Systematic review: impact of non‐adherence to 5‐aminosalicylic acid products on the frequency and cost of ulcerative colitis flares
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
BACKGROUND: Ulcerative colitis (UC) can be maintained in remission with 5-aminosalicylic acid (5-ASA) medications, but frequent non-adherence by patients who are feeling well has been associated with more frequent flares of colitis. AIM: To perform a systematic review of the published literature and unpublished randomized clinical trials (RCTs) regarding the impact of non-adherence with 5-ASA medications on the incidence of UC flares and costs of care. METHODS: A search of MEDLINE, EMBASE and the Cochrane databases was performed. Prospective studies of UC maintenance with 5-ASAs in adults were selected if they included data on adherence and disease flares. Studies using insurance claims data to estimate the impact of non-adherence on cost of care were included. Data from unpublished RCTs were obtained from the FDA with a request under the Freedom of Information Act. RESULTS: The relative risk for flare in non-adherent vs. adherent patients ranged from 3.65 to infinity. Data were obtained from six unpublished 5-ASA RCTs, but none measured the impact of adherence on disease activity. The comorbidity-adjusted annual costs of care in adherent patients were 12.5% less than in non-adherent patients, despite increased medication expenditures. CONCLUSIONS: A substantial proportion of UC flares and medical costs of UC are attributable to 5-ASA non-adherence. As non-adherence to 5-ASA medications is common, cost-effective strategies to improve adherence are needed. The impact of adherence on disease activity should be measured in RCTs of all inflammatory bowel disease treatments.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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