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Record W4221114558 · doi:10.1002/ncp.10849

Nutrition implications of intrinsic restrictive lung disease

2022· review· en· W4221114558 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

VenueNutrition in Clinical Practice · 2022
Typereview
Languageen
FieldMedicine
TopicInterstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineInterstitial lung diseaseMalnutritionLungPopulationIntensive care medicineBody mass indexDiseaseRestrictive lung diseaseIdiopathic pulmonary fibrosisInternal medicineEnvironmental health

Abstract

fetched live from OpenAlex

Restrictive lung disease is defined as a reduction in lung volume that may be due to intraparenchymal or extraparenchymal causes. Intraparenchymal causes falls under the umbrella term of interstitial lung disease (ILD) and includes idiopathic pulmonary fibrosis. This manuscript provides an overview of ILD and can be beneficial for all clinicians working with patients with ILD. Although not well documented, the prevalence of malnutrition in patients with ILD has been reported to be between ~9% and 55%. Body mass index has been shown to predict survival; but more recently, research has suggested that fat-free mass has a larger influence on survival. There is insufficient evidence to support the use of antioxidant or vitamin supplementation to help diminish the chronic inflammatory process that is seen in this patient population. There are data from studies examining the vitamin D status in this patient population, but research on vitamin D supplementation appears to be lacking. Registered dietitian nutritionists should continue to advocate and play a more prominent role in the nutrition management of patients with ILD as part of standard of care.

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)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.946
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.122
GPT teacher head0.483
Teacher spread0.361 · 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