Evidence map›Paper›PMID 39438336›Full record

ArticleSurgery today2025

Scoring model for the diagnosis of colorectal perforation and its differentiation from gastroduodenal perforation.

Toshimichi Kobayashi, Eiji Hidaka, Itsuki Koganezawa, Masashi Nakagawa, Kei Yokozuka, Shigeto Ochiai, Takahiro Gunji, Toru Sano, Yuji Kikuchi, Koichi Tomita and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Surgery today, 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

14 authors.

Toshimichi KobayashiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan. my.song.t.k@gmail.com.
Eiji HidakaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Itsuki KoganezawaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Masashi NakagawaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Kei YokozukaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Shigeto OchiaiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Takahiro GunjiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Toru SanoDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Yuji KikuchiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Koichi TomitaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Masatoshi ShigokaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Satoshi TabuchiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Naokazu ChibaDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.
Shigeyuki KawachiDepartment of Digestive and Transplantation Surgery, Tokyo Medical University Hachioji Medical Center, 1163 Tatemachi Hachioji, Tokyo, 193-0998, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDistinguishing colorectal from gastroduodenal perforations is clinically important and challenging. We aimed to establish a scoring model based on objective findings (excluding computed tomography findings) for the diagnosis of colorectal perforation and its differentiation from gastroduodenal perforation.

methodsPatients diagnosed with colorectal or gastroduodenal perforations between January 2014 and December 2021 were retrospectively studied. Univariate and multivariate analyses were performed to identify independent variables, and a scoring model was developed based on these variables.

resultsAmong 131 eligible patients, 64 (48.9%) were in the colorectal group and 67 (51.1%) were in the gastroduodenal group. White blood cell count, C-reactive protein, and quick Sequential Organ Failure Assessment score were identified as independent clinical variables associated with the diagnosis of colorectal perforation, which differentiated colorectal perforation from gastroduodenal perforation, and were used to develop a new scoring model. The scores ranged from 0 to 5, with an area under the receiver operating characteristic curve of 0.846. The probabilities of colorectal perforation with scores of 0, 1.5, 2, 3, 3.5, and 5 were 3.2, 20, 55.6, 81.8, 73.9, and 82.4%, respectively.

conclusionThe new scoring model may help in treatment selection and perioperative management of patients with gastrointestinal perforation.

Indexed as

Duodenal DiseasesIntestinal PerforationAdultAgedAged, 80 and overC-Reactive ProteinDiagnosis, DifferentialFemaleHumansLeukocyte CountMaleMiddle AgedRetrospective StudiesROC CurveC-Reactive ProteinAbdominal emergencyColorectal perforationGastrointestinal perforationQuick SOFA scoreScoring model

Identifiers

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.