Evidence map›Paper›PMID 32903690›Full record

ArticleFrontiers in genetics2020

Lifetime Smoking and Asthma: A Mendelian Randomization Study.

Ming Shen, Xin Liu, Guoqi Li, Zhun Li, Hongyu Zhou

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Multiple Tobacco Product Use among Adolescents with Asthma in Korea.International journal of environmental research and public health · 2022
    Article
  5. Asthma and Tobacco Smoking.Journal of personalized medicine · 2022
    Review
  6. 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

5 authors.

Ming ShenRespiratory Hospital of Angang General Hospital, Anshan, China.
Xin LiuRespiratory Hospital of Angang General Hospital, Anshan, China.
Guoqi LiRespiratory Hospital of Angang General Hospital, Anshan, China.
Zhun LiRespiratory Hospital of Angang General Hospital, Anshan, China.
Hongyu ZhouRespiratory Hospital of Angang General Hospital, Anshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence from clinical and epidemiological studies indicates that asthma is associated with allergic diseases including hay fever, allergic rhinitis, and eczema. Genetic analysis demonstrated that asthma had a positive genetic correlation with allergic diseases. A Mendelian randomization (MR) analysis using the rs16969968 single-nucleotide variant as the instrumental variable indicated that smoking was associated with increased risk of asthma. However, in a different MR analysis, smoking was significantly associated with reduced hay fever and reduced allergic sensitization risk. These findings revealed inconsistencies in the association of smoking with asthma and allergic diseases. Hence, we conducted an updated MR analysis to investigate the causal association between lifetime smoking and asthma risk by using 124 genetic variants as the instrumental variables. No significant pleiotropy was detected using the MR-Egger intercept test. We found that increased lifetime smoking was significantly associated with decreased asthma risk by using the inverse variance weighted (IVW) method (OR = 0.97, 95% CI 0.956-0.986, and

Indexed as

allergic diseasesasthmagenome-wide association studyinverse-variance weighted meta-analysisMendelian randomization

Identifiers

PMID32903690
PMCPMC7438748
OpenAlexW3047207998

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.