Evidence map›Paper›PMID 39034950›Full record

ArticleOpen medicine (Warsaw, Poland)2024

New target-HMGCR inhibitors for the treatment of primary sclerosing cholangitis: A drug Mendelian randomization study.

Jie Zhou, Yixin Xu, Haitao Wang, Zhilin Liu

Abstract read
In one paragraph

Article in Open medicine (Warsaw, Poland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. CPDP: Contrastive Protein-Drug Pre-Training for Novel Drug Discovery.International journal of molecular sciences · 2025
    Article
  3. 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

4 authors.

Jie ZhouDepartment of General Surgery, The Wujin Hospital Affiliated with Jiangsu University, Changzhou, Jiangsu Province, 213003, China.
Yixin XuDepartment of General Surgery, The Wujin Hospital Affiliated with Jiangsu University, No. 2, Yongning North Road, Changzhou, Jiangsu Province, 213003, China.ORCID https://orcid.org/0000-0003-2164-1483
Haitao WangDepartment of General Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.
Zhilin LiuDepartment of General Surgery, The Third Affiliated Hospital of Soochow University, Changzhou, 213003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: No intervention definitively extends transplant-free survival in primary sclerosing cholangitis (PSC). Statins, inhibitors of 3-hydroxy-3-methylglutaryl coenzyme A reductase (HMGCR), may enhance PSC prognosis, but their efficacy is debated. Methods: We analyzed HMGCR single-nucleotide polymorphisms from published genome-wide association studies using Mendelian randomization to assess the causal relationship between HMGCR and PSC risk. Effects of HMGCR were compared with proprotein convertase subtilisin kexin 9 (PCSK9) inhibitors, common lipid-lowering drugs, using coronary heart disease risk as a positive control. The inverse-variance weighted (IVW) method was the primary analysis, complemented by the weighted median method. Heterogeneity analysis, examination of horizontal pleiotropy, and leave-one-out sensitivity analysis were conducted for result robustness. Results: Genetically predicted HMGCR exhibited a pronounced detrimental effect on PSC in both the IVW method (odds ratio [OR] [95%] = 2.43 [1.23-4.78], Conclusion: This study has confirmed a causal relationship between HMGCR and PSC risk, suggesting statins targeting HMGCR could enhance PSC patient outcomes.

Indexed as

efficacymendelian randomizationprimary sclerosing cholangitissingle-nucleotide polymorphismstatin

Identifiers

PMID39034950
PMCPMC11260000

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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.