Evidence map›Paper›PMID 37629362›Full record

ArticleJournal of clinical medicine2023

Proposal and Validation of New Diagnostic Criteria for Diagnostic Weights of Endoultrasonographic Findings for Early Chronic Pancreatitis.

Ken Kashima, Akira Yamamiya, Yoko Abe, Kazunori Nagashima, Takahito Minaguchi, Yasuhito Kunogi, Fumi Sakuma, Koh Fukushi, Yasunori Inaba, Takeshi Sugaya and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2023. 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
1.0field-weighted citation impact, top 24% 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, 3 citations in OpenAlex.

  1. Article
  2. Review
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

13 authors at 1 institution in 1 country.

Ken KashimaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Akira YamamiyaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.ORCID 0000-0002-5158-5606
Yoko AbeDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Kazunori NagashimaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Takahito MinaguchiDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Yasuhito KunogiDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Fumi SakumaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.ORCID 0000-0002-3574-2405
Koh FukushiDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.ORCID 0000-0002-1945-0795
Yasunori InabaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Takeshi SugayaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.
Keiichi TominagaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.ORCID 0000-0002-3716-3386
Kenichi GodaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.ORCID 0000-0002-0350-3151
Atsushi IrisawaDepartment of Gastroenterology, School of Medicine, Dokkyo Medical University, 880 Kitakobayashi, Mibu 321-0293, Tochigi, Japan.ORCID 0000-0002-2271-2717
Dokkyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Background and study aim] A commonly applied method for diagnosing chronic pancreatitis (CP) uses endoscopic ultrasonography (EUS), assigning weights to each EUS diagnostic finding. It is the Rosemont classification (RC). In 2019, to improve EUS diagnostic specificity, Japanese diagnostic criteria for early chronic pancreatitis (ECP) were revised. Nevertheless, the criteria use no weighting of EUS diagnostic findings, as the RC does. This study was undertaken to propose diagnostic criteria that would weight each EUS finding of ECP and that would be more specific than the RC. [Methods] By EUS of the pancreas, 773 patients underwent detailed observation from January 2018 to March 2019 at our institution. An expert finalized all cases when patients were diagnosed. Using data from the medical records, 97 consecutive patients with EUS diagnostic findings of ECP based on the Japanese diagnostic criteria of ECP2009 (JDCECP2009) were selected. The definition under the RC of "Indeterminate for CP" was equivalent to ECP. Each case was diagnosed using (1) JDCECP2009 and (2) the Japanese diagnostic criteria of ECP2019 (JDCECP2019). Moreover, the four diagnostic EUS findings in JDCECP2019 were applied to the RC, weighted (modified-JDCECP2019), and subsequently compared with the earlier diagnostic criteria. As Modified-JDCECP2019, we suggested (3) RC-A-the current four items scored related to the RC, and (4) RC-B-the five items scored by dividing lobularity with and without honeycombing. [Results] Diagnoses produced based on each criterion were normal: ECP = (1) 20:77, (2) 46:51, (3) 52:42, and (4) 60:35. [Conclusions] Modified-JDCECP2019 may provide EUS diagnoses for ECP with higher specificity.

Indexed as

diagnostic criterionearly chronic pancreatitisEUSRosemont criteria

Identifiers

PMID37629362
PMCPMC10455995
OpenAlexW4385878516

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.