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Pancreatic Enzyme Therapy and Nutritional Status of Outpatients With Chronic Pancreatitis

2001· article· en· W1963607501 on OpenAlexaff
Patricia Trolli, Darwin L. Conwell, Gregory Zuccaro

Bibliographic record

VenueGastroenterology Nursing · 2001
Typearticle
Languageen
FieldMedicine
TopicPancreatitis Pathology and Treatment
Canadian institutionsPancreas Centre (Canada)Cegep de Sept Iles
Fundersnot available
KeywordsPancreatitisMedicineMalnutritionInternal medicineGastroenterologyAbdominal painAcute pancreatitis

Abstract

fetched live from OpenAlex

Patients with chronic pancreatitis are at risk for poor nutritional status. The two major clinical features of chronic pancreatitis are abdominal pain and maldigestion, both resulting in malnutrition. Abdominal pain often results in decreased oral intake, and decreased enzyme production results in maldigestion. Enzyme therapy often is included in treating chronic pancreatitis. There is limited data on the nutritional assessment of outpatients with chronic pancreatitis, and the efficacy of the use of enzyme therapy remains controversial. Serum albumin level and measurement of ideal body weight are two simple measures of nutritional status that can be obtained by gastroenterology nurses. A retrospective chart review was done of patients seen in our outpatient clinic for management of chronic pancreatitis. Serum albumin levels, an indicator of protein calorie malnutrition, were reviewed for 34 patients. Thirty-three percent of these patients were found to have mild-to-moderate protein calorie malnutrition as evidenced by low serum albumin levels. Enzyme therapy information was reviewed for 33 patients. Patients receiving enzyme therapy had better nutritional status based on both serum albumin levels and percent of ideal body weight. Gastroenterology nurses can be instrumental in the recognition and treatment of nutritional deficiencies in chronic pancreatitis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.579

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.016
GPT teacher head0.263
Teacher spread0.247 · 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

Citations25
Published2001
Admission routes1
Has abstractyes

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