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70 Diagnostic Value of the MaRIA Index and its Correlation With Clinical and Biochemical Parameters in Patients With Crohn’s Disease in a Tertiary Care Hospital in Mexico

2025· article· en· W4417175833 on OpenAlexaboutno aff
Valerie Ocampo, E Contreras Aviles, Paola Rosales Téllez, Rodríguez López, Raquel Yazmin López Perez, Billy Jiménez Bobadilla, Jorge Luis De León Rendón

Bibliographic record

VenueThe American Journal of Gastroenterology · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsIndex (typography)Value (mathematics)CorrelationDiseaseTertiary care

Abstract

fetched live from OpenAlex

Introduction: Crohn’s disease (CD) is a chronic, transmural inflammatory disorder that may lead to stenosis, fistulas, and abscesses. Ileocolonoscopy is the gold standard for mucosal assessment, but its repeated use is limited by its invasive nature. Magnetic Resonance Index of Activity (MaRIA) provides a non-invasive evaluation of inflammatory activity. Correlating MaRIA with clinical indices and biomarkers may optimize disease monitoring, particularly in resource-limited settings. Aim: To determine the correlation between MaRIA index and clinical/biochemical parameters—Harvey–Bradshaw Index (HBI), Crohn’s Disease Activity Index (CDAI), C-reactive protein (CRP), and fecal calprotectin (FC)—in patients with CD at a tertiary care center in Mexico. Methods: A retrospective, observational, analytical study was conducted in 46 patients with CD treated at the Inflammatory Bowel Disease Clinic of the Hospital General de México. Data collected included enterography findings (MaRIA index), clinical indices, and biomarkers. Distribution was assessed using the Shapiro–Wilk test; correlations were evaluated using Spearman’s rank test. ROC curves were constructed to assess the discriminative ability of MaRIA for clinical remission. Analyses were performed with SPSS v29. Results: Clinical and demographic characteristics are summarized in Table 1 [presented in poster]. The mean age was 47.5 years, and 58.7% were women. According to the Montreal classification, L3 location predominated (41.3%), and A2–A3 age groups were most frequent (47.8%). Extraintestinal manifestations were observed in 47.8%, and perianal disease in 28.3%. Biologic therapy was used by 78.3%, predominantly ustekinumab (52.2%). During follow-up, 45.7% were hospitalized and 41.3% required surgery. MaRIA showed a significant positive correlation with HBI (rho = 0.525, P = 0.0021) and CDAI (rho = 0.522, P = 0.0022), but no association with CRP (rho = 0.293, P = 0.1037) or FC (rho = 0.053, P = 0.7721). ROC analysis showed an AUC of 0.750 for HBI and 0.821 for CDAI, indicating good discriminative ability for identifying clinical activity. Conclusions: The MaRIA index demonstrated significant correlation with clinical indices (HBI and CDAI) but not with biochemical biomarkers. These findings suggest that MaRIA may represent a reliable, non-invasive tool for assessing inflammatory activity in CD, particularly valuable in settings with limited resources.

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)0.000
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 score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.002
GPT teacher head0.212
Teacher spread0.210 · 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
Published2025
Admission routes1
Has abstractyes

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