Evidence map›Paper›PMID 36097235›Full record

ArticleJapanese journal of radiology2023

Visual assessment of pancreatic fat deposition: useful grading system and the relation to BMI and diabetes.

Ryusuke Ookura, Noriaki Usuki

Open access · hybridAbstract read
In one paragraph

Article in Japanese journal of radiology, 2023. 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 30% 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, 6 citations in OpenAlex.

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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

2 authors at 1 institution in 1 country.

Ryusuke OokuraDepartment of Diagnostic and Interventional Radiology, Japan Community Healthcare Organization Osaka Hospital, 4-2-78, Fukushima, Fukushima-ku, Osaka, 553-0003, Japan. ryusuke@rose.plala.or.jp.ORCID http://orcid.org/0000-0002-6045-9193
Noriaki UsukiDepartment of Diagnostic and Interventional Radiology, Japan Community Healthcare Organization Osaka Hospital, 4-2-78, Fukushima, Fukushima-ku, Osaka, 553-0003, Japan.
Osaka Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish a simple and clinically useful method for the visual assessment of pancreatic fat deposition using computed tomography (CT) images, and to evaluate the relationship of the pancreatic fat deposition with body mass index (BMI) and type 2 diabetes mellitus (DM). MATERIALS AND

methodsWe used a four-scale grading system as the visual assessment criteria for pancreatic fat deposition using CT images. Pancreatic fat deposition was assessed for 200 patients and the results were compared with the CT attenuation-based assessment. In addition, the relationships of pancreatic fat deposition with BMI and type 2 DM were investigated.

resultsThe visual and CT attenuation-based assessments were considered consistent. The results of the visual assessment suggested that mild and moderate pancreatic fat deposition correlated with BMI and presence of type 2 DM while severe fat deposition did not correlate with them. No correlation between pancreatic fat deposition and HbA1c level was found.

conclusionThe visual assessment criteria we used were consistent with CT attenuation-based assessment and may be useful for clinical application of pancreatic fat deposition. According to the visually assessment, mild or moderate pancreatic fat deposition correlated with BMI and the presence of type 2 DM, but severe fat deposition did not correlate with them.

Indexed as

Diabetes Mellitus, Type 2Body Mass IndexHumansPancreasTomography, X-Ray ComputedDiabetes mellitusNon-alcoholic fatty pancreas diseaseObesityPancreatic diseasePancreatic steatosis

Identifiers

PMID36097235
PMCPMC9889527
OpenAlexW4295442695

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.