Bibliographic record
Abstract
The efforts of clinical researchers, lay organizations and pharmaceutical companies have increased the public profile of irritable bowel syndrome and made it a respectable diagnosis. Diagnostic symptom criteria encourage a firm clinical diagnosis, which is the foundation of a logical management strategy. This begins with education. Reassurance that no structural disease threatens should be tempered with the reality that symptoms are likely to recur over many years. Patients expect diet and lifestyle advice, even if this is not specific to irritable bowel syndrome. Only a few of those with irritable bowel syndrome see doctors, and even fewer see specialists. Therefore, the treating physician should ascertain the reason for the visit, the patient's fears and the presence of any comorbid illness, such as depression, that might require treatment in its own right. No drug treatment is useful for all of the symptoms of irritable bowel syndrome, and many patients require no drug at all. If used, drugs should target the predominant symptom. Alosetron, a 5-HT3 antagonist, is effective in treating women with irritable bowel syndrome who also have diarrhoea. Tegaserod, a 5-HT4 agonist, is useful for women with irritable bowel syndrome who are constipated. Most patients with irritable bowel syndrome need psychological support. Reassurance, discussion and relaxation techniques can be provided by the family doctor. Difficult psychopathology may require referral to a mental health professional, and the gastroenterologist can settle diagnostic uncertainties. In all cases, successful treatment depends on a confident diagnosis and the strength of the doctor-patient relationship.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".