Measuring Patient-Reported Outcomes: Key Metrics in Reconstructive Surgery
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Satisfaction and improved quality of life are among the most important outcomes for patients undergoing plastic and reconstructive surgery for a variety of diseases and conditions. Patient-reported outcome measures (PROMs) are essential tools for evaluating the benefits of newly developed surgical techniques. Modern PROMs are being developed with new psychometric approaches, such as Rasch Measurement Theory, and their measurement properties (validity, reliability, responsiveness) are rigorously tested. These advances have resulted in the availability of PROMs that provide clinically meaningful data and effectively measure functional as well as psychosocial outcomes. This article guides the reader through the steps of creating a PROM and highlights the potential research and clinical uses of such instruments. Limitations of PROMs and anticipated future directions in this field are discussed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.008 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it