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Record W3170765657 · doi:10.1093/ndt/gfab097.0034

MO754THE INTERRELATIONSHIP BETWEEN FLUID OVERLOAD AND VASCULAR STIFFNESS IN HEMODIALYSIS PATIENTS: A SCOPING REVIEW

2021· review· en· W3170765657 on OpenAlexaff
Aya Lafta, Aminu K. Bello, Sara N. Davison, Stephanie Thompson, Branko Braam

Bibliographic record

VenueNephrology Dialysis Transplantation · 2021
Typereview
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMedicineArterial stiffnessPulse wave velocityCINAHLObservational studyExtracellular fluidRandomized controlled trialInternal medicineHemodialysisCardiologyBlood pressureExtracellular

Abstract

fetched live from OpenAlex

Abstract Background and Aims Fluid overload and vascular stiffness are two independent predictors of cardiovascular events in hemodialysis (HD) patients. To date, observational and interventional studies that investigated the effect of inter- and intradialytic fluid overload changes on vascular stiffness in HD patients are very limited. We performed a scoping review to explore existing reports about effects of fluid overload on vascular stiffness in adults receiving HD treatment and to identify knowledge gaps for future research. Method We followed the framework originally developed by Arksey and O’Malley. We searched Medline, Embase, CINAHL, and Cochrane Database of systematic reviews from inception to October 29, 2019. References of review papers were screened for relevant studies not identified from the initial search until saturation is achieved. Results Of 666 eligible studies, nineteen studies met the inclusion criteria. These included clinical observational studies (n=16) and randomized controlled trials (n=3). In general, most of the identified studies had small sample size and short term of follow up. Studies use different definitions of fluid overload and vascular stiffness. Measures of relative fluid overload like the ratio of extracellular fluid/intracellular fluid, fluid overload/extracellular fluid, and/or extracellular fluid/total body fluid were used as a representative of fluid status. Pulse wave velocity and augmentation index were used interchangeably as vascular stiffness measures. The accumulated findings were inconsistent and inconclusive. There was no consensus whether intradialytic fluid volume changes affected vascular stiffness. In the majority of the observational studies, a decrease in pulse wave velocity or augmentation index correlated with a decrease in blood pressure after fluid correction by HD treatment. The randomized clinical trials used different methods and technologies for the correction of fluid overload, thereby, results were conflicting. Conclusion Current literature is insufficient to justify whether fluid overload changes have a direct effect on vascular stiffness in HD patients. The findings were conflicting which limits the comparisons of studies and generalization of findings. These knowledge gaps urge the need for further clinical studies to enhance the understanding and to improve the quality of research in this topic. This includes standardized definitions and methodologies as well as longer term of follow up.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.044
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.017
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.044
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0070.007
Bibliometrics0.0170.015
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0020.002
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.035
GPT teacher head0.342
Teacher spread0.307 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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

Citations0
Published2021
Admission routes1
Has abstractyes

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