P130 Delay in diagnosis of inflammatory bowel diseases and associated factors since the 1980s
Bibliographic record
Abstract
There is an increase in IBD (Crohn’s disease-CD and ulcerative colitis-UC) diagnosis during the last decades. Also the importance of early treatment commencement has been highlighted by several studies. The aim of the present study was to investigate whether there is a change in the time delay between symptom initiation and diagnosis nowadays in comparison to the past and to search for possible associated factors. The medical records of patients of the outpatient IBD clinic of ‘Tzaneion’ General Hospital from the beginning of patient recording up to present were revised and were classified in 4 time periods (1980–1989, 1990–1999, 2000–2009 and 2010 until 2018). Data regarding time of initiation of symptoms and time of diagnosis of IBD as well as data regarding age at diagnosis (according to Montreal classification), gender, disease type (ulcerative colitis-UC and Crohn’s disease-CD) and educational level were collected excluding patients with missing data. In total, 483 patients in total (UC: 240, CD 243) were studied. The results regarding delay of diagnosis from initiation of symptoms are shown in Table 1. The results regarding delay of diagnosis from initiation of symptoms and the aforementioned factors are shown in Table 2. According to the results, it seems that despite the constantly increasing interest in IBD and the evolution of diagnostic means, there has been no improvement as far as the delay between initiation of symptoms and diagnosis is concerned. The results are similar for both UC and CD. As for associated factors it was found that male patients and patients with UC are diagnosed earlier compared with females and patients with CD, whereas age at time of diagnosis and educational level are not associated with the time delay.
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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.003 | 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 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".