Evidence map›Paper›PMID 29334609›Full record

ArticleCancer research and treatment2018

Score for the Survival Probability in Metastasis Breast Cancer: A Nomogram-Based Risk Assessment Model.

Zhenchong Xiong, Guangzheng Deng, Xinjian Huang, Xing Li, Xinhua Xie, Jin Wang, Zeyu Shuang, Xi Wang

Open access · diamondAbstract read
In one paragraph

Article in Cancer research and treatment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

17 citing papers in PubMed, 24 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

8 authors at 3 institutions in 1 country.

Zhenchong XiongDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Guangzheng DengDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinjian HuangDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xing LiDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xinhua XieDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Jin WangDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Zeyu ShuangDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Xi WangDepartment of Breast Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China.
Southern Medical University · CNSun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSurvival of metastatic breast cancer (MBC) patient remains unknown and varies greatly from person to person. Thus, we aimed to construct a nomogram to quantify the survival probability of patients with MBC. MATERIALS AND

methodsWe had included 793 MBC patients and calculated trends of case fatality rate by Kaplan-Meier method and joinpoint regression. Six hundred thirty-four patients with MBC between January 2004 and July 2011 and 159 patients with MBC between August 2011 and July 2013 were assigned to training cohort and internal validation cohort, respectively. We constructed the nomogram based on the results of univariable and multivariable Cox regression analyses in the training cohort and validated the nomogram in the validation cohort. Concordance index and calibration curves were used to assess the effectiveness of nomogram.

resultsCase fatality rate of MBC was increasing (annual percentage change [APC], 21.6; 95% confidence interval [CI], 1.0 to 46.3; p < 0.05) in the first 18 months and then decreased (APC, ‒4.5; 95% CI, ‒8.2 to ‒0.7; p < 0.05). Metastasis-free interval, age, metastasis location, and hormone receptor status were independent prognostic factors and were included in the nomogram, which had a concordance index of 0.69 in the training cohort and 0.67 in the validation cohort. Calibration curves indicated good consistency between the two cohorts at 1 and 3 years.

conclusionIn conclusion, the fatality risk of MBC was increasing and reached the summit between 13th and 18th month afterthe detection of MBC. We have developed and validated a nomogram to predict the 1- and 3-year survival probability in MBC.

Indexed as

NomogramsAdultBreast NeoplasmsCohort StudiesFemaleHumansMiddle AgedNeoplasm MetastasisNeoplasm StagingPrognosisRegression AnalysisRetrospective StudiesRisk AssessmentRisk FactorsSurvival AnalysisBreast neoplasmsMetastasisMortality rateNomogramSurvival

Identifiers

PMID29334609
PMCPMC6192925
OpenAlexW2782504262

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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.