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Dove Medical Press

Analyses of prognostic factors in cases of non-small cell lung cancer with multiple brain metastases

Overview of attention for article published in OncoTargets and therapy, March 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (53rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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Title
Analyses of prognostic factors in cases of non-small cell lung cancer with multiple brain metastases
Published in
OncoTargets and therapy, March 2016
DOI 10.2147/ott.s94524
Pubmed ID
Authors

Xiaomei Gong, Daoan Zhou, Shixiong Liang, Caicun Zhou

Abstract

To observe the therapeutic efficacy and prognostic factors that influence survival rates in non-small cell lung cancer (NSCLC) patients with multiple brain metastases (BMs), (more than three and less than ten). Retrospective analyses were conducted on the clinical data of 209 NSCLC patients with multiple BMs and were admitted to our hospital between March 2007 and November 2012. All BM patients received whole-brain radiotherapy. Two hundred patients received combined chemotherapy during the treatment process; 99 received targeted drug therapy; and nine got only symptomatic and supportive treatment. Survival time was defined as the period from the start of BM therapy to the patient's death or end of the follow-up period. The Kaplan-Meier method was used to calculate the median survival time, and the 6-month, 1-, and 2-year cumulative survival rates, as well as to plot the survival curves. The patients' cultural background included their socioeconomic status, level of education, their understanding of the disease, and the degree of care and support they received from their family members. Log-rank test was employed to test the differences in the survival rates between the subgroups. Cox multivariate regression analyses were used to analyze the various factors influencing the prognoses of NSCLC with multiple BMs. The follow-up duration was between 1 and 87 months. The median survival time for all BM patients was 12.1 months (95% confidence interval 9.37-14.83). The 6-month, 1-, and 2-year cumulative survival rates were 80%, 50.2%, and 10.7%, respectively. Univariate analyses revealed that the independent factors influencing survival prognoses included Karnofsky Performance Status score, control of the primary lung tumor, interval between the confirmed diagnoses of lung cancer and BM, presence of extracranial metastasis, number of chemotherapy cycles undergone, Graded Prognostic Assessment class, administration of combined targeted drug therapy, the pathological type, and the cultural backgrounds of the patients. Multivariate analyses indicated that the number of chemotherapy cycles, administration of combined drug therapy, and patients' cultural background were key independent factors influencing survival prognoses. Active treatment of NSCLC with multiple BMs was beneficial, and the patients' cultural background had a strong influence on survival prognoses. Chemotherapy combined with targeted drug therapy could increase the patients' median and overall survival rates. The number of chemotherapy cycles undergone, administration of combined targeted drug therapy, and the cultural backgrounds of the patients had significant effects on the patients' survival prognoses.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 29%
Other 3 14%
Student > Master 2 10%
Student > Bachelor 1 5%
Librarian 1 5%
Other 1 5%
Unknown 7 33%
Readers by discipline Count As %
Medicine and Dentistry 5 24%
Agricultural and Biological Sciences 3 14%
Neuroscience 2 10%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Social Sciences 1 5%
Other 1 5%
Unknown 8 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 April 2016.
All research outputs
#14,536,007
of 25,373,627 outputs
Outputs from OncoTargets and therapy
#716
of 3,016 outputs
Outputs of similar age
#145,523
of 312,604 outputs
Outputs of similar age from OncoTargets and therapy
#24
of 108 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one has done well, scoring higher than 76% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 312,604 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 108 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.