Evidence map›Paper›PMID 36368935›Full record

Observational studyBMC gastroenterology2022

Association between metabolic syndrome and colorectal cancer incidence and all-cause mortality: a hospital-based observational study.

Kuan-Chih Chung, Sin-Ei Juang, Hong-Hwa Chen, Kung-Chuan Cheng, Kuen-Lin Wu, Ling-Chiao Song, Ko-Chao Lee

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC gastroenterology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
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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

7 authors at 3 institutions in 1 country.

Kuan-Chih Chung *Department of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Sin-Ei Juang *Department of Anesthesiology, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Hong-Hwa ChenDivision of Colorectal Surgery, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Kung-Chuan ChengDivision of Colorectal Surgery, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Kuen-Lin WuDivision of Colorectal Surgery, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan.
Ling-Chiao SongDivision of Colon & Rectal Surgery, Department of Surgery, E-DA Hospital, I-Shou University, Kaohsiung, Taiwan.
Ko-Chao LeeDivision of Colorectal Surgery, Department of Surgery, Kaohsiung Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Kaohsiung, Taiwan. kmch4329@gmail.com.
Chang Gung University · TWKaohsiung Chang Gung Memorial Hospital · TWI-Shou University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) is a worldwide pandemic and complex disorder associated with colorectal cancer (CRC). This study aims to identify the influence of number of MetS components on CRC incidence and mortality, using a national, longitudinal dataset of hospital care in Taiwan.

methodsPatient data from the Taiwan National Health Insurance Research Database (NHIRD) from 2001 to 2008 were extracted. Individuals with at least one inpatient diagnosis or 2 outpatient visits with any MetS component found within one year were identified and included. Subjects died within 12 months after the presence of MetS components or had any prior cancer were excluded. The study cohort were then divided into two groups: subjects who had more (i.e., 3 to 4) MetS components and those who had fewer (i.e., 1 to 2) MetS components. An 2:1 propensity score (PS) matching were performed to balance the baseline characteristics between the groups. Cox regression analyses were conducted to compare the CRC incidence and all-cause mortality at follow-up between subjects with more MetS components versus fewer components.

resultsAfter matching, a total of 119,843 subjects (78,274 with 1-2 and 41,569 with 3-4 MetS components) were analyzed. After adjusting for confounders, subjects with 3-4 MetS components had a significantly higher risk of CRC [adjusted hazard ratio (aHR), 1.28; 95% confidence interval (CI), 1.15-1.43, p < 0.001) and all-cause mortality (aHR, 1.13; 95% CI, 1.08-1.17, p < 0.001) than those with only 1-2 MetS components. In stratified analyses, the greatest increased risk of CRC incidence that 3-4 MetS components posed as compared to 1-2 MetS components was seen in subjects without CHD history (aHR, 1.41, 95% CI, 1.23-1.62, p < 0.001). In addition, 3-4 MetS components (vs. 1-2) led to greater all-cause mortality among the subjects < 65y, both genders, with or without CHD, subjects without CKD hisotry, both aspirin users and non-users, users of nonsteroidal anti-inflammatory drugs (NSAIDs), and users of statin.

conclusionCompared with 1-2 components, subjects with 3-4 MetS components are at greater risk of CRC and death at follow-up. This study also demonstrates the risks for CRC and all-cause mortality in certain subgroups of individuals with 3-4 MetS components compared to 1-2 components. These findings may help clinicians on the CRC risk stratification according to individuals' characteristics, as well as to optimize the strategy of MetS surveillance and control in order to prevent CRC.

Indexed as

Colorectal NeoplasmsMetabolic SyndromeFemaleHospitalsHumansIncidenceMaleRisk FactorsColorectal cancer (CRC)Metabolic syndrome (MetS)Mortality

Identifiers

PMID36368935
PMCPMC9652933
OpenAlexW4308914941

What Socratic 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 Socratic graph.