Evidence map›Paper›PMID 37301769›Full record

SynthesisJournal of the American Heart Association2023

Causal Association Between Anemia and Cardiovascular Disease: A 2-Sample Bidirectional Mendelian Randomization Study.

Ting Gan, Jing Hu, Wenhu Liu, Cui Li, Qian Xu, Ya Wang, Shuai Lu, Anwer Khalid Okab Aledan, Yan Wang, Zhaohui Wang

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Journal of the American Heart Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
24.4field-weighted citation impact, top 1% 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it, 74 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

10 authors at 1 institution in 1 country.

Ting GanDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Jing HuDepartment of Infectious Diseases, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Wenhu LiuDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Cui LiDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Qian XuDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Ya WangDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Shuai LuDepartment of Cardiac Surgery, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Anwer Khalid Okab AledanDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Yan WangDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.
Zhaohui WangDepartment of Cardiology, Union Hospital Tongji Medical College, Huazhong University of Science and Technology Wuhan China.ORCID 0000-0003-4357-9780
Union Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Although previous observational studies have shown an association between anemia and cardiovascular disease (CVD), the underlying causal relationship between anemia and CVD remains uncertain. Methods and Results We conducted a 2-sample bidirectional Mendelian randomization (MR) study to assess the causal association between anemia and CVD. We extracted summary statistics data for anemia, heart failure (HF), coronary artery disease (CAD), atrial fibrillation, any stroke, and any ischemic stroke (AIS) from relevant published genome-wide association studies. After rigorous quality control steps, independent single-nucleotide polymorphisms for each disease were selected as instrumental variables. Inverse-variance weighting was used as the primary method to estimate the causal association between anemia and CVD in the 2-sample MR analysis. Simultaneously, we performed a series of multiple methods analyses (median weighting, maximum likelihood [MR robust adjusted profile score]), sensitivity analyses (Cochran's

Indexed as

AnemiaAtrial FibrillationCardiovascular DiseasesCoronary Artery DiseaseHeart FailureStrokeGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansMendelian Randomization AnalysisReproducibility of Resultsanemiaany ischemic strokeatrial fibrillationcardiovascular diseasecoronary artery diseaseheart failureMendelian randomizationstroke

Identifiers

PMID37301769
PMCPMC10356041
OpenAlexW4380203764

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.