Evidence map›Paper›PMID 30033828›Full record

ArticleTechnology in cancer research & treatment2018

Validation of Breast Cancer Models for Predicting the Nonsentinel Lymph Node Metastasis After a Positive Sentinel Lymph Node Biopsy in a Chinese Population.

Peiqi Wu, Ke Zhao, Yanli Liang, Weitao Ye, Zaiyi Liu, Changhong Liang

Open access · goldAbstract read
In one paragraph

Article in Technology in cancer research & treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 46% 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

8 citing papers in PubMed, 12 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

6 authors at 1 institution in 1 country.

Peiqi Wu1 Department of Radiology, Guangdong General Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.
Ke Zhao1 Department of Radiology, Guangdong General Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.
Yanli Liang1 Department of Radiology, Guangdong General Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.
Weitao Ye1 Department of Radiology, Guangdong General Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.
Zaiyi Liu1 Department of Radiology, Guangdong General Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.
Changhong Liang1 Department of Radiology, Guangdong General Hospital (Guangdong Academy of Medical Sciences), Guangzhou, China.ORCID 0000-0001-8267-150X
Guangdong General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOver the years, completion axillary lymph node dissection is recommended for the patients with breast cancer if sentinel lymph node metastasis is found. However, not all of these patients had nonsentinel lymph node metastasis on final histology. Some predicting models have been developed for calculating the risk of nonsentinel lymph node metastasis. The aim of our study was to validate some of the predicting models in a Chinese population.

methodTwo hundred thirty-six patients with positive sentinel lymph node and complete axillary lymph node dissection were included. Patients were applied to 6 models for evaluation of the risk of nonsentinel lymph node involvement. The receiver-operating characteristic curves were shown in our study. The calculation of area under the curves and false negative rate was done for each model to assess the discriminative power of the models.

resultsThere are 105 (44.5%) patients who had metastatic nonsentinel lymph node(s) in our population. Primary tumor size, the number of metastatic sentinel lymph node, and the proportion of metastatic sentinel lymph nodes/total sentinel lymph nodes were identified as the independent predictors of nonsentinel lymph node metastasis. The Seoul National University Hospital and Louisville scoring system outperformed the others, with area under the curves of 0.706 and 0.702, respectively. The area under the curve values were 0.677, 0.673, 0.432, and 0.674 for the Memorial Sloan-Kettering Cancer Center, Tenon, Stanford, and Shanghai Cancer Hospital models, respectively. With adjusted cutoff points, the Louisville scoring system outperformed the others by classifying 26.51% of patients with breast cancer to the low-risk group.

conclusionThe Louisville and Seoul National University Hospital scoring system were found to be more predictive among the 6 models when applied to the Chinese patients with breast cancer in our database. Models developed at other institutions should be used cautiously for decision-making regarding complete axillary lymph node dissection after a positive biopsy in sentinel lymph node.

Indexed as

AdultAgedBreast NeoplasmsChinaFemaleHumansLymphatic MetastasisLymph Node ExcisionLymph NodesMiddle AgedRisk FactorsSentinel Lymph NodeSentinel Lymph Node Biopsybreast cancernomogramnon-sentinel lymph node metastasispredictionscoring systemsentinel lymph node

Identifiers

PMID30033828
PMCPMC6055247
OpenAlexW2884817244

What OpenQuestion holds

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LicenceCC BY-NC
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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.