Evidence map›Paper›PMID 37012349›Full record

ArticleJournal of human genetics2023

Hematologic traits and primary biliary cholangitis: a Mendelian randomization study.

Bin Ke, Chunyu Li, Huifang Shang

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 3 citations in OpenAlex.

  1. Pooled it
  2. Review
  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

3 authors at 1 institution in 1 country.

Bin KeDepartment of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Chunyu LiDepartment of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China. lichunyu@scu.edu.cn.
Huifang ShangDepartment of Neurology, Laboratory of Neurodegenerative Disorders, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, Sichuan, China. hfshang2002@126.com.ORCID http://orcid.org/0000-0003-0947-1151
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hematologic abnormalities was observationally associated with the susceptibility of primary biliary cholangitis (PBC). However, the conclusion is still controversial and whether there exists a causal association remains elusive. Here we aimed to explore the causative role of hematological traits in the risk of PBC. We conducted two-sample and multivariable Mendelian randomization analyses based on summary statistics from previous large genome-wide association studies. Totally twelve red blood cell and six white blood cell traits were analyzed. Genetically determined higher hemoglobin level was significantly associated with a reduced risk of PBC (OR: 0.62, 95% CI: 0.47-0.81, P: 5.59E-04). Meanwhile, higher hematocrit level was nominally associated with reduced risk of PBC (OR: 0.73, 95% CI: 0.57-0.93, P: 0.01). These results could help better understand the role of hematological traits in the risk of PBC, and provide potential targets for the disease prevention and treatment.

Indexed as

Liver Cirrhosis, BiliaryCausalityGenome-Wide Association StudyHumansMendelian Randomization AnalysisPhenotype

Identifiers

PMID37012349
OpenAlexW4362521059

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.