Evidence map›Paper›PMID 40094022›Full record

ArticleFrontiers in oncology2025

A dynamic nomogram predicting nosocomial infections in patients after colon cancer surgery.

Xue Yao, Shuhui Wang, Anning Lu, Yun Xu, Na Li

Abstract read
In one paragraph

Article in Frontiers in oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xue YaoDepartment of Joint Surgery, Weifang People's Hospital, Weifang, Shandong, China.
Shuhui WangDepartment of Infection Prevention and Control, Qilu Hospital of Shandong University, Jinan, Shandong, China.
Anning LuSchool of Nursing, Shandong Second Medical University, Weifang, Shandong, China.
Yun XuDepartment of Joint Surgery, Weifang People's Hospital, Weifang, Shandong, China.
Na LiDepartment of Joint Surgery, Weifang People's Hospital, Weifang, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Nosocomial infections are one of the severe postoperative complications that compromise perioperative safety in patients with colon cancer. However, there are limited studies on constructing visual risk prediction screening tools for nosocomial infections in these patients. The objective of this study is to construct a nomogram for predicting the risk of nosocomial infections among patients after colon cancer surgery. Methods: Total 1146 patients after colon cancer surgery were selected and divided into a training set and a validation set. After identifying the most significant predictors through LASSO regression and logistic regression, the model was presented as static and dynamic nomogram. AUC was used to evaluate the discrimination of model. Calibration was evaluated by means of calibration curves. Decision and impact curves were applied to evaluate the clinical validity. Results: 110 patients (9.60%) suffered nosocomial infections following colon cancer surgery. Peak temperature on the second postoperative day, Braden score on the first postoperative day, duration of retention of abdominal drains, ASA class, surgical type and postoperative complications were correlated with nosocomial infections. The nomogram composed of these predictors demonstrated good discrimination, calibration and clinical benefit in both the training and validation sets. Conclusion: Risk predictors are important breakthroughs for healthcare workers in nosocomial infections prevention and control initiatives. The dynamic nomogram built in this study may be helpful for healthcare personnel to identify the risk of nosocomial infections among patients after colon cancer surgery.

Indexed as

colon cancermodelnomogramnosocomial infectionsprediction

Identifiers

PMID40094022
PMCPMC11907002

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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.