Evidence map›Paper›PMID 26617943›Full record

ArticleInternational journal of clinical and experimental pathology2015

Decreased pretreatment serum cholesterol level is related with poor prognosis in resectable non-small cell lung cancer.

Jin-Rui Li, Ye Zhang, Jia-Lian Zheng

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 citations in OpenAlex.

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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

3 authors at 1 institution in 1 country.

Jin-Rui LiDepartment of Medical Oncology, Jiaxing First Hospital Jiaxing 314001, Zhejiang Province, China.
Ye ZhangDepartment of Medical Oncology, Jiaxing First Hospital Jiaxing 314001, Zhejiang Province, China.
Jia-Lian ZhengDepartment of Medical Oncology, Jiaxing First Hospital Jiaxing 314001, Zhejiang Province, China.
First Hospital of Jiaxing · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cholesterol has been reported to be associated with cancer development. The aim of our study was to investigate the serum cholesterol level (TC) in non-small cell lung cancer (NSCLC) patients and their association with clinicopathologic parameters and the prognosis. The serum cholesterol levels were evaluated in 259 resected NSCLC patients and were correlated with clinicopathologic variables including age, gender, tumor size, regional lymph node metastasis, disease-free survival time and overall survival time. Preoperative serum TC level was significantly associated with gender (P=0.001), smoking history (P=0.016), tumor differentiation (P=0.027), pT stage (P<0.001) and pN stage (P=0.009). Multivariate analyses indicated that decreased serum TC level was an independent prognostic factor for worse outcome. The hazard ratio was 1.89 (95% confidence interval [CI] 1.09-3.26) for disease progression and 2.19 (95% CI 1.01-4.74) for death. Based on this finding, the pretreatment serum cholesterol level is a novel independent prognostic biomarker in resectable NSCLC.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCell DifferentiationChinaChi-Square DistributionCholesterolDisease-Free SurvivalDown-RegulationFemaleHumansKaplan-Meier EstimateLung NeoplasmsMaleMiddle AgedCholesterolCholesterolnon-small cell lung cancerprognosissurgery

Identifiers

PMID26617943
PMCPMC4637759
OpenAlexW2405341926

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.