Symptom relapse following switch from Celexa to generic citalopram: an anxiety disorders case series
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
Generic agents do not require large clinical trials of safety and efficacy to enter the market, although they must demonstrate both pharmacological and bioequivalence to the brand name drug. Bioequivalence is attained when the extent of absorption of the generic falls within an FDA predefined range relative to the brand name drug. This potential variation in bioequivalence is not thought to be clinically meaningful, however, there are reports of a lack of therapeutic equivalence between some generic medications and the brand name. This study examines the potential risks posed by a switch from Celexa to generic citalopram. Twenty patients at an Anxiety Disorders Clinic who were unknowingly switched to generic citalopram, from Celexa (Lundbeck, Montreal, Quebec, Canada) and experienced a re-emergence of their anxiety symptoms or development of new adverse events are described in this case series report. The mean time for re-emergence of symptoms or development of adverse events was 3.4 +/- 1.6 weeks (range 0.5-8 weeks). All patients reestablished previous treatment response with a change back to Celexa in a mean time of 3.8 +/- 2.6 weeks (range 0.7-12 weeks). Given these results, it is important for clinicians to be aware of the potential for loss of treatment effect or symptom re-emergence posed by a switch to a generic agent. Randomized, double blind, controlled investigations would likely provide useful information as current bioequivalence and pharmacological equivalence do not necessarily translate into clinical equivalence.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| 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) | 0.001 | 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