Evidence map›Paper›PMID 27309531›Full record

ArticlePloS one2016

Preoperative Body Mass Index, Blood Albumin and Triglycerides Predict Survival for Patients with Gastric Cancer.

Bin Zheng Liu, Lin Tao, Yun Zhao Chen, Xu Zhe Li, Yu Ling Dong, Ya Jing Ma, Shu Gang Li, Feng Li, Wen Jie Zhang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 2 pooled it
6.1field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 2 syntheses or guidelines pooled it, 69 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

9 authors at 3 institutions in 1 country.

Bin Zheng LiuDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Lin TaoDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Yun Zhao ChenDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Xu Zhe LiDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Yu Ling DongDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Ya Jing MaClinical Laboratory, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Shu Gang LiDepartment of Preventive Medicine, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Feng LiDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Wen Jie ZhangDepartment of Pathology, the First Affiliated University Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
Shihezi University · CNBeijing Chao-Yang Hospital · CNFirst Affiliated Hospital of Shihezi University Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer (GC) is common and its prognosis is often poor due to difficulties in early diagnosis and optimal treatment strategies. TNM staging system is useful in predicting prognosis but only possible after surgery. Therefore, it is desirable to investigate prognostic factors/markers that may predict prognosis before surgery by which helps appropriate management decisions preoperatively.

methodsA total of 320 GC patients were consecutively recruited from 2004 to 2013 and followed up for 127 months (10.6 years) after surgery. These patients' were examined for body mass index (BMI) and blood levels of albumin, triglyceride, total cholesterol, low density lipoprotein cholesterol (LDL-C), and high density lipoprotein cholesterol (HDL-C). Kaplan-Meier method and log rank test were used to analyze long-term survival using the above potential risk markers. We first employed medians of these variables to reveal maximal potentials of the above prognostic predictors.

resultsThree major findings were obtained: (1) Preoperative BMI was positively correlated with albumin (r = 0.144, P<0.05) and triglyceride (r = 0.365, P<0.01), but negatively correlated with TNM staging (r = -0.265, P<0.05). Preoperative albumin levels were positively correlated with triglyceride (r = 0.173, P<0.05) but again, negatively correlated with TNM staging (r = -0.137, P<0.05); (2) Poor survival was observed in GC patients with lower levels of BMI (P = 0.028), albumin (P = 0.004), and triglyceride (P = 0.043), respectively. Receiver operating characteristic (ROC) curve analyses suggested BMI, albumin and triglyceride to have survival-predictor powers similar to TNM system; and (3) Cox multi-factorial analyses demonstrated that age (P = 0.049), BMI (P = 0.016), cell differentiation (P = 0.001), and TNM staging (P = 0.011) were independent overall survival-predictors for GC patients.

conclusionsPreoperative BMI, albumin, and triglyceride levels are capable of predicting survival for GC patients superior to postoperative TNM system in terms of timing for management. As potential survival-predictors, preoperative tests of BMI, albumin and triglyceride, combined with clinical imaging, may help personalized management for GC patients including planning surgical strategy, optimal radio-chemotherapy and appropriate follow-up intervals after surgery.

Indexed as

Body Mass IndexAdultAgedAged, 80 and overBiomarkersCholesterol, HDLCholesterol, LDLFemaleFollow-Up StudiesHumansMaleMiddle AgedNeoplasm StagingPredictive Value of TestsPreoperative PeriodPrognosisBiomarkersCholesterol, HDLCholesterol, LDLSerum AlbuminTriglycerides

Identifiers

PMID27309531
PMCPMC4911005
OpenAlexW2437897888

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.