Evidence map›Paper›PMID 33148263›Full record

ArticleLipids in health and disease2020

Bidirectional association between serum carcinoembryonic antigen and metabolic syndrome among the Chinese male population: two cohort studies.

Yafei Liu, Zhaohui Du, Jiadong Ji, Jingru Li, Deming Bi, Fang Tang

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
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

6 authors at 6 institutions in 2 countries.

Yafei LiuCenter for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.
Zhaohui DuFred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
Jiadong JiDepartment of Data Science, School of Statistics, Shandong University of Finance and Economics, Jinan, China.
Jingru LiSchool of Public Health, Weifang Medical University, Weifang, China.
Deming BiDepartment of Surgery, Zhangqiu District Hospital of Traditional Chinese Medicine, Jinan, China. iambdm@126.com.
Fang TangCenter for Big Data Research in Health and Medicine, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China. tangfangsdu@gmail.com.
Fred Hutch Cancer Center · USShandong First Medical University · CNShandong Provincial QianFoShan Hospital · CNShandong University of Finance and Economics · CNWeifang Medical University · CNZhangqiu City People's Hospital · CN

Funding

Academic Promotion Programme of Shandong First Medical University 2019LJ005Academic Promotion Programme of Shandong First Medical University 2019QL013Key Technology Research and Development Program of Shandong 2016GSF201075National Natural Science Foundation of China 71804093Natural Science Foundation of Shandong Province ZR2015HL102Shandong Provincial Medical and Health Science and Technology Development Project 2016WS0478
6 · The paper itself

Abstract

purposePrevious studies have shown that serum carcinoembryonic antigen (CEA) is independently associated with metabolic syndrome (MetS). However, these studies were mainly cross-sectional analyses, and cause was not clarified. In the present study, two bidirectional cohort studies were conducted to investigate the bidirectional associations between CEA and MetS using a Chinese male sample cohort.

methodsThe initial longitudinal cohort included 9629 Chinese males enrolled from January 2010 to December 2015. Two bidirectional cohorts were conducted in the study: subcohort A (from CEA to MetS, n = 6439) included participants without MetS at baseline to estimate the risk of developing incident MetS; subcohort B (from MetS to CEA, n = 8533) included participants without an elevated CEA level (Hyper-CEA) at baseline to examine the risk of developing incident Hyper-CEA. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated using Cox proportional hazards models.

resultsIn subcohort A, the incidence densities of MetS among participants with and without Hyper-CEA were 84.56 and 99.28 per 1000 person-years, respectively. No significant effects of Hyper-CEA on incident MetS were observed in subcohort A (HR, 0.89; 95% CI, 0.71 to 1.12; P = 0.326). In subcohort B, a higher incidence density of Hyper-CEA was found among participants with MetS (33.42 and 29.13 per 1000 person-years for those with and without MetS, respectively). For nonsmoking participants aged > 65 years, MetS increased the risk of incident Hyper-CEA (HR, 1.87; 95% CI, 1.09 to 3.20; P = 0.022).

conclusionFor the direction of CEA on incident MetS, no significant association was observed. For the direction of MetS on incident Hyper-CEA, MetS in nonsmoking elderly men could increase the risk of incident Hyper-CEA, while this association was not found in other stratified participants. The clinical implications of the association between CEA and MetS should be interpreted with caution.

Indexed as

AdultAsian PeopleCarcinoembryonic AntigenCohort StudiesHumansIncidenceMaleMetabolic SyndromeMiddle AgedSmokingCarcinoembryonic AntigenBidirectional associationCarcinoembryonic antigenCohort studyCox proportional hazards modelHazard ratioMetabolic syndromeSmoking

Identifiers

PMID33148263
PMCPMC7643476
OpenAlexW3096077784

What OpenQuestion holds

Textmetadata
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.