Evidence map›Paper›PMID 26816657›Full record

ArticleJournal of gastric cancer2015

Nomogram Estimating the Probability of Intraabdominal Abscesses after Gastrectomy in Patients with Gastric Cancer.

Bang Wool Eom, Jungnam Joo, Young-Woo Kim, Boram Park, Hong Man Yoon, Keun Won Ryu, Soo Jin Kim

Open access · hybridAbstract read
In one paragraph

Article in Journal of gastric cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Current Trends in Gastric Cancer Surgery and Postoperative Care.The Korean journal of helicobacter and upper gastrointestinal research · 2025
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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

7 authors at 1 institution in 1 country.

Bang Wool EomGastric Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Jungnam JooBiometric Research Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Young-Woo KimGastric Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Boram ParkBiometric Research Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Hong Man YoonGastric Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Keun Won RyuGastric Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
Soo Jin KimGastric Cancer Branch, Research Institute and Hospital, National Cancer Center, Goyang, Korea.
National Cancer Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIntraabdominal abscess is one of the most common reasons for re-hospitalization after gastrectomy. This study aimed to develop a model for estimating the probability of intraabdominal abscesses that can be used during the postoperative period. MATERIALS AND

methodsWe retrospectively reviewed the clinicopathological data of 1,564 patients who underwent gastrectomy for gastric cancer between 2010 and 2012. Twenty-six related markers were analyzed, and multivariate logistic regression analysis was used to develop the probability estimation model for intraabdominal abscess. Internal validation using a bootstrap approach was employed to correct for bias, and the model was then validated using an independent dataset comprising of patients who underwent gastrectomy between January 2008 and March 2010. Discrimination and calibration abilities were checked in both datasets.

resultsThe incidence of intraabdominal abscess in the development set was 7.80% (122/1,564). The surgical approach, operating time, pathologic N classification, body temperature, white blood cell count, C-reactive protein level, glucose level, and change in the hemoglobin level were significant predictors of intraabdominal abscess in the multivariate analysis. The probability estimation model that was developed on the basis of these results showed good discrimination and calibration abilities (concordance index=0.828, Hosmer-Lemeshow chi-statistic P=0.274). Finally, we combined both datasets to produce a nomogram that estimates the probability of intraabdominal abscess.

conclusionsThis nomogram can be useful for identifying patients at a high risk of intraabdominal abscess. Patients at a high risk may benefit from further evaluation or treatment before discharge.

Indexed as

Abdominal abscessNomogramsPostoperative complicationsStomach neoplasms

Identifiers

PMID26816657
PMCPMC4723303
OpenAlexW2298760890

What OpenQuestion holds

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LicenceCC BY-NC
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.