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Record W4285389549 · doi:10.1080/00365521.2022.2090275

Switching from originator infliximab to biosimilar versus continuing on originator in inflammatory bowel disease: results from the observational Project NORTH study

2022· article· en· W4285389549 on OpenAlexfundno aff
Per M. Hellström, E. Gemmen, Heather Ward, Hye-Won Koo, Freddy Faccin, Zhenyi Xue, Petter Malmborg

Bibliographic record

VenueScandinavian Journal of Gastroenterology · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicBiosimilars and Bioanalytical Methods
Canadian institutionsnot available
FundersAbbVie Canada
KeywordsBiosimilarInfliximabMedicineDiscontinuationInflammatory bowel diseaseConcomitantInternal medicineObservational studyDiseasePharmacoepidemiologyAdverse effectPharmacology

Abstract

fetched live from OpenAlex

OBJECTIVE: Project NORTH compared real-world clinical and economic outcomes in Swedish patients with inflammatory bowel disease (IBD) who switched from originator infliximab to its biosimilar. MATERIALS AND METHODS: Data from electronic medical records and Swedish national registries were linked. Switchers (patients switching from originator infliximab to its biosimilar between 1 April 2014, and 31 December 2017) and non-switchers (patients who received originator infliximab and did not switch to a biosimilar by 31 December 2017) were followed up until 31 October 2019. RESULTS: = .0385); differences were not significant in subsequent follow-ups. At 6 and 24 months, 98% and 93% of switchers, respectively, used concomitant medications versus 96% and 79% of non-switchers. Throughout the study, all-cause treatment discontinuation occurred in 74 (67%) switchers and 105 (95%) non-switchers. At 36-months, mean (SD) number of IBD-related in-patient care days was higher among non-switchers (2.95 [4.71]) than switchers (1.40 [4.20]), as were total medical costs (€16,740 vs €3,872). CONCLUSIONS: No substantial differences in clinical outcomes or healthcare resource utilization were observed between switchers and non-switchers. Several analyses indicate that non-switchers might have more poorly controlled/severe disease than switchers at baseline. Overall, numerous difficulties might arise when executing a high-quality, real-world study, including possible selection bias for patients with better disease control for NMS, limiting the generalizability of the results.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.042
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.302
Teacher spread0.264 · 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 teacher head, 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".

Quick stats

Citations5
Published2022
Admission routes1
Has abstractyes

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