ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015
Is second-line systemic chemotherapy beneficial in patients with non-small cell lung cancer (NSCLC)? A multicenter data evaluation by the Anatolian Society of Medical Oncology.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Review
- Second-line treatment of non-small-cell lung cancer with wild-type EGFR status. What is the best approach?Current oncology (Toronto, Ont.) · 2016Article
- Response to: Second-line treatment of non-small-cell lung cancer with wild-type EGFR status. What is the best approach?Current oncology (Toronto, Ont.) · 2016Article
- The EGFR tyrosine kinase inhibitors as second-line therapy for EGFR wild-type non-small-cell lung cancer: a real-world study in People's Republic of China.OncoTargets and therapy · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Patients with advanced non-small cell lung cancer (NSCLC) generally require second-line treatment although their prognosis is poor. In this multicenter study, we aimed to detect the characteristics related to patients and disease that can predict the response to second-line treatments in advanced NSCLC. Data of 904 patients who have progressed after receiving first-line platinum-based chemotherapy in 11 centers with the diagnosis of stage IIIB and IV NSCLC and who were evaluated for second-line treatment were retrospectively analyzed. The role of different factors in determining the benefit of second-line treatment was analyzed. Median age of patients was 57 years (range 19-86). Docetaxel was the most commonly used (20.9 %, n = 189) single agent, while gemcitabine-platinum was the most commonly used (6.7 %, n = 61) combination chemotherapy regimen in second-line setting. According to survival analysis, median progression-free survival after first-line treatment (PFS2) was 3.5 months (standard error (SE) 0.2; 95 % confidence interval (CI), 3.2-3.9), median overall survival (OS) was 6.7 months (SE 0.3; 95 % CI, 6.0-7.3). In multivariate analysis, independent factors affecting PFS2 were found to be hemoglobin (Hb) level over 12 g/dl and treatment-free interval (TFI) longer than 3 months (p = 0.006 and 0.003, respectively). Similarly, in OS analysis, Hb level over 12 g/dl and time elapsed after the first-line treatment that is longer than 3 months were found to be independent prognostic factors (p = 0.0001 and 0.045, respectively). In light of these findings, determining and using the parameters for which the treatment will be beneficial prior to second-line treatment can increase success rate.
Indexed as
Identifiers
26150339What OpenQuestion holds
Registered trials
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.