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Record W2118328023 · doi:10.1185/03007995.2012.756808

Impact of sevelamer versus calcium-based binders on hospitalizations and missed in-center dialysis treatments among CKD patients on dialysis: a modeled analysis

2012· article· en· W2118328023 on OpenAlexaff
Daniel Grima, Elizabeth S. Dunn, Lisa Bernard, David C. Mendelssohn

Bibliographic record

VenueCurrent Medical Research and Opinion · 2012
Typearticle
Languageen
FieldMedicine
TopicParathyroid Disorders and Treatments
Canadian institutionsHumber River Regional Hospital
Fundersnot available
KeywordsMedicineDialysisSevelamerDialysis adequacyEnd stage renal diseaseIntensive care medicineHemodialysisEmergency medicineInternal medicineKidney diseaseHyperphosphatemia

Abstract

fetched live from OpenAlex

PURPOSE: The avoidance of hospitalizations and the maintenance of in-center dialysis sessions in patients receiving dialysis for end-stage renal disease (ESRD) have obvious benefits to patients, dialysis providers and payers. Benefits include better continuity of care, better patient outcomes, improved quality of life, and reduced healthcare expenditures. The objective of this study was to quantify, from the perspective of a dialysis provider in the US, the potential impact of sevelamer versus calcium-based binders (CBBs) on hospitalization days and maintenance of in-center dialysis sessions among hyperphosphatemic dialysis patients. METHODS: A Microsoft Excel-based model was developed to simulate the number of missed dialysis sessions among three hypothetical cohorts of hyperphosphatemic patients treated with either sevelamer or CBBs. The cohorts were characterized by their size to represent a small, mid-size, or large dialysis organization (75, 30,000, and 120,000 patients, respectively). In any given month, a patient in the model could receive dialysis treatments within the center, experience a hospitalization, or die. Treatment-specific monthly survival rates, hospitalization rates, length of stay, and binder dosages were derived from the Dialysis Clinical Outcomes Revisited (DCOR) study. A dialysis schedule of three treatments per week was assumed. Analyses were conducted for a 1-year time horizon. RESULTS: For a small dialysis center, CBBs were associated with an increased number of missed in-center dialysis treatments (447) compared to sevelamer (395). Thus, sevelamer use avoided 52 missed in-center dialysis sessions during 1 year of treatment compared to CBBs. The magnitude of sevelamer's impact on maintaining in-center dialysis treatments increased with the size of the dialysis organization; for a mid-size dialysis organization sevelamer use avoided 20,571 missed in-center dialysis sessions and for a large dialysis organization sevelamer use avoided 82,286 missed in-center dialysis sessions. CONCLUSIONS: Treatment of hyperphosphatemic dialysis patients with sevelamer relative to CBBs was associated with a reduction in the number of missed in-center dialysis treatments across small, mid-size, and large dialysis organizations. This reduction could contribute to improved patient outcomes via undisrupted delivery of care within the dialysis clinic. The use of sevelamer versus CBBs could also result in an increased number of reimbursement payments to dialysis clinics and providers by avoiding missed in-center dialysis sessions due to hospitalization.

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)0.001
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 score0.015
Threshold uncertainty score0.593

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.124
GPT teacher head0.460
Teacher spread0.336 · 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

Citations3
Published2012
Admission routes1
Has abstractyes

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