Evidence map›Paper›PMID 29725432›Full record

ArticleOncology letters2018

A nomogram for predicting survival in patients with breast cancer brain metastasis.

Zhou Huang, Bing Sun, Shikai Wu, Xiangying Meng, Yang Cong, Ge Shen, Santai Song

Abstract read
In one paragraph

Article in Oncology letters, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
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

20 citing papers in PubMed.

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  11. Assessment of Karnofsky (KPS) and WHO (WHO-PS) performance scores in brain tumour patients: the role of clinician bias.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2021
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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.

Zhou HuangDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.
Bing SunDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.
Shikai WuDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.
Xiangying MengDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.
Yang CongDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.
Ge ShenDepartment of Radiation Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.
Santai SongDepartment of Breast Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Brain metastasis (BM) is common in patients with breast cancer. Predicting patient survival is critical for the clinical management of breast cancer brain metastasis (BCBM). The present study was designed to develop and evaluate a prognostic model for patients with newly diagnosed BCBM. Based on the clinical data of patients with BCBM treated in the Affiliated Hospital of Academy of Military Medical Sciences (Beijing, China) between 2002 and 2014, a nomogram was developed to predict survival using proportional hazards regression analysis. The model was validated internally by bootstrapping, and the concordance index (c-index) was calculated. A calibration curve and c-index were used to evaluate discriminatory and predictive ability, in order to compare the nomogram with widely used models, including recursive partitioning analysis (RPA), graded prognostic assessment (GPA) and breast-graded prognostic assessment (Breast-GPA). A total of 411 patients with BCBM were included in the development of this predictive model. The median overall survival time was 14.1 months. Statistically significant predictors for patient survival included biological subtype, Karnofsky performance score, leptomeningeal metastasis, extracranial metastasis, the number of brain metastases and disease-free survival. A nomogram for predicting 1- and 2-year overall survival rates was constructed, which exhibited good accuracy in predicting overall survival with a concordance index of 0.735. This model outperformed RPA, GPA and Breast-GPA, based on the comparisons of the c-indexes. The nomogram constructed based on a multiple factor analysis was able to more accurately predict the individual survival probability of patients with BCBM, compared with existing models.

Indexed as

brain metastasisbreast cancernomogrampredictive model

Identifiers

PMID29725432
PMCPMC5920309

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.