Evidence map›Paper›PMID 32818031›Full record

ArticleTobacco induced diseases2020

Electronic cigarette exposure on insulin sensitivity of ApoE gene knockout mice.

Kai Lan, Guangwei Zhang, Lijuan Liu, Ziwei Guo, Xianyu Luo, Hua Guan, Qi Yu, Enqi Liu

Open access · goldAbstract read
In one paragraph

Article in Tobacco induced diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 10 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

8 authors at 1 institution in 1 country.

Kai LanDepartment of Clinical Medicine, Xi'an Medical University, Xi'an, China.
Guangwei ZhangDepartment of Basic Medical Science, Xi'an Medical University, Xi'an, China.
Lijuan LiuSchool of Public Health, Xi'an Medical University, Xi'an, China.
Ziwei GuoSchool of Public Health, Xi'an Medical University, Xi'an, China.
Xianyu LuoSchool of Public Health, Xi'an Medical University, Xi'an, China.
Hua GuanInstitute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, China.
Qi YuInstitute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, China.
Enqi LiuInstitute of Basic and Translational Medicine, Xi'an Medical University, Xi'an, China.
Xi'an Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe current study aimed to investigate the effects of electronic cigarettes on insulin sensibility in ApoE gene knockout mice.

methodsIn total, 48 male ApoE gene knockout mice were randomly divided into four exposure groups: 1) electronic cigarette (e-cigarette) containing 12 mg/mL of nicotine, 2) e-cigarette without nicotine (0mg), 3) traditional cigarette (cigarette), and 4) fresh air (control). The first three groups were exposed to the associated smoke for 18 weeks. The body weight was recorded regularly in the four groups. After the last exposure, the concentrations of lipids, hs-CRP and TNF-α in serum were detected and the effect of electronic cigarettes on insulin tolerance was measured.

resultsThe levels of serum lipid, hs-CRP and TNF-α in the e-cigarette, 0mg and cigarette groups were significantly increased compared with those in the control group (p<0.05). Also, the insulin tolerance in the e-cigarette, 0mg and cigarette groups was significantly decreased compared to that in the control group (p<0.05).

conclusionsElectronic cigarettes showed comparable effects to traditional cigarettes in influencing the metabolic functions in ApoE gene knockout mice.

Indexed as

diabeteselectronic cigaretteinflammatory injuryinsulin sensibilitysmoke exposure

Identifiers

PMID32818031
PMCPMC7425754
OpenAlexW3048072528

What OpenQuestion holds

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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.