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Record W1995013492 · doi:10.3899/jrheum.081212

Autologous Hematopoietic Stem Cell Transplant in Systemic Sclerosis: Quantitative High Resolution Computed Tomography of the Chest Scoring

2009· article· en· W1995013492 on OpenAlexvenueno aff
David Launay, Zora Marjanovic, C. de Bazelaire, Laura Florea, Sarah Zohar, H. Keshtmand, C. Deligny, AXELLE de RAIGNIAC, Athol U. Wells, Dominique Farge

Bibliographic record

VenueThe Journal of Rheumatology · 2009
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHigh-resolution computed tomographyScleroderma (fungus)Hematopoietic stem cell transplantationLungHigh resolutionRadiologyInterstitial lung diseaseNuclear medicineSurgeryInternal medicineTransplantationPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Using high resolution computed tomography (HRCT), to assess the lung involvement outcome after autologous hematopoietic stem cell transplant (AHSCT) in patients with scleroderma (systemic sclerosis, SSc). METHODS: HCRT scans prospectively performed before (n = 9 patients) and after (n = 47) AHSCT were blindly reviewed by 2 independent investigators using the Wells score. RESULTS: After a median 60 months' followup, the overall disease extent score from HCRT scans decreased from 10 (0-45) to 4 (0-36) (p = 0.04) 6 months after AHSCT, and thereafter increased up to 36 months and stabilized; the modified Rodnan skin score fell (p < 0.05). CONCLUSION: The extent of SSc lung involvement on HRCT rapidly but transiently regressed after AHSCT.

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)0.000
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 score0.256
Threshold uncertainty score0.325

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0000.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.235
Teacher spread0.212 · 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

Citations37
Published2009
Admission routes1
Has abstractyes

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