Evidence map›Paper›PMID 29108317›Full record

ArticleOncotarget2017

Prognostic value of number of negative lymph node in patients with stage II and IIIa non-small cell lung cancer.

Shengguang Wang, Bin Zhang, Chenguang Li, Chao Cui, Dongsheng Yue, Bowen Shi, Qiang Zhang, Zhenfa Zhang, Xi Zhang, Changli Wang

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

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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

10 authors.

Shengguang WangDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Bin ZhangDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Chenguang LiDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Chao CuiGraduate School, Tianjin Medical University, Tianjin, 300070, China.
Dongsheng YueDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Bowen ShiDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Qiang ZhangDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Zhenfa ZhangDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
Xi ZhangAffiliated Yueqing Hospital, Wenzhou Medical University, Wenzhou, Zhejiang, 325000, China.
Changli WangDepartment of Lung Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe definitive validation evidence of the implications of lymph node metastases regarding the survival of Non-Small Cell Lung Cancer (NSCLC) patients is lacking. We aimed to evaluate the prognostic impact of several lymph node metastases-associated risk factors including Number of Negative Lymph Node (NLN) and risk-stratify NSCLC patients into subsets with different prognosis.

methodA total of 482 patients with N1 and N2 NSCLC were included in this study. The prognostic importance of a set of risk factors was examined by univariate and multivariate analysis. The cut-off points and 5 years survival rates were calculated to test the best grouping system to stratify the patients with difference outcome.

resultsOur analysis indicated that both Ratio of the Metastatic Lymph nodes (RML) and Number of Negative Lymph Node (NLN) were associated with overall survival (OS) and disease free survival (DFS). RML percentage 20% and 55%, and NLN counts 10 and 30 were proved as the optimal cut-off points to predict OS by classifying patients into 3 groups, respectively. RML and NLN actually are more powerful in predicting survival outcome for male patients compared to female patients. Stratified survival analyses using combined factors indicated that the 5-year survival rate (5-YSR) is high in RML I + NLN I/III subgroup (5-YSR = 57.1% and 43.3%) and low in RML III + NLN II/III subgroup (5-YSR = 0.0 % each).

conclusionsNLN is a strong prognostic factor for OS and DFS of stage II/IIIa NSCLC patients, and provides a useful classification scheme for NSCLC patients when combined with RML.

Indexed as

NLNNSCLCprognostic factorRML

Identifiers

PMID29108317
PMCPMC5668050

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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.