ArticleBMC pulmonary medicine2021
A nomogram for predicting postoperative pulmonary infection in esophageal cancer patients.
Article in BMC pulmonary medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.
- Risk prediction model for postoperative pneumonia in esophageal cancer patients: A systematic review.Frontiers in oncology · 2024Pooled it
- Development and internal validation of a prognostic model for esophageal cancer liver metastases using the Surveillance, Epidemiology, and End Results database.Journal of thoracic disease · 2026Article
- Incidence and Risk Factors for Postoperative Pulmonary Complications in Endoscopic Skull Base Surgery.Journal of neurological surgery. Part B, Skull base · 2026Article
- Multivariate integrated predictive model for 1-year mortality risk prognosis in patients undergoing esophageal cancer resection: establishment and validation.BMC surgery · 2026Article
- Risk Factors Analysis and Nomogram Prediction Model Construction for Pulmonary Infection After Laparoscopic Cholecystectomy.Infection and drug resistance · 2026Article
- Prediction of anastomotic leakage after esophagectomy for esophageal cancer: a nomogram study integrating systemic inflammation indices and clinical factors.Frontiers in oncology · 2026Article
- Risk factors for postoperative pulmonary complications in esophageal cancer: focus on inflammatory markers.Frontiers in oncology · 2026Article
- The risk analysis of unplanned tracheal intubation after radical esophagectomy.Scientific reports · 2025Article
- Pulmonary infection after esophageal cancer surgery: impact on the reality, risk factors and development of a predictive nomogram.World journal of surgical oncology · 2025Article
- Nomogram for predicting the development of pneumonia after colorectal cancer surgery.Scientific reports · 2025Article
- Nomogram as a novel predictive tool for postoperative pneumonia after endoscopic submucosal dissection for superficial esophageal carcinomas: a multicenter retrospective study.Surgical endoscopy · 2025Article
- A nomogram for postoperative pulmonary infections in esophageal cancer patients: a two-center retrospective clinical study.BMC surgery · 2025Article
- The CALLY Index as a Predictive Tool for Postoperative Pneumonia in Esophageal Squamous Cell Carcinoma: A Retrospective Cohort Study.Journal of inflammation research · 2025Article
- Utilizing machine learning approaches to investigate the relationship between cystatin C and serious complications in esophageal cancer patients after esophagectomy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Observational
- Perioperative Risk Factors for Postoperative Pulmonary Complications After Minimally Invasive Esophagectomy.International journal of general medicine · 2024Article
- Impact of pulmonary infection after radical esophagectomy on serum inflammatory markers, pulmonary function indices, and prognosis.Saudi medical journal · 2024Article
- Neutrophil extracellular traps in tumor progression of gynecologic cancers.Frontiers in immunology · 2024Review
- Article
- Nutrition management by a multidisciplinary team for prevention of nutritional deficits and morbidity following esophagectomy.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023Article
- Development and external validation of a nomogram for predicting postoperative pneumonia in aneurysmal subarachnoid hemorrhage.Frontiers in neurology · 2023Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAlthough postoperative pulmonary infection (POI) commonly occurs in patients with esophageal cancer after curative surgery, a patient-specific predictive model is still lacking. The main aim of this study is to construct and validate a nomogram for estimating the risk of POI by investigating how perioperative features contribute to POI.
methodsThis cohort study enrolled 637 patients with esophageal cancer. Perioperative information on participants was collected to develop and validate a nomogram for predicting postoperative pulmonary infection in esophageal cancer. Predictive accuracy, discriminatory capability, and clinical usefulness were evaluated by calibration curves, concordance index (C-index), and decision curve analysis (DCA).
resultsMultivariable logistic regression analysis indicated that length of stay, albumin, intraoperative bleeding, and perioperative blood transfusion were independent predictors of POI. The nomogram for assessing individual risk of POI indicated good predictive accuracy in the primary cohort (C-index, 0.802) and validation cohort (C-index, 0.763). Good consistency between predicted risk and observed actual risk was presented as the calibration curve. The nomogram for estimating POI of esophageal cancer had superior net benefit with a wide range of threshold probabilities (4-81%).
conclusionsThe present study provided a nomogram developed with perioperative features to assess the individual probability of infection may conducive to strengthen awareness of infection control and provide appropriate resources to manage patients at high risk following esophagectomy.
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