Evidence map›Paper›PMID 41100525›Full record

SynthesisPloS one2025

The association between serum lipid levels and colorectal cancer risk: A dose-response meta-analysis of 23 studies.

Iman Elahi Vahed, Zahra Esmaili, Mina Pourhabib Mamaghani, Shohreh Farshid, Behina Salarian, Mobina Alamdari, Zahra Azimizadeh, Zahra Rastad, Hoda Radmard, Hossein Soltaninejad and 1 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. 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

11 authors.

Iman Elahi VahedSchool of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Zahra EsmailiShiraz University of Medical Sciences, Shiraz, Iran.
Mina Pourhabib MamaghaniMedical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Shohreh FarshidUniversity of Gothenburg, Gothenburg, Sweden.
Behina SalarianMedical Campus, Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Mobina AlamdariTehran Medical Science, Islamic Azad University, Tehran, Iran.
Zahra AzimizadehShahid Sadoughi University of Medical Sciences, Yazd, Iran.
Zahra RastadSchool of Medicine, Zahedan University of Medical Sciences, Zahedan, Iran.
Hoda RadmardBirjand University of Medical Sciences, Birjand, Iran.
Hossein SoltaninejadDepartment of stem cells technology and Tissue Regeneration, Faculty of Interdisciplinary Science and Technologies, Tarbiat Modares University, Tehran, Iran.
Mohammad RahmanianGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-0024-1934

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) ranks as the third most prevalent cancer globally and the second leading cause of cancer-related mortality. Based on recent studies, lipid levels may have a relationship with the risk of CRC. This meta-analysis aims to better understand the association between various serum lipids and CRC risk.

methodsA comprehensive search was conducted in Web of Science, PubMed, and Scopus. This meta-analysis, including only prospective cohort studies, performed random-effects meta-analyses using the Restricted Maximum Likelihood (REML) model to assess the association between the highest versus lowest categories of serum triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL), and low-density lipoproteins (LDL) with the risk of CRC, primarily using hazard ratios (HR) as the effect size. Subgroup analyses (e.g., by tumor site, region, and risk of bias) and meta-regression analyses (e.g., for mean age, mean BMI, sex distribution, and duration of follow-up) were conducted to explore heterogeneity. Dose-response analyses were performed utilizing three model types.

resultsFollowing the screening of 27,278 articles, 23 articles have been included in this study finally. The associations between TG, TC, HDL, and LDL levels and the risk of CRC, colon, and rectum cancers were examined separately. Higher levels of TC were not significantly associated with the risk of CRC (HR = 1.08; 95% CI: 0.90-1.30; I2 = 50.55%; p = 0.4187) and colon cancer (HR = 1.08; 95% CI: 0.99-1.18; I2 = 35.57%; p = 0.0720), but were significantly associated with an increased risk of rectum cancer (HR = 1.19; 95% CI: 1.08-1.32; I2 = 28.36%; p = 0.0004). Higher levels of TG were associated with an increased hazard of CRC (HR 1.11; 95% CI: 1.044-1.18; I2 = 0.0%; p = 0.0008). For colon cancer, TG showed a marginally significant association (HR 1.23; 95% CI: 0.99-1.55; I2 = 52.0%; p = 0.0576). No significant association was found between TG levels and rectum cancer risk (HR 1.036; 95% CI: 0.69-1.56; I2 = 67.29%; p = 0.8674).Also, higher levels of HDL were not significantly associated with the risk of CRC (HR 0.93; 95% CI: 0.83-1.03; I2 = 28.8%; p = 0.1527), colon cancer (HR 0.94; 95% CI: 0.75-1.19; I2 = 0.0%; p = 0.6243), and rectum cancer (HR: 0.95; 95% CI: 0.66;1.37; I2 = 0.0%; p = 0.7888). For colon cancer, higher LDL level was not significantly associated with risk (HR 0.91; 95% CI: 0.60-1.37; p = 0.21; I2 = 37%; p = 6558). Accordingly quadratic and RCS models represented as lowest AIC for TC (p = 0.026), for TG (p = 0.004), for LDL (p = 0.942) and for HDL (p = 0.295).

conclusionHigher TG level was significantly associated with increased risk of CRC and showed a borderline association with colon cancer (HR 1.23, 95% CI 0.99-1.55; p = 0.0576), while TC, HDL, and LDL showed no significant associations with these cancers. For rectum cancer, higher TC was significantly linked to increased risk, whereas TG, HDL, and LDL showed no significant associations. Future research should prioritize longitudinal studies to investigate the mechanistic roles of hormones and the gut microbiota in modulating colorectal cancer risk, alongside multi-omics studies that integrate lipid metabolism with other biological variables such as inflammatory markers and genetic predispositions. These efforts could clarify causal pathways and inform targeted prevention strategies.

Indexed as

Colorectal NeoplasmsLipidsFemaleHumansMaleRisk FactorsTriglyceridesLipidsTriglycerides

Identifiers

PMID41100525
PMCPMC12530605

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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.