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Record W2052695085 · doi:10.1002/ibd.3780050317

Are serological tests for IBD useful to clinicians?

2007· article· en· W2052695085 on OpenAlexaff
Ernest G. Seidman

Bibliographic record

VenueInflammatory Bowel Diseases · 2007
Typearticle
Languageen
FieldMedicine
TopicCeliac Disease Research and Management
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSerologyMedicineInflammatory Bowel DiseasesImmunologyInflammatory bowel diseaseInternal medicineDiseaseAntibody

Abstract

fetched live from OpenAlex

Anti-Saccharomyces cerevisiae mannan antibodies combined with antineutrophil cytoplasmic autoantibodies in inflammatory bowel disease: prevalence and diagnostic role. Quinton JF, Sendid B, Reumaux D, Duthilleul P, Cortot A, Grandbastien B, Charrier G, Targan SR, Colombel JF, Poulain D. Gut 1998;42:788-91. Perinuclear antineutrophil cytoplasmic autoantibodies (pANCA) have become established as a marker of ulcerative colitis (UC). More recently, antibodies to oligomannosidic epitopes of the yeast Saccharomyces cerevisiae (ASCA) have been the focus of much interest as a marker of Crohn's disease (CD). The authors assessed the diagnostic value of detecting pANCA and/or ASCA for the diagnosis of UC and CD. The study population consisted of 100 adult patients with CD, 101 with UC, 27 with various other diarrheal disorders, and 163 healthy controls. The combination of a positive pANCA and negative ASCA tests yielded a sensitivity, specificity, and positive predictive values of 57, 97 and 92.5%, respectively, for UC. The combination of a positive ASCA and negative pANCA tests yielded 49, 97, and 92.5% for the same parameters. Using multivariate analysis, ASCA in CD was found to be associated with small bowel involvement. The authors concluded that ASCA and pANCA are strongly associated with CD and UC, respectively. Comment: The article by Quinton et al. raises the question as to the clinical usefulness and role for serological tests in IBD. Most clinicians would argue that they are certainly capable of diagnosing IBD using the gold standard combination of radiological, endoscopic, and histologic criteria. What then is the place for these antibody assays? There is no doubt that in many cases, especially those that are the most severely affected, an experienced clinician can make a diagnosis of IBD on the basis of the history and physical examination alone. In such instances, we carry out colonoscopies and barium studies to provide histological confirmation and for determining the extent of involvement. Do experienced clinicians need serological assays in their diagnostic armamentarium? In my opinion, I would say yes. The answer to my rhetorical question is based on the diagnostic accuracy of the tests in question. In UC, pANCA have been reported to be present in 40-80% of cases, with a high degree of disease specificity (Gastroenterology 1991;100: 1590-6; Gastroenterology 1998;115:822-9). Similarly, ASCA has been reported to be 64% sensitive and 77% specific for discriminating CD from UC and 89% specific for distinguishing CD from controls (Clin Diag Lab Immunol 1996;3:219-26). The results of the present study thus confirm previous reports. A recent study found similar results for the diagnostic accuracy of ASCA and pANCA in pediatric IBD patients (Gastroenterology 1998;115:822-9). In the present and the pediatric study, the sensitivity of ASCA in patients with CD restricted to the colon was 45 and 47%, respectively. However, in the latter study, “double ASCA positivity” (IgG and IgA titers) was 100% specific for CD (Gastroenterology 1998;115:822-9). In the above study by Quinton and colleagues, it is not clear whether ASCA positivity related to IgG only, or to other isotypes as well. These findings have important clinical implications with respect to differentiating CD from UC in patients with colitis, or for cases of “indeterminate colitis.” CD patients with a “UC-like” presentation are often pANCA positive (Gastroenterology 1996;110:1810-9). Therefore, only the presence of ASCA can truly be considered specific for CD. In the above study by Quinton et al., pANCA negative/ASCA positive results were 97% specific and had a 96% positive predictive value for CD, whereas pANCA positive/ASCA negative assays were 97% specific and 92.5% predictive value positive for UC. In view of the disparate prognosis after colectomy in UC vs. CD, the data thus suggest that ASCA and pANCA testing should be carried out prior to elective “curative” surgery for UC. In many cases, the diagnosis of IBD is delayed due to nonspecific presenting complaints. Reliable screening tests would be potentially helpful in these circumstances, allowing the clinician to expedite the diagnosis. Furthermore, a high negative predictive value of serological tests would potentially avoid unnecessary, more-invasive and costly testing. In the study by Quinton et al. the negative predictive value of ASCA for CD was 94.5%. However, it is not at all clear that the study was carried out prospectively. Nor did all patients have symptoms potentially consistent with IBD. On the contrary, all but 27 of the 190 non-IBD control patients were healthy individuals who had no gastrointestinal symptoms or family history of IBD. Furthermore, the clinical value of any test is overestimated when the prevalence of the disease in the population studied is artificially high, such as in the above report (201 of 391 patients studied had IBD). Further prospective studies using ASCA thus need to be carried out in patients with gastrointestinal complaints so that the true diagnostic accuracy of this very promising test can be established.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.078
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.078
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.003
Scholarly communication0.0030.006
Open science0.0010.001
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0050.004

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.

Opus teacher head0.049
GPT teacher head0.362
Teacher spread0.312 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations4
Published2007
Admission routes1
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