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Record W2055621121 · doi:10.3899/jrheum.140276

Association Between Nailfold Capillaroscopy Findings and Pulmonary Function Tests in Patients with Systemic Sclerosis

2014· article· en· W2055621121 on OpenAlexvenueno aff
I. Castellví, Carmen Pilar Simeón‐Aznar, M. Sarmiento, Ana Fortuna, Mercedes Mayos, Carme Geli, Cèsar Díaz‐Torné, Patricia Moya, Josep Maria Llobet, Jordi Casademont

Bibliographic record

VenueThe Journal of Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicSystemic Sclerosis and Related Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsDLCOMedicinePulmonary function testingInternal medicineInterstitial lung diseaseVital capacityScleroderma (fungus)PathologicalDiffusing capacityCardiologyPulmonary hypertensionRetrospective cohort studyLungLung functionPathology

Abstract

fetched live from OpenAlex

OBJECTIVE: To determine whether there is an association between different capillaroscopic findings and pulmonary function tests in systemic sclerosis (SSc). METHODS: We did a retrospective observational study in a cohort of patients with SSc and early SSc. Patients with at least 1 nailfold videocapillaroscopy (NVC) magnified 120× were included. Pathological findings were giant capillaries, angiogenesis, and density loss. Findings were compared with lung function values: percent expected value of forced vital capacity (FVC), DLCO, and FVC/DLCO ratio. Other variables collected were sex and SSc type, and the presence of digital ulcers (DU), interstitial lung disease (ILD), scleroderma renal crisis, and/or pulmonary hypertension (PH). RESULTS: Of 136 patients with SSc, 85 had undergone an NVC. The frequency of ILD, DU, and PH was 24.1%, 28.7%, and 17.2%, respectively. Data analysis showed that patients with density loss had worse FVC% (86.91 ± 19.42 vs 101.13 ± 16.06, p < 0.01) and DLCO% (71.43 ± 21.19 vs 85.9 ± 19.81, p < 0.01) compared to those without. CONCLUSION: Patients with loss of density present worse FVC and DLCO values. Prospective studies are warranted to determine whether NVC is useful for studying pulmonary function in SSc.

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 score0.005
Threshold uncertainty score0.231

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.009
GPT teacher head0.207
Teacher spread0.198 · 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

Citations42
Published2014
Admission routes1
Has abstractyes

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