Evidence map›Paper›PMID 41220500›Full record

ArticleJMA journal2025

Predictive Impact of Peritoneal Computed Tomography Attenuation Values for the Severity of Upper Gastrointestinal Perforation.

Hironori Tsujimoto, Risa Kariya, Seiichiro Fujishima, Takafumi Suzuki, Naoyuki Uehata, Yoshihisa Yaguchi, Keita Kouzu, Hiroshi Shinmoto, Hideki Ueno

Abstract read
In one paragraph

Article in JMA journal, 2025. 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

9 authors.

Hironori TsujimotoDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Risa KariyaDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Seiichiro FujishimaDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Takafumi SuzukiDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Naoyuki UehataDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Yoshihisa YaguchiDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Keita KouzuDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.
Hiroshi ShinmotoDepartment of Radiology, National Defense Medical College, Namiki, Tokorozawa, Japan.
Hideki UenoDepartment of Surgery, National Defense Medical College, Namiki, Tokorozawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to evaluate the peritoneal computed tomography (CT) attenuation values and investigate their predictive impact for the severity of peritonitis in patients with upper gastrointestinal tract (UGI) perforations. Methods: Overall, 112 consecutive patients with UGI perforations who underwent plain CT were included in this study. Peritoneal CT attenuation values expressed in Hounsfield units (HUs) were measured on a workstation and investigated in relation to laboratory data obtained on admission, severity of illness, and hospital mortality. Results: Peritoneal CT attenuation values were significantly negatively correlated with the Acute Physiology and Chronic Health Evaluation II (p < 0.01, R Conclusions: Evaluation of peritoneal CT attenuation values in patients with UGI perforation is simple and can be used to objectively assess the severity of peritonitis, which can serve as a reference for treatment strategies.

Indexed as

multidetector CTsepsisseverity of the illnessseverity scoring systemupper gastrointestinal perforation

Identifiers

PMID41220500
PMCPMC12598265

What OpenQuestion 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 OpenQuestion graph.