Observational studyAnnals of medicine2025
A nomogram model for predicting risk factors and the outcome of skin ulcer.
Observational study in Annals of medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Association Between Willingness to Pay and Quality of Life in Acne Patients: A Cross-Sectional Study with a Nomogram for Individualized Prediction.ClinicoEconomics and outcomes research : CEOR · 2026Article
- The Value of the Preoperative Hematological Inflammatory Markers for Predicting Lymphovascular Invasion in Gastric Cancer.ImmunoTargets and therapy · 2026Article
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
backgroundWound healing is a complex process, and numerous factors affect the healing of skin ulcers.
objectivesIn order to identify the factors associated with wound healing, it is necessary to establish a visualized predictive model for evaluating the risk factors of patients with skin ulcers and to validate its effectiveness.
methodsA retrospective observational study was conducted on 453 patients with skin ulcers admitted to the Dermatology ward of the Army Medical Center (Daping Hospital) in Chongqing, China, from January 2011 to July 2022. The nomogram was formulated according to a multivariate logistic regression analysis identifying seven potential predictors of prognosis, including age, area, pre-admission course, etiology, diabetes, medical treatment, and self-medication. This nomogram model was validated by bootstrap internal validation (1000 replicated samplings).
resultsLogistic regression analysis showed that age, skin ulcer area, pre-admission course, etiology, comorbidity of diabetes, medical treatment, and self-medication were independently related to skin ulcer prognosis. These indicators were utilized to develop nomogram models. The predictive ability for skin ulcer prognosis was 0.814 based on the area under the curve values. The calibration curve showed a close match between the actual and predicted probabilities. Decision-making analysis demonstrated the clinical application value of this nomogram.
conclusionThe prediction nomogram developed in this study exhibits good accuracy in predicting the risk factors of skin ulcers and provides an objective tool for clinical staff to assess and target the risk factors concerning the prognosis of skin ulcers.
Indexed as
Identifiers
What Socratic 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 Socratic graph.