Evidence map›Paper›PMID 29125868›Full record

ArticlePloS one2017

Local thoracic therapy improve prognosis for stage IV non-small cell lung cancer patients combined with chemotherapy: A Surveillance, Epidemiology, and End Results database analysis.

Kaitai Liu, Dawei Zheng, GuoDong Xu, Zhennan Du, Shibo Wu

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Kaitai LiuDepartment of Radiation Oncology, Lihuili Hospital, Ningbo Medical Center, Ningbo, China.ORCID http://orcid.org/0000-0003-1757-5591
Dawei ZhengDepartment of Thoracic Surgery, Lihuili Hospital, Ningbo Medical Center, Ningbo, China.
GuoDong XuDepartment of Thoracic Surgery, Lihuili Hospital, Ningbo Medical Center, Ningbo, China.
Zhennan DuDepartment of Respiratory Medicine, Lihuili Hospital, Ningbo Medical Center, Ningbo, China.
Shibo WuDepartment of Respiratory Medicine, The Second Hospital of Yinzhou, Ningbo, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with stage IV non-small cell lung cancer (NSCLC) comprise a heterogeneous group, and the optimal treatment for this group of patients is complex and debatable. We aimed to assess the effect of local thoracic therapy combined with chemotherapy on cancer specific survival (CSS). To evaluate the CSS of four subgroups of patients with stage IV NSCLC according to four different treatment modalities: combined modality of Chemotherapy, Surgery, and Radiation (Chem+Sur+RT), Chemotherapy and Radiation (Chem+RT), Chemotherapy and Surgery (Chem+Sur), and Chemotherapy only (Chem Only) by analyzing the Surveillance, Epidemiology, and End Results (SEER)-registered database. Kaplan-Meier methods were adopted and multivariable Cox regression models were built for the analysis of survival outcomes and risk factors. The 3-year CSS was 33.5% in "Chem+Sur+RT" group, 9.3% in "Chem+RT" group, 42.7% in "Chem+Sur" group and 11.8% in "Chem Only" group, which had significant difference in univariate log-rank test (P<0.001) and multivariate Cox regression (P<0.001). Moreover, we observed significant survival benefits in "Chem+Sur" group in all stage of T/N categories, including stage I, stage II, stage IIIa and stage IIIb (all P<0.001). Multimodality therapy, especially combined thoracic surgery and chemotherapy is associated with dramatically improved prognosis for patients with stage IV NSCLC.

Indexed as

AdultAgedCarcinoma, Non-Small-Cell LungCombined Modality TherapyFemaleHumansLung NeoplasmsMaleMiddle AgedPrognosisSEER ProgramSurvival Analysis

Identifiers

PMID29125868
PMCPMC5695532

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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.