Evidence map›Paper›PMID 35819909›Full record

ArticleThe British journal of radiology2022

Nomograms predicting recurrence in patients with triple negative breast cancer based on ultrasound and clinicopathological features.

Lei Zhang, Xudong Zhang, Peng Han, Dantong Zhao, Nana Hu, Wei Fan, Panting Wang, Xiaoxuan Zuo, Hanqing Kong, Fuhui Peng and 2 more

Abstract read
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Article in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

12 authors.

Lei ZhangDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Xudong ZhangDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Peng HanDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Dantong ZhaoDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Nana HuDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Wei FanDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Panting WangDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Xiaoxuan ZuoDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Hanqing KongDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Fuhui PengDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Jiawei TianDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.
Hao CuiDepartment of Ultrasound Medicine, the Second Affiliated Hospital of Harbin Medical University, Heilongjiang, China.ORCID 0000-0002-1286-1196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe clinicopathological and ultrasound features associated with recurrence in patients with triple negative breast cancer (TNBC) were used to develop a nomogram to predict the prognosis of TNBC.

methodsClinicopathological data of 300 patients with TNBC treated between July 2012 and September 2014 were retrospectively reviewed. The endpoint was progression-free survival (PFS). Prognostic factors were screened by multivariate COX regression to develop nomograms. The C-index and calibration curves were used to evaluate the predictive accuracy and discriminatory ability of nomograms.

resultsOf 300 patients with TNBC followed-up for 5 years, 80 (26.7%) had PFS events. Five informative prognostic factors (large size, vertical orientation, posterior acoustic enhancement, lymph node involvement, and high pathological stage) were screened and used to construct a nomogram for PFS. The C-index of the PFS nomogram was 0.88 (

conclusionsWe developed and validated a nomogram for predicting PFS in TNBC. Vertical orientation and posterior acoustic enhancement in ultrasound images of TNBC were associated with worse outcomes. ADVANCES IN KNOWLEDGE: Patients with TNBC have a very poor prognosis and patients have a high risk of recurrence, and our study developed a nomogram based on ultrasound and clinicopathological features for TNBC patients to improve the accuracy of individualized prediction of recurrence and provide help for clinical treatment.

Indexed as

NomogramsTriple Negative Breast NeoplasmsHumansLymph NodesPrognosisRetrospective Studies

Identifiers

PMID35819909
PMCPMC9815727

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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.