Evidence map›Paper›PMID 30585269›Full record

ArticleInternational journal of biological sciences2018

Comparison of Prognostic Indices in NSCLC Patients with Brain Metastases after Radiosurgery.

Hong Xiang Gao, Shi Gao Huang, Jian Fei Du, Xue Cheng Zhang, Nan Jiang, Wen Xing Kang, Jian Mao, Qi Zhao

Open access · goldAbstract read
In one paragraph

Article in International journal of biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Development and validation of nomograms to predict brain metastasis-free survival in lung and breast cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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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 2 institutions in 2 countries.

Hong Xiang GaoDepartment of Radiotherapy Oncology, Chang An Hospital, Xi'an, Shaan Xi, China.
Shi Gao HuangFaculty of Health Sciences, University of Macau, Taipa, Macao SAR, China.
Jian Fei DuDepartment of Radiotherapy Oncology, Chang An Hospital, Xi'an, Shaan Xi, China.
Xue Cheng ZhangDepartment of Radiotherapy Oncology, Chang An Hospital, Xi'an, Shaan Xi, China.
Nan JiangFaculty of Health Sciences, University of Macau, Taipa, Macao SAR, China.
Wen Xing KangRadiotherapy Department, 323 Hospital of People's Liberation Army, Xi'an, Shaan Xi, China.
Jian MaoDepartment of Radiotherapy Oncology, Chang An Hospital, Xi'an, Shaan Xi, China.
Qi ZhaoFaculty of Health Sciences, University of Macau, Taipa, Macao SAR, China.
First Hospital of Xi'an · CNUniversity of Macau · MO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prognostic indices are commonly used in the context of brain metastases radiotherapy to guide patient decision-making and clinical trial stratification. This study is to choose an appropriate prognostic index (PI) for non-small cell lung cancer (NSCLC) patients with brain metastases (BM) who underwent radiosurgery. A total of 103 patients with BM from NSCLC receiving radiosurgery were analyzed retrospectively. There are six prognostic factors were analyzed, including age, primary tumor control, extracranial metastasis, KPS score, number of lesions, max lesion volume; and four prognostic indices were compared, include Recursive Partitioning Analysis (RPA),Graded Prognostic Assessment (GPA), Score Index for Radiosurgery (SIR), Basic Score for Brain Metastases (BSBM). Survival curves were estimated with the Kaplan-Meier method and compared with a log-rank test stratified according to the PIs. Univariate and multivariate analysis was performed using the Cox regression analysis. The PI's predictive capacity was compared in terms of Akaike information criterion (AIC), Log-rank × 2, Concordance index (C-index) and calibration curve. The median survival time was 8 months, and the 6-months and 12-months survival rate were 61% and 26% respectively. All four prognostic indices were correlated with prognosis (P<0.005).The AIC for BSBM (686.317) was the minimum in the four PIs(range,686.317-739.113).The Log-rank × 2 value for BSBM (77.62) was the maximum in the four PIs (range,23.32-77.62).The C-index for BSBM (0.758)was superior than the other PIs predictive capacity (range,0.611-0.758). The calibration curve showed that the BSBM was able to predict 6-months and 12-months overall survival accurately. In conclusion, the BSBM may be the most accurate prognostic index for patients with BM from NSCLC who underwent radiosurgery.

Indexed as

AdultAgedAged, 80 and overBrain NeoplasmsCarcinoma, Non-Small-Cell LungFemaleHumansLung NeoplasmsMaleMiddle AgedPrognosisProportional Hazards ModelsRadiosurgeryRetrospective StudiesYoung Adultbrain metastasesdecision curve analysisNon-small cell lung cancerprognostic indexradiosurgery

Identifiers

PMID30585269
PMCPMC6299364
OpenAlexW2899170482

What OpenQuestion holds

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LicenceCC BY-NC
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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.