Evidence map›Paper›PMID 37693134›Full record

ArticleAmerican journal of cancer research2023

Genetic association of cardiovascular disease related biomarkers with the overall survival of hepatocellular carcinoma: a Mendelian randomization analysis.

Qiuping Wen, Qiuling Lin, Peiqin Chen, Zihan Zhou, Yingchun Liu, Moqin Qiu, Yanji Jiang, Xianguo Zhou, Xiumei Liang, Hongping Yu

Open access · greenAbstract read
In one paragraph

Article in American journal of cancer research, 2023. 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
0.7field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  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

10 authors at 1 institution in 1 country.

Qiuping WenDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University Nanning, Guangxi, China.
Qiuling LinDepartment of Clinical Trial Base, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Peiqin ChenDepartment of Experimental Research, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Zihan ZhouDepartment of Cancer Prevention and Control, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Yingchun LiuDepartment of Experimental Research, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Moqin QiuDepartment of Respiratory Oncology, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Yanji JiangDepartment of Scientific Research, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Xianguo ZhouDepartment of Experimental Research, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Xiumei LiangDepartment of Disease Process Management, Guangxi Medical University Cancer Hospital Nanning, Guangxi, China.
Hongping YuDepartment of Epidemiology and Health Statistics, School of Public Health, Guangxi Medical University Nanning, Guangxi, China.
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Observational studies have reported associations between circulating biomarkers related to cardiovascular disease and the survival of patients with hepatocellular carcinoma. However, the relationship between these biomarkers and survival remains controversial. We conducted a two-sample Mendelian randomization analysis to investigate possible causal associations between cardiovascular disease biomarkers and hepatocellular carcinoma survival. Genetic risk scores, calculated using individual-level data from 866 cases of hepatitis B virus-related hepatocellular carcinoma in Guangxi, were utilized as proxies for four cardiovascular disease biomarkers: C-reactive protein, Apolipoprotein A-1, Cystatin C, and Lipoprotein(a). Associations between the genetic scores and survival were analyzed using Cox regression. The inverse-variance weighted method was used to estimate the summary statistics for the biomarkers and survival. Considering the multiple comparisons, the statistical significance was set at

Indexed as

Cardiovascular disease biomarkershepatocellular carcinomaMendelian randomizationsurvival

Identifiers

PMID37693134
PMCPMC10492132
OpenAlexW4386593179

What OpenQuestion holds

Textmetadata
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.