Evidence map›Paper›PMID 30275860›Full record

ArticleJournal of breast cancer2018

Evaluating the Prediction of Breast Cancer Survival Using Lymph Node Ratio.

Man Hung, Julie Xu, Dominique Nielson, Jerry Bounsanga, Yushan Gu, Alec Roger Hansen, Maren Wright Voss

Open access · goldAbstract read
In one paragraph

Article in Journal of breast cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 28% 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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  9. Prognostic Value of Lymph Node Ratio in Breast Cancer Patients with Adequate Pathologic Evidence After Neoadjuvant Chemotherapy.Medical science monitor : international medical journal of experimental and clinical research · 2020
    Article
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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

7 authors at 1 institution in 1 country.

Man HungDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
Julie XuDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
Dominique NielsonDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
Jerry BounsangaDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
Yushan GuDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
Alec Roger HansenDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
Maren Wright VossDepartment of Orthopaedics, University of Utah School of Medicine, Salt Lake City, USA.
University of Utah · US

Funding

University of Utah Center for Clinical and Translational ScienceUL1TR001067 · NCATS · UNIVERSITY OF UTAH · PI DERE, WILLARD H., HESS, RACHEL · 2013 to 2017
$19.8M
NCATS NIH HHS UL1 TR001067
6 · The paper itself

Abstract

purposePrevious oncological studies showed that lymph node ratio (LNR) (ratio of number of lymph nodes that tested positive for metastasis to the total number of lymph nodes examined) is a negative indicator of cancer survival. The American Joint Committee on Cancer (AJCC) staging system incorporates tumor size, lymph node involvement, and metastasis in a comprehensive model of cancer progression, but LNR alone has been shown to outperform the AJCC system in prognostic and survival predictions for various types of cancer. The effectiveness of LNR has not been evaluated in breast cancer staging. Evaluating LNR for predicting cancer staging in breast cancer has the potential to improve treatment recommendations.

methodsThe Surveillance, Epidemiology, and End Results dataset was used to identify 10,655 breast cancer patients who underwent nodal evaluation from 2010 to 2013, and their LNRs were calculated. Descriptive statistics of lymph node evaluation in the patients are provided. Logistic regression with LNR as the continuous independent variable was conducted to determine whether LNR could predict cancer progression, coded as regional or distant. Analysis was conducted using SPSS version 24.

resultsPatient's mean age was 59.43±18.62. Logistic regression analysis revealed that for every 1.3% increase in LNR, the odds of falling into the distant stage of the TNM staging system increased by 13.7% (odds ratio, 14.73; 95% confidence interval, 12.00-18.08).

conclusionLNR, while correlated with breast cancer staging, serves as a better predictor of survival. Precision staging can influence treatment modality, and improved treatments can significantly improve quality of life. Additional research and diagnostic examinations using LNR as a potential tool for accurate staging in breast cancer patients are warranted.

Indexed as

American Joint Committee on CancerBreast neoplasmsLymph nodeNeoplasm stagingSurvival

Identifiers

PMID30275860
PMCPMC6158156
OpenAlexW2888952165

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.