Evidence map›Paper›PMID 36210998›Full record

ArticleComputational intelligence and neuroscience2022

Alterations of Renal Function in Patients with Diabetic Kidney Disease: A BOLD and DTI Study.

Xiaobao Wei, Runyue Hu, Xiaoli Zhou, Lihua Ni, Dongqing Zha, Huiling Feng, Haibo Xu, Xiaoyan Wu

Open access · hybridAbstract read
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
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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.

Xiaobao WeiDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0002-9150-6204
Runyue HuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Xiaoli ZhouDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Lihua NiDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Dongqing ZhaDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Huiling FengDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.
Haibo XuDepartment of Radiology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0002-8451-8979
Xiaoyan WuDepartment of Nephrology, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China.ORCID https://orcid.org/0000-0001-5769-0709
Wuhan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Our study aims to determine the patterns of renal oxygenation changes and microstructural changes by BOLD and DTI with deteriorating kidney function in patients with diabetic kidney disease (DKD). Methods: Seventy-two patients with type 2 diabetes mellitus (DM) and twenty healthy controls (HCs) underwent laboratory examinations, and renal BOLD and DTI images were obtained on a 3T-MRI machine. Results: Compared with Group-HC/DI, medullary Conclusions: With renal function declining, BOLD and DTI could capture alterations including the first rising and then falling medullary

Indexed as

Diabetes Mellitus, Type 2Diabetic NephropathiesAlbuminsCreatinineCystatin CDiffusion Tensor ImagingHumansKidneyMagnetic Resonance ImagingAlbuminsCreatinineCystatin C

Identifiers

PMID36210998
PMCPMC9546653
OpenAlexW4298124467

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.