Evidence map›Paper›PMID 40502630›Full record

ArticleFrontiers in oncology2025

Risk factors and bacterial spectrum postoperative infections after esophageal tumor surgery in patients aged ≥60 years.

Dan Li, Mingzhu Lin, Huawei Gu

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. 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

3 authors.

Dan LiHenan Medical Key Laboratory of Precise Prevention and Treatment of Esophageal Cancer, Anyang Tumor Hospital, The Affiliated Anyang Tumor Hospital of Henan University of Science and Technology, Anyang, China.
Mingzhu LinHenan Medical Key Laboratory of Precise Prevention and Treatment of Esophageal Cancer, Anyang Tumor Hospital, The Affiliated Anyang Tumor Hospital of Henan University of Science and Technology, Anyang, China.
Huawei GuHenan Medical Key Laboratory of Precise Prevention and Treatment of Esophageal Cancer, Anyang Tumor Hospital, The Affiliated Anyang Tumor Hospital of Henan University of Science and Technology, Anyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Patients undergoing esophageal tumor surgery (ETS) are at increased risk of postoperative infections (PI), particularly those aged ≥60 years. To improve perioperative safety and outcomes in this population, this study aimed to investigate the bacterial spectrum and identify risk factors associated with PI following ETS. Methods: A total of 747 patients who underwent radical esophagectomy between January and December 2021 were included in this retrospective analysis. Clinical data, including demographic characteristics, comorbidities, surgery-related variables, and laboratory indicators, were collected and analyzed. Results: Preoperative and intraoperative risk factors for PI were evaluated using univariate and multivariate logistic regression analyses. The overall incidence of PI was 29.6% (221/747). Smoking, prolonged surgical duration, and elevated postoperative blood glucose levels were identified as independent risk factors for postoperative infection. Conclusion: Elderly patients undergoing ETS are at considerable risk for PI, particularly those with modifiable risk factors such as smoking and hyperglycemia. Identification of high-risk individuals and implementation of targeted preventive strategies may reduce the incidence of postoperative infections and improve surgical outcomes.

Indexed as

esophageal tumoresophageal tumor surgery (ETS)patientspostoperative infections (PI)risk factors

Identifiers

PMID40502630
PMCPMC12151825

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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.