Evidence map›Paper›PMID 35715516›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2022

The combination of metabolic syndrome and inflammation increased the risk of colorectal cancer.

Tong Liu, Yali Fan, Qingsong Zhang, Yiming Wang, Nan Yao, Mengmeng Song, Qi Zhang, Liying Cao, Chunhua Song, Hanping Shi

Open access · hybridAbstract read
In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
3.3field-weighted citation impact, top 7% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 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

10 authors at 5 institutions in 1 country.

Tong Liu *Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
Yali Fan *Department of General Surgery, Aerospace Center Hospital, Beijing, 100038, China.
Qingsong Zhang *Department of General Surgery, Kailuan General Hospital, Tangshan, 063000, China.
Yiming WangDepartment of Hepatological Surgery, Kailuan General Hospital, Tangshan, 063000, China.
Nan YaoDepartment of General Surgery, Aerospace Center Hospital, Beijing, 100038, China.
Mengmeng SongDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
Qi ZhangDepartment of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.
Liying Cao *Department of Hepatological Surgery, Kailuan General Hospital, Tangshan, 063000, China. caoliying1964@163.com.
Chunhua Song *Department of Epidemiology and Statistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan, China. sch16@zzu.edu.cn.
Hanping Shi *Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China. shihp@ccmu.edu.cn.
Kailuan General Hospital · CNAerospace Center Hospital · CNCapital Medical University · CNBeijing Shijitan Hospital · CNZhengzhou University · CN

Funding

Beijing Municipal Science and Technology Commission SCW2018-06National Key Research and Development Program 2017YFC1309200
6 · The paper itself

Abstract

backgroundInflammation and metabolic syndrome (MetS) may act synergistically and possibly accelerate the initiation and progression of colorectal cancer (CRC). We prospectively examined the joint effect of MetS and inflammation on the risk of CRC.

methodsWe studied 92,770 individuals from the Kailuan study. MetS was defined based on the presence of three or more of the following components. (1) high glucose: FPG > 5.6 mmol/L; (2) high blood pressure: SBP ≥ 130 mmHg or DBP ≥ 85 mmHg; (3) high triglycerides: triglycerides > 1.69 mmol/L; (4) low HDL-C: HDL-C < 1.04 mmol/L in men or 1.29 mmol/L in women; and (5) visceral adiposity: waist circumference ≥ 85 cm in men or 80 cm in women. Inflammation was defined as hs-CRP ≥ 3 mg/L. We divided participants into four groups for the primary exposure according to the presence/absence of inflammation and presence/absence of MetS. Cox proportional hazards regression models were used to evaluate the association of MetS and/or inflammation with the risk of CRC.

resultsCompared with metabolically healthy noninflammatory individuals, inflammatory participants without MetS and inflammatory participants with MetS were associated with a 1.3-fold and 4.18-fold increased risk of CRC with corresponding HRs (95% CI) of 1.34 (1.09, 1.64) and 4.18 (3.11, 5.62), respectively. The combination of MetS and inflammation was associated with the highest risk of CRC in all subgroups, especially among participants who were female, in younger age, and obese. Sensitivity analyses further validated our primary findings.

conclusionsWe found the combination of MetS and inflammation could significantly increase the risk of CRC. Including CRP in the diagnosis of MetS may help to identify additional high-risk participants who should be targeted for early diagnosis and prevention of CRC. Trial registration Kailuan study, ChiCTR-TNRC-11001489. Registered 24 August, 2011-Retrospectively registered, http:// www.chictr.org.cn/showprojen.aspx?proj=8050.

Indexed as

Colorectal NeoplasmsMetabolic SyndromeFemaleHumansInflammationMaleRisk FactorsTriglyceridesWaist CircumferenceTriglyceridesColorectal cancerInflammationJoint-effectMetabolic syndrome

Identifiers

PMID35715516
PMCPMC9307555
OpenAlexW4283067453

What OpenQuestion holds

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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.