Evidence map›Paper›PMID 30081869›Full record

ArticleBMC cancer2018

Prediction of three lipid derivatives for postoperative gastric cancer mortality: the Fujian prospective investigation of cancer (FIESTA) study.

Dan Hu, Feng Peng, Xiandong Lin, Gang Chen, Binying Liang, Ying Chen, Chao Li, Hejun Zhang, Guohui Fan, Guodong Xu and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

16 citing papers in PubMed, 23 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

14 authors at 2 institutions in 1 country.

Dan HuDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China.
Feng PengDepartment of Cardiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xiandong LinDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China.
Gang ChenDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China.
Binying LiangDepartment of Medical Record, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Ying ChenDepartment of Core Research Laboratory, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou, Fujian, China.
Chao LiDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China.
Hejun ZhangDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China.
Guohui FanInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chao Yang District, Beijing, 100029, China.
Guodong XuInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chao Yang District, Beijing, 100029, China.
Yan XiaDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China.
Jinxiu LinDepartment of Cardiology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China.
Xiongwei ZhengDepartment of Pathology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, No.420 Fu Ma Road, Jin An District, Fuzhou, 350014, Fujian, China. agu1960@126.com.
Wenquan NiuInstitute of Clinical Medical Sciences, China-Japan Friendship Hospital, No.2 Yinghua East Street, Chao Yang District, Beijing, 100029, China. niuwenquan_shcn@163.com.ORCID http://orcid.org/0000-0003-1715-3372
Fujian Medical University · CNChina-Japan Friendship Hospital · CN

Funding

Natural Science Foundation of Fujian Province 2015J01451Natural Science Foundation of Fujian Province 2016J01508
6 · The paper itself

Abstract

backgroundAs we previously reported, the presence of preoperative metabolic syndrome can predict the significant risk of gastric cancer mortality. As a further extension, we evaluated the prediction of three lipid derivatives generated from triglycerides (TG), total cholesterol (TC), high- and low-density lipoprotein cholesterol (HDLC and LDLC) at baseline for postoperative gastric cancer mortality by prospectively analysing 3012 patients. The three lipid derivatives included the ratio of TC minus HDLC to HDLC known as atherogenic index (AI), the ratio of TG to HDLC abbreviated as THR and the ratio of LDLC to HDLC abbreviated as LHR.

methodsGastric cancer patients who received gastrectomy between January 2000 and December 2010 were consecutively recruited from Fujian Cancer Hospital. Follow-up assessment was implemented annually before December 2015.

resultsFinally, there were 1331 deaths from gastric cancer and 1681 survivors, with a median follow-up time of 44.05 months. 3012 patients were evenly randomized into the derivation group and the validation group, and both groups were well balanced at baseline. Overall adjusted estimates in the derivation group were statistically significant for three lipid derivatives (hazard ratio [HR]: 1.20, 1.17 and 1.19 for AI, THR and LHR, respectively, all P < 0.001), and were reproducible in the validation group. The risk prediction of three lipid derivatives was more obvious in males than females, in patients with tumor-node-metastasis stage I-II than stage III-IV, in patients with intestinal-type than diffuse-type gastric cancer, in patients with normal weight than obesity, and in patients without hypertension than with hypertension, especially for AI and LHR, and all results were reproducible. Calibration and discrimination statistics showed good reclassification performance and predictive accuracy when separately adding three lipid derivatives to baseline risk model. A prognostic nomogram was accordingly built based on significant attributes to facilitate risk assessment, with a good prediction capability.

conclusionsOur results indicate that preoperative lipid derivatives, especially AI and LHR, are powerful predictors of postoperative gastric cancer mortality, with more obvious prediction in patients of male gender or with tumor-node-metastasis stage I-II or intestinal-type gastric cancer, and in the absence of obesity or hypertension before gastrectomy.

Indexed as

Decision Support TechniquesAgedBiomarkers, TumorChinaCholesterolCholesterol, HDLCholesterol, LDLFemaleGastrectomyHumansMaleMiddle AgedNomogramsPredictive Value of TestsProspective StudiesRisk AssessmentBiomarkers, TumorCholesterolCholesterol, HDLCholesterol, LDLTriglyceridesGastric cancerLipid derivativeMetabolic syndromeMortalityPrognosisThe FIESTA study

Identifiers

PMID30081869
PMCPMC6080391
OpenAlexW2887109989

What OpenQuestion holds

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LicenceCC BY
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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.