Evidence map›Paper›PMID 34842487›Full record

ArticleExperimental biology and medicine (Maywood, N.J.)2022

Overall and cancer-specific survival in patients with breast Paget disease: A population-based study.

Tingting Hu, Zhiyuan Chen, Meng Hou, Kezhi Lin

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Article in Experimental biology and medicine (Maywood, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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4 · The record

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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

4 authors.

Tingting HuDepartment of Chemoradiation Oncology, 89657The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.ORCID 0000-0003-4563-6486
Zhiyuan ChenDepartment of Microbiology and Immunology, School of Basic Medical Sciences, 26453Wenzhou Medical University, Wenzhou 325000, China.
Meng HouDepartment of Chemoradiation Oncology, 89657The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China.
Kezhi LinExperimental Center of Basic Medicine, 26453Wenzhou Medical University, Wenzhou 325000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Paget disease of the breast is an uncommon malignant tumor with an inferior outcome. Therefore, establishing nomograms to predict the survival outcomes of breast Paget disease patients is urgent. Clinicopathological and follow-up data of breast Paget disease patients diagnosed between 2010 and 2016 were retrieved through the Surveillance, Epidemiology, and End Result (SEER) database. The significant factors were screened out, and then those factors were utilized to build two valuable nomograms. The discriminative ability of nomograms was investigated using concordance-index (C-index), while the predictive accuracy and benefits were evaluated using calibration curves and decision curve analysis. Finally, a total of 417 breast Paget disease patients were enrolled. Tumor grade, histological type, American Joint Committee on Cancer (AJCC) stage, surgery, chemotherapy, and marital status were confirmed as independent overall survival (OS)-related factors; tumor grade, histological type, AJCC stage, and age were associated with independent cancer-specific survival (CSS)-related factors. The values of the C-index for OS nomogram acquired were 0.827 and 0.745 for training and validation cohorts, respectively. Meanwhile, the corresponding values of the C-index to CSS nomogram were 0.890 and 0.655, respectively. The calibration curves and decision curve analysis indicated that both nomograms had an excellent performance. Finally, the nomogram-based risk stratification system indicated that all breast Paget disease patients could be classified into low- and high-risk groups and showed distinct outcomes. In conclusion, two valuable nomograms incorporating various clinicopathological indicators were established for breast Paget disease patients. These prognostic nomograms provide accurate prognostic assessment for breast Paget disease patients and help clinicians select appropriate treatment strategies.

Indexed as

NomogramsAdultAgedBreast NeoplasmsFemaleHumansMiddle AgedPaget's Disease, MammaryPrognosisSEER Programbreast cancercancer-specific survivalnomogramoverall survivalPaget disease

Identifiers

PMID34842487
PMCPMC8851527

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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.