Will the History and Physical Examination Help Establish That Irritable Bowel Syndrome Is Causing This Patient's Lower Gastrointestinal Tract Symptoms?
Bibliographic record
Abstract
CONTEXT: Many individuals experience lower gastrointestinal tract symptoms, most commonly attributable to functional conditions. These individuals are frequently diagnosed with irritable bowel syndrome (IBS) based on their symptoms; however, some may require additional testing or referral to specialists before this diagnosis is made. OBJECTIVE: To systematically review the literature of the accuracy of individual symptoms and combinations of findings in diagnosing IBS. DATA SOURCES: Search of MEDLINE and EMBASE (up to June 2008) for prospective studies reporting on unselected cohorts of adult patients with lower gastrointestinal tract symptoms recorded before investigation. STUDY SELECTION: Studies prospectively evaluating accuracy of individual symptoms or combinations of findings compared with results from investigations of the lower gastrointestinal tract. DATA EXTRACTION: Two authors independently assessed studies and extracted data to estimate likelihood ratios (LRs) of individual symptoms and combinations of findings in diagnosing IBS. RESULTS: Ten studies evaluating 2355 patients were identified, with a summary prevalence of IBS following investigation of 57%. Individual symptom items yielded positive LRs from 1.2 (95% confidence interval [CI], 0.93-1.6) for passage of mucus per rectum to 2.1 (95% CI, 1.4-3.0) for looser stools at onset of abdominal pain and negative LRs from 0.29 (95% CI, 0.12-0.72) for no lower abdominal pain to 0.88 (95% CI, 0.72-1.1) for no passage of mucus per rectum in diagnosing IBS. The Manning criteria had a summary positive LR of 2.9 (95% CI, 1.3-6.4) and a summary negative LR of 0.29 (95% CI, 0.12-0.71). The Rome I criteria had a positive LR of 4.8 (95% CI, 3.6-6.5) and a negative LR of 0.34 (95% CI, 0.29-0.41). The Kruis scoring system provided a summary positive LR of 8.6 (95% CI, 2.9-26.0) and a summary negative LR of 0.26 (95% CI, 0.17-0.41). The Rome II and III criteria have not been studied. CONCLUSIONS: Individual symptoms have limited accuracy for diagnosing IBS in patients referred with lower gastrointestinal tract symptoms. The accuracy of the Manning criteria and Kruis scoring system were only modest. Despite strong advocacy for use of the Rome criteria, only the Rome I classification has been validated. Future research should concentrate on validating existing diagnostic criteria or developing more accurate ways of predicting a diagnosis of IBS without the need for investigation of the lower gastrointestinal tract.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".