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Record W4241419781 · doi:10.1155/2012/802145

SP-D Polymorphisms and the Risk of COPD

2012· article· en· W4241419781 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDisease Markers · 2012
Typearticle
Languageen
FieldMedicine
TopicNeonatal Respiratory Health Research
Canadian institutionsUniversity of British Columbia
FundersHigher Education Commission, Pakistan
KeywordsCOPDSpirometryGenotypeAlleleSingle-nucleotide polymorphismMedicineInternal medicineRisk factorGastroenterologyImmunologyPolymerase chain reactionCase-control studyBiologyAsthmaGeneticsGene

Abstract

fetched live from OpenAlex

Introduction : There are limited data linking serum levels of surfactant protein D, its genetic polymorphisms to the risk of Chronic Obstructive Pulmonary Disease (COPD). Objectives : We sought to investigate these relationships using a case control study design. Methods : Post bronchodilator values of FEV1/FVC <0.7 were used to diagnose COPD patients ( n = 115). Controls were healthy subjects with normal spirometry ( n = 106) Single nucleotide polymorphisms (rs721917, rs2243639, rs3088308) were genotyped using polymerase chain reaction (PCR) and restriction analysis. Serum SP-D levels were measured using a specific immunoassay. Results: Allele ‘A’ at rs3088308 ( p < 0.00, B = −0.41) and ‘C’ allele at rs721917 ( p = 0.03; B = −0.30) were associated with reduced serum SP-D levels. Genotype ‘T/T’ at rs721917 was significantly associated with risk of COPD ( p = 0.01). Patients with repeat exacerbations had significantly higher serum SP-D even after adjusting for genetic factors. Conclusions: We report for the first time that rs3088308 is an important factor influencing systemic SP-D levels and confirm the previous association of rs721917 to the risk of COPD and serum SP-D levels.

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.

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 score0.058
Threshold uncertainty score0.315

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.022
GPT teacher head0.323
Teacher spread0.301 · 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