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Record W7133001797

Vaikean ja keskivaikean tulehduksellisen suolistosairauden lääkehoidon tulokset Pirkanmaalla : Biologiset lääkkeet ja JAK-estäjät

2025· dissertation· fi· W7133001797 on OpenAlexaboutno aff
Olivia Sakki

Bibliographic record

VenueTrepo - Institutional Repository of Tampere University · 2025
Typedissertation
Languagefi
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Data collectionWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

Tulehduksellisiin suolistosairauksiin (IBD) sisältyy Crohnin tauti (CD), haavainen koliitti (UC) ja välimuotoinen koliitti (IBD-U). IBD:n oireita ovat krooninen ja/tai verinen ripuli, vatsakipu, painonlasku, väsymys sekä kuume. IBD:n ilmaantuvuus on kasvanut Suomessa 2000-luvulla. Tämä retrospektiivinen poikkileikkaustutkimus perustuu Pirkanmaan hyvinvointialueen IBD-laaturekisteriin, joka kattaa noin 10 % Suomen IBD-potilaista. Tutkimukseen valittiin yli 16-vuotiaat potilaat, jotka saivat biologista lääkettä (infliksimabi, adalimumabi, golimumabi, vedolitsumabi, ustekinumabi) tai JAK-estäjä tofasitinibiä. Potilaat (n=710) raportoivat OmaVointi-kyselyn taudin aktiviteetin aikavälillä 15.12.2022-15.05.2023. Taudinkuvaa ja lääkehoidon tuloksia arvioitiin Montreal-, SES-CD- ja MAYO-luokitusten, OmaVointi-kyselyn taudin aktiviteetin sekä ulosteen kalprotektiinipitoisuuden avulla. Suurimmalla osalla potilaista OmaVointi-kyselyn taudin aktiviteetti oli lieväasteinen. Crohnin tautia sairastavilla erityisesti infliksimabi, ja haavaista koliittia sairastavilla adalimumabi, vaikuttaisivat olevan yhteydessä rauhallisempaan tautitilanteeseen. Vaikeampi taudinkuva oli CD-potilailla adalimumabia ja UC-potilailla ustekinumabia saavilla. Lupaavia tuloksia saatiin UC-potilailla myös golimumabin ja tofasitinibin osalta, mutta otoskoko jäi pieneksi näiden lääkeaineiden osalta.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.636
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0020.001
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 head0.008
GPT teacher head0.215
Teacher spread0.207 · 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.

Study designNot applicable
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

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

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