Evidence map›Paper›PMID 31787698›Full record

ArticleInternal medicine (Tokyo, Japan)2020

Clinical Utility of Diffusion-weighted Whole-body Magnetic Resonance Imaging with Background Body Signal Suppression for Assessing and Monitoring IgG4-related Disease.

Akira Oshita, Yusuke Kono, Toru Miyoshi, Moeko Suzuki, Takuro Kazatani, Hiroshi Matsuoka, Hideo Kawakami

Open access · diamondAbstract readCase Reports
In one paragraph

Article in Internal medicine (Tokyo, Japan), 2020. 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 34% 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, 5 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

7 authors at 1 institution in 1 country.

Akira OshitaDepartment of Cardiology, Ehime Prefectural Imabari Hospital, Japan.
Yusuke KonoDepartment of Cardiology, Ehime Prefectural Imabari Hospital, Japan.
Toru MiyoshiDepartment of Cardiology, Ehime Prefectural Imabari Hospital, Japan.
Moeko SuzukiDepartment of Cardiology, Ehime Prefectural Imabari Hospital, Japan.
Takuro KazataniDepartment of Cardiology, Ehime Prefectural Imabari Hospital, Japan.
Hiroshi MatsuokaDepartment of General Medicine, Ehime Prefectural Central Hospital, Japan.
Hideo KawakamiDepartment of Cardiology, Ehime Prefectural Imabari Hospital, Japan.
Ehime Prefectural Central Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A 77-year-old man with symptoms of chest pain was diagnosed with immunoglobulin G4 (IgG4)-related disease. Fluorodeoxyglucose positron emission tomography/computed tomography (FDG-PET/CT) revealed an intense uptake in the submandibular gland, lymph nodes and abdominal aortic wall. Diffusion-weighted imaging with background body signal suppression (DWIBS) revealed signal enhancements at the same location as those of the FDG-PET/CT findings. The DWIBS signal intensity decreased after steroid treatment, so we decreased the steroid dosage. Relapse did not occur. DWIBS makes it possible to adjust the medicine dosage while confirming the therapeutic effects and will likely be a useful method for monitoring IgG4-related disease.

Indexed as

AgedAnti-Inflammatory AgentsDiffusion Magnetic Resonance ImagingHumansImmunoglobulin G4-Related DiseaseMagnetic Resonance ImagingMaleMultimodal ImagingPositron Emission Tomography Computed TomographyPrednisoloneTomography, Spiral ComputedTreatment OutcomeWhole Body ImagingAnti-Inflammatory AgentsPrednisoloneDWIBSIgG4-related diseaseMRI

Identifiers

PMID31787698
PMCPMC7184072
OpenAlexW2991591339

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.