Evidence map›Paper›PMID 36242019›Full record

Observational studyLipids in health and disease2022

The associations between lipid profiles and visceral obesity among gastrointestinal cancer patients: a cross-sectional study.

Bo Gao, Xiangrui Li, Wenqing Chen, Shu'an Wang, Jian He, Yu Liu, Chao Ding, Xiaotian Chen

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Lipids in health and disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 15 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

8 authors at 2 institutions in 1 country.

Bo Gao *Department of Clinical Nutrition, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Gulou District, Nanjing, China.
Xiangrui Li *Department of Clinical Nutrition, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Gulou District, Nanjing, China.
Wenqing ChenDepartment of Clinical Nutrition, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Gulou District, Nanjing, China.
Shu'an WangDepartment of Clinical Nutrition, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Gulou District, Nanjing, China.
Jian HeDepartment of Radiology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Gulou District, 321 Zhongshan Road, Nanjing, China.
Yu LiuDepartment of Gynecology and Obstetrics, Women's Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, 1 Tianfei Road, Qinhuai District, Nanjing, China.
Chao Ding *Department of General Surgery, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Gulou District, 321 Zhongshan Road, Nanjing, China. dingchao21@nju.edu.cn.
Xiaotian Chen *Department of Clinical Nutrition, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, 321 Zhongshan Road, Gulou District, Nanjing, China. xttchen@163.com.
Nanjing Drum Tower Hospital · CNNanjing Medical University · CN

Funding

National Natural Science Foundation of China 82172149The Jiangsu Provincial Hospital Management Innovation Research Project JSYGY-3-2019-305
6 · The paper itself

Abstract

backgroundVisceral obesity is associated with cancer incidence and prognosis. Altered lipid profiles are frequently seen in visceral obese patients. The blood test of lipid profiles is more convenient and has no radical side effects than computed tomography (CT), which is presently the most accurate way to measure visceral fat area. This article aims to investigate the associations between lipid profiles and visceral obesity in gastrointestinal cancer patients.

methodsIn total, 399 patients newly diagnosed with gastrointestinal cancer were enrolled in this observational study. Lipid profiles were obtained from blood samples, and visceral fat mass area (VFA) was measured by CT. VFA ≥ 100 cm

resultsPatients who had visceral obesity had higher triglyceride (TG) levels (1.20 ± 0.60 vs. 0.87 ± 0.57 mmo/L, P < 0.001), total cholesterol (TC) levels (3.57 ± 0.84 vs. 3.40 ± 0.82, P = 0.044), and low-density lipoprotein (LDL-C) levels (2.08 ± 0.66 vs. 1.94 ± 0.66, P = 0.047) and lower high-density lipoprotein (HDL-C) levels (0.88 ± 0.24 vs. 1.00 ± 0.26, P < 0.001) than those in the normal group. TG was positively correlated with VFA (r = 0.299, P < 0.001), while HDL-C was inversely correlated with VFA (r = -0.237, P < 0.001). TG and HDL-C had predictive capacity for visceral obesity at cutoff levels of 0.92 mmol/L (AUROC 0.700, 95% CI, 0.653-0.745, P < 0.001) and 0.98 mmol/L (AUROC 0.700, 95% CI, 0.585-0.682, P < 0.001), respectively. TG > 0.92 mmol/L with HDL-C < 0.98 mmol/L was linked with an increased risk of visceral obesity (OR = 4.068, 95% CI, 2.338-7.079, P < 0.001).

conclusionsLipid profiles were significantly correlated with VFA. Gastrointestinal cancer patients with TG > 0.92 mmol/L and HDL-C < 0.98 mmol/L were at elevated risk of visceral obesity in the Chinese population. Identifying visceral obesity and taking proper actions in gastrointestinal cancers are helpful for overall tumor prognosis.

Indexed as

Gastrointestinal NeoplasmsObesity, AbdominalCholesterol, HDLCholesterol, LDLCross-Sectional StudiesHumansLipoproteins, HDLObesityTriglyceridesCholesterol, HDLCholesterol, LDLLipoproteins, HDLTriglyceridesDiagnosticGastrointestinal cancerLipid profilesVisceral obesity

Identifiers

PMID36242019
PMCPMC9563782
OpenAlexW4306164220

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.