Evidence map›Paper›PMID 35128667›Full record

ArticleThe Journal of physiology2022

Development and characterisation of a rat model that exhibits both metabolic dysfunction and neurodegeneration seen in type 2 diabetes.

Katherine Southam, Chantal de Sousa, Abraham Daniel, Bruce V Taylor, Lisa Foa, Dino Premilovac

Open access · hybridAbstract read
In one paragraph

Article in The Journal of physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.7field-weighted citation impact, top 37% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Improving physiological monitoring and reporting standards in preclinical stroke research.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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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

6 authors at 1 institution in 1 country.

Katherine SouthamTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Chantal de SousaTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Abraham DanielTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.ORCID 0000-0002-3650-7837
Bruce V TaylorMenzies Institute for Medical Research, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Lisa FoaTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.
Dino PremilovacTasmanian School of Medicine, College of Health and Medicine, University of Tasmania, Hobart, TAS, Australia.ORCID 0000-0003-2770-4713
University of Tasmania · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate modelling type 2 diabetes and diabetic complications in rodents has proven a challenge, largely as a result of the long-time course of disease development in humans. In the present study, we aimed to develop and comprehensively characterise a new rodent model of type 2 diabetes. To do this, we fed Sprague-Dawley rats a high fat/high sugar diet (HFD) to induce obesity and dyslipidaemia. After 3 weeks, we s.c. implanted osmotic mini pumps to enable a 14 day, slow infusion of streptozotocin (STZ; lower dose = 100 mg kg

Indexed as

Diabetes Mellitus, ExperimentalDiabetes Mellitus, Type 2AnimalsInsulinRatsRats, Sprague-DawleyStreptozocinInsulinStreptozocinhigh fat dietinsulin resistanceobesityperipheral neuropathystreptozotocintype 2 diabetes

Identifiers

PMID35128667
PMCPMC9541365
OpenAlexW4210299898

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.