ArticlePlastic and reconstructive surgery. Global open2026
Use of Smartphone Activity Data to Monitor and Identify Trends in Recovery After Breast Reduction Surgery.
Article in Plastic and reconstructive surgery. Global 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
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Current methods for assessing outcomes after bilateral breast reduction (BBR) include traditional metrics (length of stay, morbidity, and mortality), and more recently, patient-reported outcome measures. These can be limited by subjectivity and poor granularity. Postoperative physical activity collected from patients' smartphones has since been validated as an objective measure of recovery. This study aims to investigate recovery after BBR using this novel outcome measure. Methods: A single-center, retrospective cohort analysis was conducted of patients who had undergone BBR surgery at Imperial College NHS Healthcare Trust from August 2021 to February 2024. A smartphone application was used to retrospectively gather physical activity data from patients covering 1 month preoperatively to 6 months postoperatively. Data were analyzed to provide the time taken to return to 90% of preoperative activity levels, as well as daily activity patterns. Results: Fifty-six patients undergoing breast reduction were recruited. Postoperative recovery data were used to plot novel recovery curves, whereby the average return to baseline activity was 33.5 days. The only patient or surgical factor found to be a predictor of recovery was the weight of tissue removed, correlating negatively with activity levels in the first 2 weeks ( Conclusions: Activity data from patients' smartphones enhance our ability to investigate postoperative recovery with unique detail. Integration of these data alongside traditional measures could help to better inform patients and clinicians regarding recovery, outcomes, and funding decisions in this cohort.
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.