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The Correlation Between a Fecal Calprotectin and a a Clinical Index for Disease Activity for Crohnʼs Disease: A Prospective Cohort

2015· article· en· W2977243441 on OpenAlexaffabout
Sarvee Moosavi, Oliver Takach, Brian Bressler, Greg Rosenfeld

Bibliographic record

VenueThe American Journal of Gastroenterology · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineCalprotectinInternal medicineCrohn's diseaseDiseaseProspective cohort studyDemographicsGastroenterologyAmbulatoryCohortFaecal calprotectinFecesInflammatory bowel disease

Abstract

fetched live from OpenAlex

Introduction: The optimal way to follow a patient with Crohn's disease in routine clinical care is unknown as routine endoscopy for mucosal healing is not practical. Current approaches include clinical scoring systems for Crohn's Disease activity, such as the Harvey Bradshaw Index (HBI). Alternatively fecal calprotectin (FC) has been shown to correlate closely with endoscopic disease activity. In this study, we aimed to evaluate the correlation between FC, and HBI. These values were subsequently compared to disease activity as reported on CT enterography (CTE). Methods: A total of 103 patients were recruited from the ambulatory setting at St. Paul's Hospital, Vancouver, BC for a CTE evaluating Crohn's disease activity, between September 2012 and September 2014. They were enrolled in a larger study evaluating FC and disease activity evident on CTE. The inclusion criteria were: 1) patients were older than 19. 2) with a confirmed diagnosis of Crohn's disease, and 3) both HBI and FC data were avialable from the same office visit. Demographics, historic data, FC, HBI, and CTE findings were collected prospectively for further analysis. Results: Of 103 patients, 46% were male with average age of 43.6 +/- 15.7 years. Using a Spearman's correlation coefficient graph, no significant correlation was found between HBI and FC levels (rs = - 0.070 (p = 0.484, .95 CI, -0.2664, 0.1319)). Average HBI was 4.4 +/- 4.5 for active disease and 5.3 +/- 4.9 for inactive diasease, showing a statistically non-significant difference between the 2 groups (p=0.28). Average FC was 556 +/- 596.8 for νg/g for active disease and 181.6 +/- 222.3 for inactive disease (p=0.001). In order to assess the validity of FC against CTE findings, any value greater than 150 νg/g was considered to represent active disease. Using this cutoff, FC had a sensitivty of 0.61, specificty of 0.79, PPV of 0.76, and a NPV of 0.62 for detecting active disease, as defined by CTE. Conclusion: In this prospective study of patients with Crohn's disease, no significant correlation was found between FC, an objective biomarker of disease activity, and a clinical index of disease activity, HBI, as evident by cross-referencing them with the findings of CT enterography. Although questionnaires such as HBI may not be completely reliable to assess Crohn's disease acitivity, further research is needed to confirm the utility of FC as a more objective measure of Crohn's disease activity than indices such as HBI.Figure 1Figure 2

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)0.001
metaresearch head score (Gemma)0.002
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.014
GPT teacher head0.303
Teacher spread0.289 · 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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Citations0
Published2015
Admission routes2
Has abstractyes

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