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Record W2142990790 · doi:10.1093/ajhp/59.18.1736

Efficacy of intradialytic parenteral nutrition in malnourished hemodialysis patients

2002· article· en· W2142990790 on OpenAlexaff
Nancy Cherry, Karen Shalansky

Bibliographic record

VenueAmerican Journal of Health-System Pharmacy · 2002
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of British ColumbiaVancouver General Hospital
Fundersnot available
KeywordsMedicineHemodialysisInternal medicineAlbuminAdverse effectSurgeryWeight changeSerum albuminGastroenterologyWeight lossObesity

Abstract

fetched live from OpenAlex

The efficacy of intradialytic parenteral nutrition (IDPN) in malnourished hemodialysis patients was studied. All patients at a large tertiary care institution who received IDPN for one month or longer between June 1997 and December 2000 were included in the study. The IDPN formulation contained 10% amino acids 250 or 500 mL, 50% dextrose 250 mL, and 20% fat emulsion 250 mL. IDPN was administered during each thrice-weekly hemodialysis session. Patient data were collected 6 and 3 months before IDPN therapy began, at baseline, and 3, 6, 9, and 12 months after the therapy began. Therapeutic efficacy was assessed by the percent change from baseline in dry body weight and serum albumin concentration. Twenty-six courses of IDPN in 24 patients met the study's inclusion criteria. The mean duration of treatment was 4.3 months. Dry body weights were significantly lower 6 and 3 months before the start of IDPN therapy than at baseline and significantly higher 6, 9, and 12 months after the start of therapy. Serum albumin levels were also significantly higher at 3 and 9 months than at baseline. The percentage of treatment courses in which patients had a serum albumin concentration of > or = 34 g/L was 12% at baseline, 39% at 6 months, and 47% at 9 months. Adverse effects consisted primarily of excess fluid gain and hyperglycemia. IDPN therapy significantly increased body weight and serum albumin levels in malnourished hemodialysis patients.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.714
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.301
Teacher spread0.279 · 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

Citations36
Published2002
Admission routes1
Has abstractyes

Explore more

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