ArticleJPRAS open2026
Risk prediction of 90-day complications in implant-based breast reconstruction -does previous post-bariatric massive weight loss add to the risk? A population-based study.
Article in JPRAS open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
Introduction: Risk stratification is essential when selecting the timing and technique of breast reconstruction. While several prediction models exist, none have incorporated prior massive weight loss (MWL), despite a growing population of such patients. This study aimed to develop cumulative risk prediction models for complications after implant-based breast reconstruction, explicitly including MWL as a candidate predictor. Methods: This nationwide, population-based case-control study used prospectively collected Swedish registry data. Patients with prior bariatric surgery who underwent immediate or delayed post-mastectomy implant-based breast reconstruction between 2007 and 2022 were identified and matched to at least 3 controls by age and body mass index. Candidate predictors were selected based on prior literature. Group least absolute shrinkage and selection operator (LASSO) regression with bootstrap resampling was used to develop prediction models, which were visualized as nomograms. Results: A total of 245 immediate and 602 delayed breast reconstructions were included; 11% and 6%, respectively, had a history of MWL. Complication rates were 16.3% for immediate and 14.5% for delayed reconstruction. Prior MWL was consistently selected as an independent predictor of complications in both immediate and delayed reconstruction models and of re-admission after delayed reconstruction. Other predictors included age, body mass index, radiotherapy, comorbidity-related medications, and antibiotic use. Conclusion: Prior massive weight loss following bariatric surgery is an independent risk factor for complications after both immediate and delayed implant-based breast reconstruction. Incorporating MWL into cumulative risk prediction models improves individualized risk assessment and supports informed, shared decision-making in reconstructive breast surgery.
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.