Evidence map›Paper›PMID 42279269›Full record

ArticleCancers2026

Appearance of Pancreas Predictive of Cancer Presence: Utility of Computed Tomography Volumetry.

Yuki Kawaji, Kentaro Yamao, Reiko Ashida, Mamoru Takenaka, Shunsuke Omoto, Ke Wan, Tomokazu Ishihara, Yuto Sugihara, Hiromu Morishita, Akiya Nakahata and 5 more

Abstract read
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In one paragraph

Article in Cancers, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Yuki KawajiSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Kentaro YamaoDepartment of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, 377-2, Sayama 589-8511, Osaka, Japan.
Reiko AshidaSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Mamoru TakenakaDepartment of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, 377-2, Sayama 589-8511, Osaka, Japan.ORCID 0000-0001-7308-4311
Shunsuke OmotoDepartment of Gastroenterology and Hepatology, Faculty of Medicine, Kindai University, 377-2, Sayama 589-8511, Osaka, Japan.
Ke WanClinical Study Support Center, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.ORCID 0000-0002-1563-7181
Tomokazu IshiharaSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Yuto SugiharaSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Hiromu MorishitaSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Akiya NakahataSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.ORCID 0009-0007-1812-2726
Takahiro ShishimotoSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Takashi TamuraSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.ORCID 0000-0002-5611-2509
Yasunobu YamashitaSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.ORCID 0000-0002-6725-5708
Masahiro ItonagaSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.
Masayuki KitanoSecond Department of Internal Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama 641-0012, Wakayama, Japan.ORCID 0000-0001-6885-9223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesPancreatic cancer (PC) should be diagnosed in its early stages. Therefore, it is necessary to identify high-risk individuals of PC.

methodsBetween 2001 and 2017, 1542 PC cases were diagnosed at two tertial care institutions. Of these, 117 cases had undergone abdominal contrast-enhanced computed tomography (CE-CT) 1-10 years before PC diagnosis and were classified as the PC group. Meanwhile, 43,102 cases underwent abdominal CE-CT for close examination of non-pancreatic diseases in the same period, of which 1170 were randomly selected. Of these, 117 cases were matched to the PC group with the propensity score and designated the non-PC group. Pancreatic volumetry was performed using the 3D image analysis system for abdominal CE-CT in both groups and various measurements were compared. In PC group, CE-CT taken 1-10 years before the onset of PC was analyzed.

resultsAfter propensity score matching, baseline characteristics did not significantly differ between the two groups. The whole pancreatic volume/body surface area (BSA) (

conclusionsPancreatic volumetry could identify patients at high risk of PC.

Indexed as

atrophyhigh risk individualspancreatic cancerpancreatic volumevolumetry

Identifiers

PMID42279269
PMCPMC13256071

What Socratic 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 Socratic graph.