Evidence map›Paper›PMID 24026103›Full record

ArticleJournal of gastroenterology2014

Quantitative analysis of diagnosing pancreatic fibrosis using EUS-elastography (comparison with surgical specimens).

Yuya Itoh, Akihiro Itoh, Hiroki Kawashima, Eizaburo Ohno, Yosuke Nakamura, Takeshi Hiramatsu, Hiroyuki Sugimoto, Hajime Sumi, Daijuro Hayashi, Takamichi Kuwahara and 9 more

Abstract readComparative StudyEvaluation Study
PubMed Publisher
In one paragraph

Article in Journal of gastroenterology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

49 citing papers in PubMed, 104 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Endoscopic Ultrasound (EUS) Guided Elastography.Diagnostics (Basel, Switzerland) · 2023
    Review
  11. Review
  12. Review
  13. Article
  14. The expanding role of endoscopic ultrasound elastography.Clinical journal of gastroenterology · 2022
    Review
  15. Review
  16. Review
  17. Review
  18. Review
  19. Article
  20. 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

19 authors at 2 institutions in 1 country.

Yuya ItohDepartment of Gastroenterology and Hepatology, Nagoya University Graduate School of Medicine, 65 Tsuruma-Cho, Showa-Ku, Nagoya, 466-8550, Japan.
Akihiro Itoh
Hiroki Kawashima
Eizaburo Ohno
Yosuke Nakamura
Takeshi Hiramatsu
Hiroyuki Sugimoto
Hajime Sumi
Daijuro Hayashi
Takamichi Kuwahara
Tomomasa Morishima
Kohei Funasaka
Masanao Nakamura
Ryoji Miyahara
Naoki Ohmiya
Yoshiaki Katano
Masatoshi Ishigami
Hidemi Goto
Yoshiki Hirooka
Nagoya University · JPNagoya University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAn accurate diagnosis of pancreatic fibrosis is clinically important and may have potential for staging chronic pancreatitis. The aim of this study was to diagnose the grade of pancreatic fibrosis through a quantitative analysis of endoscopic ultrasound elastography (EUS-EG).

methodsFrom September 2004 to October 2010, 58 consecutive patients examined by EUS-EG for both pancreatic tumors and their upstream pancreas before pancreatectomy were enrolled. Preoperative EUS-EG images in the upstream pancreas were statistically quantified, and the results were retrospectively compared with postoperative histological fibrosis in the same area. For the quantification of EUS-EG images, 4 parameters (mean, standard deviation, skewness, and kurtosis) were calculated using novel software. Histological fibrosis was graded into 4 categories (normal, mild fibrosis, marked fibrosis, and severe fibrosis) according to a previously reported scoring system.

resultsThe fibrosis grade in the upstream pancreas was normal in 24 patients, mild fibrosis in 19, marked fibrosis in 6, and severe fibrosis in 9. Fibrosis grade was significantly correlated with all 4 quantification parameters (mean r = -0.75, standard deviation r = -0.54, skewness r = 0.69, kurtosis r = 0.67). According to the receiver operating characteristic analysis, the mean was the most useful parameter for diagnosing pancreatic fibrosis. Using the mean, the area under the ROC curves for the diagnosis of mild or higher-grade fibrosis, marked or higher-grade fibrosis and severe fibrosis were 0.90, 0.90, and 0.90, respectively.

conclusionsAn accurate diagnosis of pancreatic fibrosis may be possible by analyzing EUS-EG images.

Indexed as

AdultAgedElasticity Imaging TechniquesEndosonographyFemaleFibrosisHumansImage Interpretation, Computer-AssistedMaleMiddle AgedPancreasPancreatectomyPancreatic NeoplasmsPancreatitis, ChronicRetrospective StudiesSeverity of Illness Index

Identifiers

PMID24026103
OpenAlexW2046996136

What OpenQuestion holds

Textmetadata
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.