Evidence map›Paper›PMID 37213310›Full record

ArticleFrontiers in oncology2023

Relationship between lipoprotein(a) and colorectal cancer among inpatients: a retrospective study.

Huijie Wang, Huanwei Zheng, Ping Meng, Xu Cao, Jinli Liu, Teng Zhang, Haiying Zuo, Zhichao Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

7 citing papers in PubMed, 11 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 3 institutions in 1 country.

Huijie WangDepartment of Endoscopy, Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China.
Huanwei ZhengDepartment of Gastroenterology, Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China.
Ping MengDepartment of Gastroenterology, Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China.
Xu CaoDepartment of Endoscopy, Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China.
Jinli LiuDepartment of Endoscopy, Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China.
Teng ZhangInstitute of Traditional Chinese Medicine, North China University of Science and Technology, Tangshan, China.
Haiying ZuoGraduate School, Hebei North University, Zhangjiakou, China.
Zhichao WangGraduate School, Hebei North University, Zhangjiakou, China.
Jining Traditional Chinese Medicine Hospital · CNHebei North University · CNNorth China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study was to explore the association between lipoprotein(a) [Lp(a)] and colorectal cancer (CRC) among inpatients. This study included 2822 participants (393 cases vs. 2429 controls) between April 2015 and June 2022. Logistic regression models, smooth curve fitting, and sensitivity analyses were performed to investigate the relationship between Lp(a) and CRC. Compared with the lower Lp(a) quantile 1 (<79.6 mg/L), the adjusted odds ratios (ORs) in quantile 2 (79.6-145.0 mg/L), quantile 3 (146.0-299.0 mg/L), and quantile 4 (≥300.0 mg/L) were 1.41 (95% confidence interval [CI]: 0.95-2.09), 1.54 (95% CI: 1.04-2.27), 1.84 (95% CI: 1.25-2.7), respectively. A linear relationship between lipoprotein(a) and CRC was observed. The finding that Lp(a) has a positive association with CRC supports the "common soil" hypothesis of cardiovascular disease (CVD) and CRC.

Indexed as

associationcase-control studycolorectal cancerlipoprotein(a)retrospective study

Identifiers

PMID37213310
PMCPMC10196502
OpenAlexW4377220441

What OpenQuestion holds

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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.