Evidence map›Paper›PMID 39199692›Full record

ArticleCancers2024

Pathological Features Associated with Lymph Node Disease in Patients with Appendiceal Neuroendocrine Tumors.

Salvador Rodriguez Franco, Sumaya Abdul Ghaffar, Ying Jin, Reed Weiss, Mona Hamermesh, Andrii Khomiak, Toshitaka Sugawara, Oskar Franklin, Alexis D Leal, Christopher H Lieu and 5 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

1 citing paper in PubMed.

  1. 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

15 authors.

Salvador Rodriguez FrancoDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0001-9786-3651
Sumaya Abdul GhaffarDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0001-9606-9309
Ying JinDepartment of Biostatistics and Informatics, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Reed WeissDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Mona HamermeshDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Andrii KhomiakDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Toshitaka SugawaraDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Oskar FranklinDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Alexis D LealDivision of Medical Oncology, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Christopher H LieuDivision of Medical Oncology, School of Medicine, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Richard D SchulickDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Marco Del ChiaroDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Steven AhrendtDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Martin D McCarterDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.
Ana L GleisnerDivision of Surgical Oncology, Department of Surgery, University of Colorado, Anschutz Medical Campus, Aurora, CO 80045, USA.ORCID 0000-0002-5040-4105

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to evaluate the role of pathological features beyond tumor size in the risk of lymph node metastasis in appendiceal neuroendocrine tumors. Analyzing data from the national cancer database, we found that among 5353 cases, 18.8% had lymph node metastasis. Focusing on tumors smaller than 2 cm, a subject of considerable debate in treatment strategies, we identified lymphovascular invasion as one of the strongest predictors of lymph node disease. Interestingly, extension into the subserosa and beyond, a current factor in the staging system, was not a strong predictor. These findings suggest that careful interpretation of pathological features is needed when selecting therapeutic approaches using current staging systems.

Indexed as

neuroendocrine tumorsnodal disease riskpractice patternspredicted risk

Identifiers

PMID39199692
PMCPMC11352421

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.