ArticleEuropean journal of medical research2025
A predictive nomogram for hemorrhage risk following endoscopic submucosal dissection of gastrointestinal tumors: a retrospective cohort study.
Article in European journal of medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 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
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo develop a nomogram-based risk prediction model utilizing patients' clinical characteristics for post-endoscopic submucosal dissection hemorrhage, and to evaluate its clinical utility.
methodsA total of 250 patients who developed postprocedural hemorrhage after endoscopic submucosal dissection (ESD) for gastrointestinal tumors at our institution (2022-2024) were enrolled. Enrichment criteria included at least one high-risk factor for complications (e.g., lesion size > 10 mm, antithrombotic medication use, or comorbid diabetes/hypertension) or early post-ESD symptoms suggestive of complications. Patients were randomly divided into a training set (n = 175) and a validation set (n = 75) at a 7:3 ratio. In the training set, multivariate logistic regression identified independent prognostic risk factors to construct the nomogram. Model performance was assessed via receiver operating characteristic (ROC) curves and calibration plots, with external validation performed in the validation set.
resultsHemorrhage occurred in 70/175 cases (40.00%) in the training set and 28/75 (37.33%) in the validation set, with no statistically significant intergroup differences in incidence or baseline characteristics (P > 0.05). Univariate analysis revealed significant disparities between hemorrhage and non-hemorrhage groups in age, hemoglobin, white blood cell count, platelet count, prothrombin time, activated partial thromboplastin time, and fibrinogen (P < 0.05). Multivariate analysis confirmed age, hemoglobin, white blood cell count, platelet count, prothrombin time, activated partial thromboplastin time, and fibrinogen were independent risk factors (P < 0.05). The nomogram demonstrated C-index were 0.861 and 0.841 (validation), and mean absolute errors were 0.151 and 0.171, respectively. AUC values were 0.849 (95% CI 0.778-0.920) and 0.824 (95% CI 0.707-0.941), indicating high predictive accuracy.
conclusionsThe clinical feature-based nomogram exhibits good predictive performance and reliability in both training and validation cohorts, serving as a valuable tool for prognostic evaluation in gastrointestinal tumor patients who experience post-ESD hemorrhage.
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.