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PTH-077 De-escalating therapy in patients with crohn’s disease receiving adalimumab: subgroup analysis of the calm study

2019· article· en· W3023048221 on OpenAlexaff
Peter Bossuyt, Geert D’Haens, Remo Panaccione, William J. Sandborn, Walter Reinisch, Simon Travis, Stefan Schreiber, Alessandro Armuzzi, Silvio Danese, Sjoerd A.A. van den Berg, J Petersson, JF Maa, Ezequiel Neimark, J F Colombel

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicinePrednisoneAdalimumabInternal medicineClinical endpointRandomizationGastroenterologyAzathioprineCrohn's diseasePlaceboRandomized controlled trialSurgeryDiseasePathology

Abstract

fetched live from OpenAlex

Introduction This analysis evaluated the impact of de-escalating therapy on mucosal healing 48 weeks (wks) after randomization in patients (pts) with Crohn’s disease (CD) in the CALM study. Methods Pts with moderate-to-severe CD naïve to immunomodulators and biologics were randomized 1:1 to a tight control group (TCG) or clinical management group (CMG) after 8 wks of prednisone therapy. Treatment was escalated from no treatment to 40 mg adalimumab (ADA) every other wk (EOW) to 40 mg ADA every wk (EW) to 40 mg ADA EW+2.5 mg/kg azathioprine (AZA)/day at 12, 24, and 36 wks after randomization based on failure criteria (CD Activity Index [CDAI]=200 or decrease <70 points [1 wk pre-randomisation] or <100 points versus baseline [at wk 11, 23, 35] and prednisone use for the CMG; CDAI=150, C-reactive protein=5 mg/L, faecal calprotectin=250µg/g, and prednisone use for the TCG). At 24 and 36 wks, if failure criteria were not met, patients de-escalated ADA EW dose to 40 mg ADA EOW. Pts re-escalated if failure criteria were met at the next visit. The primary endpoint (mucosal healing [CD Endoscopic Index of Severity <4] and no deep ulcers at 48 wks post-randomisation) was evaluated in pts who de-escalated treatment. Analyses were performed in pts who completed the study and did not move to rescue therapy. Non-responder imputation was used for missing data. Results 15 pts in the CMG and 31 pts in the TCG de-escalated treatment during the study. Of those, 2 pts in the CMG and 8 pts in the TCG re-escalated to 40 mg ADA EW. Overall, 54% of pts in the CMG and 61% of pts in the TCG who de-escalated to 40 mg ADA EOW ± AZA achieved the primary endpoint (table 1). Of the pts who re-escalated to ADA EW, 0% in the CMG, and 75% in the TCG achieved the primary endpoint (table 1). The overall adverse event rates have been previously reported (Colombel, 2018) Conclusions Our data suggest that repeated dose optimization based on tight control is a more refined approach resulting in mucosal healing compared with clinical management. Larger data sets are needed to confirm our observation on repeated dose optimization. Reference Colombel, et al. Lancet 2018;390:2779–89.

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)0.005
metaresearch head score (Gemma)0.005
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: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.004
GPT teacher head0.214
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
Published2019
Admission routes1
Has abstractyes

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