast-Cell SarcomaMastocytomaTreatment Outcomecaninemappingmast cellprognosissurgery

Identifiers

PMID38426589
PMCPMC11099738
OpenAlexW4392355855

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.