Evidence map›Paper›PMID 33431722›Full record

ArticleThe Journal of veterinary medical science2021

Positive correlation between renal tubular flattening and renal tubular injury/interstitial fibrosis in murine kidney disease models.

Yuki Takahashi, Masaki Watanabe, Koki Hiura, Ai Isobe, Hayato Sasaki, Nobuya Sasaki

Open access · diamondAbstract read
In one paragraph

Article in The Journal of veterinary medical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

6 authors at 1 institution in 1 country.

Yuki TakahashiLaboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Towada, Aomori 034-8628, Japan.
Masaki WatanabeLaboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Towada, Aomori 034-8628, Japan.
Koki HiuraLaboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Towada, Aomori 034-8628, Japan.
Ai IsobeLaboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Towada, Aomori 034-8628, Japan.
Hayato SasakiLaboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Towada, Aomori 034-8628, Japan.
Nobuya SasakiLaboratory of Laboratory Animal Science and Medicine, School of Veterinary Medicine, Kitasato University, Towada, Aomori 034-8628, Japan.
Kitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The number of patients with chronic kidney disease (CKD) is growing continuously globally. In order to study pathogenesis and mechanisms, many animal models have been developed, including spontaneous, genetic, and induced models. Although each type of CKD shows disease-specific tissue changes in the early stages, tubular disorder and interstitial fibrosis histologically occur in the course of progression to end-stage renal failure. Therefore, the quantification of tubular disorder and interstitial fibrosis in CKD research using animal models is essential for measuring the degree of CKD severity and, thus, efficacy of therapeutic agents. Several strategies have been used to quantify interstitial fibrosis. Among scoring factors, renal tubular flattening can be quantitatively evaluated easily and inexpensively. However, the diagnostic value of renal tubular flattening evaluation has not been investigated previously. Therefore, in this study, we investigated the correlation between renal tubular flattening and interstitial fibrosis or renal tubular injury markers. We observed a strong correlation between the degree of tubular injury/interstitial fibrosis and renal tubular flattening in three types of mouse renal disease model. This is advantageous because rapidly advancing technologies such as artificial intelligence and image processing can be easily applied; hence, a more precise, objective, and quantitative diagnosis should be possible in the future.

Indexed as

Renal Insufficiency, ChronicAnimalsArtificial IntelligenceDisease Models, AnimalFibrosisKidneyKidney TubulesMiceinterstitial fibrosismurine kidney disease modelsrenal tubular flatteningrenal tubular injury

Identifiers

PMID33431722
PMCPMC8025427
OpenAlexW3119511732

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.