Evidence map›Paper›PMID 28442647›Full record

ArticleThe Journal of veterinary medical science2017

Effects of high-fat diet and fructose-rich diet on obesity, dyslipidemia and hyperglycemia in the WBN/Kob-Lepr

Junichi Namekawa, Yoshiichi Takagi, Kaoru Wakabayashi, Yuki Nakamura, Ayaka Watanabe, Dai Nagakubo, Mitsuyuki Shirai, Fumitoshi Asai

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 41 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.

Junichi NamekawaLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Yoshiichi TakagiLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Kaoru WakabayashiLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Yuki NakamuraLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Ayaka WatanabeLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Dai NagakuboLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Mitsuyuki ShiraiLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Fumitoshi AsaiLaboratory of Veterinary Pharmacology, School of Veterinary Medicine, Azabu University, Sagamihara, Kanagawa 252-5201, Japan.
Azabu University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity and type 2 diabetes mellitus (T2DM) are occurring at epidemic-like rates, and these epidemics appear to have emerged largely from changes in daily diet. In the present study, we compared effects of high-fat diet (HFD) and fructose-rich diet (FRD) in WBN/Kob-Lepr

Indexed as

AnimalsBlood GlucoseDiabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2Diet, High-FatDisease Models, AnimalDyslipidemiasFructoseHyperglycemiaMaleObesityRatsRats, WistarBlood GlucoseFructosediet-induced obesityfructose-rich diethigh-fat diettype 2 diabetesWBN/Kob-Leprfa rat

Identifiers

PMID28442647
PMCPMC5487803
OpenAlexW2606695739

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.