ArticleJournal of orthopaedic surgery and research2023
A risk prediction model for postoperative recovery of closed calcaneal fracture: a retrospective study.
Article in Journal of orthopaedic surgery and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical application of robot-assisted fixation for calcaneal fractures: a meta-analysis with subgroup comparisons.Journal of robotic surgery · 2026Pooled it
- Medial wall/arthroscopy/posterior facet (MAP) strategy for displaced intra-articular calcaneal fractures: evaluation of a novel minimally invasive protocol in a retrospective comparative cohort.Journal of orthopaedic surgery and research · 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
Abstract
objectiveTo explore the risk factors for postoperative recovery of closed calcaneal fracture and develop a prediction model.
methodsWe retrospectively enrolled patients with closed calcaneal fracture from January 1, 2017 to December 31, 2020. Patients treated from 2017 to 2019 were selected as a training cohort and those in 2020 as a validation cohort. The outcome variable was the postoperative recovery evaluated by the Creighton-Nebraska calcaneal fracture scoring system. Multivariate logistic regression analysis was used to screen the risk factors of postoperative recovery. A risk prediction model was constructed in the training cohort and the corresponding nomogram was drawn. The model was validated internally using bootstrapping and externally by calculating the performance in the validation cohort.
resultsA total of 659 patients with closed calcaneal fracture met the inclusion and exclusion criteria, which were divided into the training cohort (n = 509) and the validation cohort (n = 150). 540 cases (81.9%) patients recovered well after calcaneal fracture surgery. According to multivariate logistic regression analysis, female (OR = 2.525, 95% CI 1.283-4.969), > 60 years (OR = 6.644, 95% CI 1.243-35.522), surgery within 8-14 days after fracture (OR = 2.172, 95% CI 1.259-3.745), postoperative infection (OR = 4.613, 95% CI 1.382-15.393), and weight-bearing time longer than 3 months after surgery (4-6 months, OR = 2.885, 95% CI 1.696-4.907; 7-12 months, OR = 3.030, 95% CI 1.212-7.578; > 12 months, OR = 15.589, 95% CI 3.244-74.912) were independent risk factors for postoperative recovery of calcaneal fractures. The C-indices were 0.750(95% CI 0.692-0.808) in the training cohort and 0.688(95% CI 0.571-0.804) in the external validation cohort, and the C-index of internal validation was 0.715. The Hosmer-Lemeshow test showed good fitting of the model (all P > 0.05), which was consistent with the results of the calibration plots. Decision Curve Analysis indicated that the clinical effectiveness was the best when the threshold probability was between 0.10 and 0.45.
conclusionsPatients with female, > 60 years, surgery within 8-14 days after fracture, postoperative infection, and weight-bearing time longer than 3 months after surgery are more likely to have poor postoperative recovery. The risk prediction of fracture patients through this model might be translated into clinical guidance and application. Trial registration This study was registered on the Chinese Clinical Trial Registry (Registration number: ChiCTR-EPR-15005878).
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.