A systematic review of the print media representation of ketamine treatments for psychiatric disorders
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 Public and patient expectations of treatment influence health behaviours and decision-making. Aims We aimed to understand how the media has portrayed the therapeutic use of ketamine in psychiatry. Method We systematically searched electronic databases for print and online news articles about ketamine for psychiatric disorders. The top ten UK, USA, Canadian and Australian newspapers by circulation and any trade and consumer magazines indexed in the databases were searched from 2015 to 2020. Article content was quantitatively coded with a framework encompassing treatment indication, descriptions of prior use, references to research, benefits and harms, treatment access and process, patient and professional testimony, tone and factual basis. Results We found 119 articles, peaking in March 2019 when the United States Food and Drug Administration approved esketamine. Ketamine treatment was portrayed in an extremely positive light ( n = 82, 68.9%), with significant contributions of positive testimony from key opinion leaders (e.g. clinicians). Positive research results and ketamine's rapid antidepressant effect ( n = 87, 73.1%) were frequently emphasised, with little reference to longer-term safety and efficacy. Side-effects were frequently reported ( n = 96, 80.7%), predominantly ketamine's acute psychotomimetic effects and the potential for addiction and misuse, and rarely cardiovascular and bladder effects. Not infrequently, key opinion leaders were quoted as being overly optimistic compared with the existing evidence base. Conclusions Information pertinent to patient help-seeking and treatment expectations is being communicated through the media and supported by key opinion leaders, although some quotes go well beyond the evidence base. Clinicians should be aware of this and may need to address their patients’ beliefs directly.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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