ArticleDiseases of the esophagus : official journal of the International Society for Diseases of the Esophagus2023
Predicting mortality in patients with anastomotic leak after esophagectomy: development of a prediction model using data from the TENTACLE-Esophagus study.
Article in Diseases of the esophagus : official journal of the International Society for Diseases of the Esophagus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Stapled vs. hand-sewn anastomosis during esophagectomy: a randomized trials systematic review and meta-analysis.Updates in surgery · 2026Pooled it
- Postoperative Septic Shock After Esophagectomy for Esophageal Cancer: Risk Factors and Impact on Short- and Long-Term Survival.Journal of personalized medicine · 2026Article
- Optimizing perioperative care in esophagectomy: a narrative review.Journal of thoracic disease · 2026Review
- Applications of artificial intelligence in postoperative surveillance and management of esophageal squamous cell carcinoma.Frontiers in artificial intelligence · 2026Review
- A novel stepwise and continuous high-volume irrigation drainage technique for managing cervical anastomotic leaks post-esophagectomy.Journal of thoracic disease · 2025Article
- Predictive factors for intrathoracic anastomotic leakage and postoperative mortality after esophageal cancer resection.BMC surgery · 2024Article
- A novel device to assess the oxygen saturation and congestion status of the gastric conduit in thoracic esophagectomy.BMC surgery · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Anastomotic leak (AL) is a common but severe complication after esophagectomy, and over 10% of patients with AL suffer mortality. Different prognostic factors in patients with AL are known, but a tool to predict mortality after AL is lacking. This study aimed to develop a prediction model for postoperative mortality in patients with AL after esophagectomy. TENTACLE-Esophagus is an international retrospective cohort study, which included 1509 patients with AL after esophagectomy. The primary outcome was 90-day postoperative mortality. Previously identified prognostic factors for mortality were selected as predictors: patient-related (e.g. comorbidity, performance status) and leak-related predictors (e.g. leucocyte count, overall gastric conduit condition). The prediction model was developed using multivariable logistic regression and validated internally using bootstrapping. Among the 1509 patients with AL, 90-day mortality was 11.7%. Sixteen predictors were included in the prediction model. The model showed good performance after internal validation: the c-index was 0.79 (95% confidence interval 0.75-0.83). Predictions for mortality by the internally validated model aligned well with observed 90-day mortality rates. The prediction model was incorporated in an online tool for individual use and can be found at: https://www.tentaclestudy.com/prediction-model. The developed prediction model combines patient-related and leak-related factors to accurately predict postoperative mortality in patients with AL after esophagectomy. The model is useful for clinicians during counselling of patients and their families and may aid identification of high-risk patients at diagnosis of AL. In the future, the tool may guide clinical decision-making; however, external validation of the tool is warranted.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.