Evidence map›Paper›PMID 27834039›Full record

ArticleEndocrine2017

No causal impact of serum vascular endothelial growth factor level on temporal changes in body mass index in Japanese male workers: a five-year longitudinal study.

Takuya Imatoh, Seiichiro Kamimura, Motonobu Miyazaki

Abstract read
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In one paragraph

Article in Endocrine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 85% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 1 country.

Takuya ImatohDepartment of Preventive Medicine and Public Health, Faculty of Medicine, Fukuoka University, Fukuoka, Japan. imatoh@nihs.go.jp.ORCID http://orcid.org/0000-0002-8160-7335
Seiichiro KamimuraDepartment of Internal Medicine, Division of Preventive Medicine, Tenjin Clinic, Fukuoka, Japan.
Motonobu MiyazakiSaitama City Institute of Health Science and Research, Saitama, Japan.
Fukuoka University · JPNishijin Hospital · JPSaitama Prefecture · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIt has been reported that adipocytes secrete vascular endothelial growth factor. Therefore, we conducted a 5-year longitudinal epidemiological study to further elucidate the association between vascular endothelial growth factor levels and temporal changes in body mass index.

methodsOur study subjects were Japanese male workers, who had regular health check-ups. Vascular endothelial growth factor levels were measured at baseline. To examine the association between vascular endothelial growth factor levels and overweight, we calculated the odds ratio using a multivariate logistic regression model. Moreover, linear mixed effect models were used to assess the association between vascular endothelial growth factor level and temporal changes in body mass index during the 5-year follow-up period.

resultsVascular endothelial growth factor levels were marginally higher in subjects with a body mass index greater than 25 kg/m

conclusionsOur results suggested that high vascular endothelial growth factor levels were significantly associated with overweight in Japanese males but high vascular endothelial growth factor levels did not necessarily cause obesity.

Indexed as

Body Mass IndexAdultBody WeightHealth SurveysHumansJapanLongitudinal StudiesMaleMiddle AgedOverweightVascular Endothelial Growth Factor AVascular Endothelial Growth Factor AEpidemiological studyLongitudinal studyObesityVascular endothelial growth factor

Identifiers

PMID27834039
OpenAlexW2549722032

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Registered trials

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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.