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PTU-069 Effect of Adalimumab on Patients with Moderate to Severe Ulcerative Colitis in UK Clinical Practice Setting: Results from Inspirada

2016· article· en· W2552022124 on OpenAlexaff
Peter M. Irving, Fraser Cummings, S Bloom, A. Lazar, Robinson Am, B.D.S. Pappalardo, Mareike Bereswill, Martha Skup, N Chen, Tricia Finney‐Hayward, S Wang, R. Thakkar, Simon Travis

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsSt. Thomas Hospital
Fundersnot available
KeywordsMedicineAdalimumabUlcerative colitisInternal medicinePopulationDisease

Abstract

fetched live from OpenAlex

Introduction Limited real world data are available regarding the effects of adalimumab (ADA) on UK patients with moderate to severe ulcerative colitis (UC). Methods INSPIRADA was a single-arm, multi-country, open-label study that evaluated the effect of ADA on patients with UC treated according to usual clinical practice. Adults with active moderate to severe UC who failed immunosuppressive therapies and experienced rectal bleeding within 7 days of baseline (BL) were enrolled. Prior use of anti-TNF was allowed. Clinical outcomes included Simple Clinical Colitis Activity Index (SCCAI) response (a decrease ≥2 points compared to BL) and remission (SCCAI ≤2). HRQoL (EQ-5D-5L and SIBDQ), treatment satisfaction with medication (TSQM), and work productivity and activity impairment (WPAI) were measured from BL to week 26. Direct medical costs (excluding ADA costs) were estimated using 2014 UK National Health Service reference costs. Indirect costs were based on the WPAI using average weekly earnings from the 2014 UK Annual Salary Survey of Hours and Earnings. Change (defined as 6 mo after start of ADA vs 6 mo before) in resource use and costs were calculated. Data for the intent-to-treat population in UK were analysed. Missing data were imputed using last observation carried forward. Results Data from 90 UK patients (58% male, mean age 39 yrs) were analysed. Mean SCCAI at BL was 8.2. At week 2, 74% achieved SCCAI response and 21% achieved SCCAI remission. At week 8, 73% achieved SCCAI response, 40% in remission and 49% had no blood in stool. At week 26, 66% achieved SCCAI response, 42% in remission and 51% had no blood in stool. Significant improvements, as early as within 2 weeks, in SIBDQ (19.5 points, p < 0.001), EQ-5D-5L (0.12 index score and 20.5 VAS points, both p < 0.001), 3 of 4 WPAI domains (−31%, −32%, −32%, all p < 0.001), and 3 of 4 TSQM domains (18%, 23%, 29%, all p < 0.001) occurred from BL to week 26. Significant decreases in UC-related medical costs (−£1857, p < 0.001), all-cause direct costs (−£1613, p < 0.001), and UC-related direct + indirect costs (−£6001, p < 0.001) occurred 6 mo after starting ADA compared to 6 mo before starting ADA. Conclusion Real world rates of response, remission and improvements in HRQoL with ADA for UK patients with moderate to severe UC were clinically meaningful. ADA improved work productivity, increased patient satisfaction with therapy and reduced health care associated costs for these patients in the UK. Disclosure of Interest P. Irving Grant/research support from: AbbVie; Falk; Ferring; Genentech/Roche; Hospira; Merck; Pharmacosmos; Shire; Takeda; Tillotts; Topivert; Vifor and Warner Chilcott, Conflict with: Advisor/invited lecturer for: AbbVie; Falk; Ferring; Genentech/Roche; Hospira; Merck; Pharmacosmos; Shire; Takeda; Tillotts; Topivert; Vifor and Warner Chilcott, F. Cummings Conflict with: Advisor/lectures for: Takeda, Abbvie, MSD, Biogen, Napp, Hospira, Janssen, S. Bloom Conflict with: Advisor/lectures for: Takeda, Tillotts, Abbvie, MSD, Pharmacosmos, Vifor, Johnson and Johnson, A. Lazar Shareholder of: AbbVie, Employee of: AbbVie, A. Robinson Shareholder of: AbbVie, Employee of: AbbVie, B. Pappalardo Shareholder of: AbbVie, Employee of: AbbVie, M. Bereswill Shareholder of: AbbVie, Employee of: AbbVie, M. Skup Shareholder of: AbbVie, Employee of: AbbVie, N. Chen Shareholder of: AbbVie, Employee of: AbbVie, T. Finney-Hayward Shareholder of: AbbVie, Employee of: AbbVie, S. Wang Shareholder of: AbbVie, Employee of: AbbVie, R. Thakkar Shareholder of: AbbVie, Employee of: AbbVie, S. Travis Grant/research support from: AbbVie; Asahi; Boehringer Ingelheim; BMS; Cosmo; Elan; Ferring; FPRT Bio; Genentech/Roche; Genzyme; Glenmark; GW Pharmaceuticals; Lilly; Merck; Novartis; Novo Nordisk; Ocera; Pfizer; Shire; Santarus; SigmoidPharma; Synthon; Takeda; Tillotts; Topivert; Trino Therapeutics with Wellcome Trust; UCB Pharma; Vertex; VHsquared; Vifor; Warner Chilcott and Zeria, Conflict with: Advisor or paid instructor for: AbbVie; Asahi; Boehringer Ingelheim; BMS; Cosmo; Elan; Ferring; FPRT Bio; Genentech/Roche; Genzyme; Glenmark; GW Pharmaceuticals; Lilly; Merck; Novartis; Novo Nordisk; Ocera; Pfizer; Shire; Santarus; SigmoidPharma; Synthon; Takeda; Tillotts; Topivert; Trino Therapeutics with Wellcome Trust; UCB Pharma; Vertex; VHsquared; Vifor; Warner Chilcott and Zeria. All advisory boards were suspended Q1 2012–14 while President of ECCO

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)0.003
metaresearch head score (Gemma)0.010
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 score0.006
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.008
GPT teacher head0.275
Teacher spread0.268 · 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
Published2016
Admission routes1
Has abstractyes

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