Evidence map›Paper›PMID 29953003›Full record

ArticleMedicine2018

Accuracy of a nomogram to predict the survival benefit of surgical axillary staging in T1 breast cancer patients.

Yuxia Chen, Yuanqi Zhang, Weixiong Yang, Xiaoping Li, Liling Zhu, Kai Chen, Xiang Chen

Abstract read
In one paragraph

Article in Medicine, 2018. 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
–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

The trial behind it

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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

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5 · Who and what money

Authors and funding

7 authors.

Yuxia ChenGalactphore Department, Maoming People's Hospital, Maoming Department of Breast Surgery, Affiliated Hospital of Guangdong Medical University, Zhanjiang General Surgery Department, Jiangmen Central Hospital, Jiangmen General Surgery Department, Baoshan Traditional Chinese Medicine-Integrated Hospital of Shanghai, Shanghai Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou Breast Tumor Center, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China.
Yuanqi Zhang
Weixiong Yang
Xiaoping Li
Liling Zhu
Kai Chen
Xiang Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

T1 breast cancer patients have favorable clinical outcomes, so that whether axillary stating (AS) surgery can be omitted in these patients is still unclear. This retrospective cohort study developed a nomogram to predict the cancer-specific survival (CSS) of T1 breast cancer patients with and without AS and estimate the survival benefit of AS in these patients.We used surveillance, epidemiology, and end results (SEER) database to identify 232,195 breast cancer patients with T1 tumors diagnosed between 1990 and 2008. In the training cohort, we used the Kaplan-Meier method and the competing risk analysis, with non-CSS as the competing risk, to screen for prognostic factors for CSS. A nomogram to predict the CSS, with receiving AS or not as one of the predictors, was developed and externally validated, using the C-index and calibration plots. The survival benefit of AS can be estimated by the difference of 2 predicted CSS, when the patient was considered as having and not having AS.With a median follow-up of 109 months, the CSS of the study population were 96.3%, 92.3%, and 88.5% at 5, 10, and 15 years, respectively. Significant predictors for CSS identified in the training cohort were used to develop a nomogram, which was validated internally [C-index = 0.707, 95% confidence interval (95% CI) 0.702-0.712] and externally (C-index = 0.704, 95% CI 0.698-0.710). The nomogram was well calibrated. With this nomogram, AS was predicted to have less than 2% benefit of 5-, 10-, and 15-year CSS in 60.6% (140,599/232,195), 15.5% (36,074/232,195), and 8.6% (20,043/232,195) of the entire study population, respectively.The new nomogram can accurately predict the CSS of T1 breast cancer patients, and also be able to estimate the survival benefit of AS in these patients. Prospective studies are needed to confirm our findings.

Indexed as

NomogramsAgedAxillaBreast NeoplasmsFemaleHumansKaplan-Meier EstimateMastectomyMiddle AgedNeoplasm StagingRetrospective StudiesRisk FactorsROC CurveSEER Program

Identifiers

PMID29953003
PMCPMC6039583

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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.