Evidence map›Paper›PMID 34431050›Full record

ArticleEnvironmental science and pollution research international2022

Using Mendelian randomization as the cornerstone for causal inference in epidemiology.

Jianguo Xu, Muyang Li, Ya Gao, Ming Liu, Shuzhen Shi, Jiyuan Shi, Kelu Yang, Zheng Zhou, Jinhui Tian

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

9 authors.

Jianguo Xu *Evidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Muyang Li *The Second Clinical Medical College of Lanzhou University, Lanzhou, China.
Ya GaoEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Ming LiuEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Shuzhen ShiEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Jiyuan ShiEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Kelu YangEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Zheng ZhouEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China.
Jinhui TianEvidence-Based Medicine Center, Lanzhou University, Lanzhou, China. tjh996@163.com.ORCID http://orcid.org/0000-0002-0054-2454

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mendelian randomization (MR) is attracting considerable critical attention. This paper aimed to explore the characteristics of the publications of MR, to reach an insight in this field and prospect the future trend. A bibliometric analysis was performed to identify published MR-related research. The articles were selected from the Web of Science Core Collection database. Excel 2019, VOSviewer 1.6.9, and CiteSpace 5.7.R3 were used to analyze the information. A total of 1783 papers of MR were identified, and the first included literature appeared in 2003. A total of 2829 institutions from 72 countries participated in the relevant research, while the UK contributed to 852 articles and were in a leading position. The most productive institution was the University of Bristol, and Smith GD who has posted the most articles (n=202) was also from there. The Int J Epidemiol (100 publications, 6861 citations) was the most prolific and high citation journal. Related topics of frontiers will still focus on coronary heart disease, diabetes, cancer, psychiatric disorder, body mass index, and lifestyle factors. We summarized the publication information of MR-related literature from 2003 to 2020, including country and institution of origin, authors, and publication journal. We analyzed former research hotspots in the field of MR and predicted future areas of interest. Exposures and outcomes detected in this paper will be the hotspots and frontiers of research in the next few years.

Indexed as

BibliometricsMendelian Randomization AnalysisCausalityDatabases, FactualEfficiencyHumansBibliometric analysisCitation analysisMendelian randomization analysisVisualization

Identifiers

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.