ArticlePlastic and reconstructive surgery. Global open2022
An Ounce of Prediction is Worth a Pound of Cure: Risk Calculators in Breast Reconstruction.
Article in Plastic and reconstructive surgery. Global open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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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
4 citing papers in PubMed.
- AI Risk Prediction Tools for Autologous Breast Reconstruction.Journal of surgical oncology · 2026Article
- Prediction models of adverse outcomes following surgery and radiotherapy for breast cancer: a systematic review.ESMO real world data and digital oncology · 2026Review
- Predicting Breast Reconstruction Readmission, Reoperation, and Prolonged Length of Stay: A Machine Learning Approach.Journal of surgical oncology · 2025Article
- Postoperative Complications Following Prepectoral Versus Partial Subpectoral Implant-Based Breast Reconstruction Using ADM: A Systematic Review and Meta-analysis.Aesthetic plastic 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Preoperative risk calculators provide individualized risk assessment and stratification for surgical patients. Recently, several general surgery-derived models have been applied to the plastic surgery patient population, and several plastic surgery-specific calculators have been developed. In this scoping review, the authors aimed to identify and critically appraise risk calculators implemented in postmastectomy breast reconstruction. Methods: A systematic review of the literature was conducted. Included studies described the development of a novel risk calculator, or validation of an existing calculator, in postmastectomy breast reconstruction. Results: In total, 4641 studies met criteria for title and abstract screening. Forty-seven were eligible for full-text review, and 28 met final inclusion criteria. The most common risk calculators included the Breast Reconstruction Risk Assessment score (n = 6 studies), modified frailty index (n = 3), Caprini score (n = 3), and ACS NSQIP calculator (n = 2). Calculators were applied to institutional data (n = 17), NSQIP (n = 6), and Tracking Outcomes in Plastic Surgery (n = 1) databases. Predicted outcomes included general postoperative complications (n = 17), venous thromboembolism/pulmonary embolism (n = 4), infection (n = 2), and patient reported outcomes (n = 2). Model accuracy was reported in 18 studies, and it varied significantly (accurate risk calculator 0.49-0.85). Conclusions: This is the first study to provide a systematic review of available risk calculators for breast reconstruction. Models vary significantly in their statistical basis, predicted outcomes, and overall accuracy. Risk calculators are valuable tools that may aid in individualized risk assessments, preoperative counseling, and expectation management in breast reconstruction.
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.