The importance of patient-reported outcomes: a call for their comprehensive integration in cardiovascular clinical trials
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
Patient-reported outcomes (PROs), such as symptoms, health-related quality of life (HRQOL), or patient perceived health status, are reported directly by the patient and are powerful tools to inform patients, clinicians, and policy-makers about morbidity and 'patient suffering', especially in chronic diseases. Patient-reported outcomes provide information on the patient experience and can be the target of therapeutic intervention. Patient-reported outcomes can improve the quality of patient care by creating a holistic approach to clinical decision-making; however, PROs are not routinely used as key outcome measures in major cardiovascular clinical trials. Thus, limited information is available on the impact of cardiovascular therapeutics on PROs to guide patient-level clinical decision-making or policy-level decision-making. Cardiovascular clinical research should shift its focus to include PROs when evaluating the efficacy of therapeutic interventions, and PRO assessments should be scientifically rigorous. The European Society of Cardiology and other professional societies can take action to influence the uptake of PRO data in the research and clinical communities. This process of integrating PRO data into comprehensive efficacy evaluations will ultimately improve the quality of care for patients across the spectrum of cardiovascular disease.
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 | 0.028 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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