Evidence map›Paper›PMID 34187388›Full record

ArticleBMC nephrology2021

Characteristics of diffusion-weighted and blood oxygen level-dependent magnetic resonance imaging in Tubulointerstitial nephritis: an initial experience.

Tao Su, Xuedong Yang, Rui Wang, Li Yang, Xiaoying Wang

Open access · goldAbstract read
In one paragraph

Article in BMC nephrology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Pathological Factors Affecting the R2* Values of the Kidney in Blood Oxygenation Level-dependent MR Imaging: A Retrospective Study.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024
    Article
  4. 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

5 authors at 2 institutions in 1 country.

Tao Su *Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China. tao.su@bjmu.edu.cn.ORCID 0000-0002-6857-8146
Xuedong Yang *Department of Radiology, Peking University First Hospital, Beijing, China.
Rui WangDepartment of Radiology, Peking University First Hospital, Beijing, China.
Li YangRenal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, China. li.yang@bjmu.edu.cn.
Xiaoying WangDepartment of Radiology, Peking University First Hospital, Beijing, China.
Peking University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiffusion-weighted (DW) and blood oxygen level-dependent (BOLD) magnetic resonance imaging are classical sequences of functional MR, but the exploration in non-transplanted kidney disease is limited. OBJECTS: To analyze the characteristics of apparent diffusion coefficient (ADC) and R

methodsFour acute TIN, thirteen chronic TIN patients, and four controls were enrolled. We used multiple gradient-echo sequences to acquire 12 T2*-weighted images to calculate the R

resultsIn ATIN, ADCs were significantly lower(b was 0,200 s/mm

conclusionsWe observed the reduction and remission of ADC and R

Indexed as

Diffusion Magnetic Resonance ImagingHumansIschemiaKidneyNephritis, InterstitialOxygenProspective StudiesOxygenAcute kidney injuryBlood oxygenation level-dependentChronic kidney diseaseDiffusion-weightedMagnetic resonance imagingTubulointerstitial nephritis

Identifiers

PMID34187388
PMCPMC8243503
OpenAlexW3103687614

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.