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Record W4414585394 · doi:10.70070/9qtn3g23

Central Venous Disease in Hemodialysis Patients: A Comprehensive Systematic Review of Pathophysiology, Management, and Outcomes

2025· article· en· W4414585394 on OpenAlexaboutno aff
Edelwis Christine, Charles Sanjaya

Bibliographic record

VenueThe International Journal of Medical Science and Health Research · 2025
Typearticle
Languageen
FieldHealth Professions
TopicCentral Venous Catheters and Hemodialysis
Canadian institutionsnot available
Fundersnot available
KeywordsObservational studyHemodialysisPercutaneousRandomized controlled trialDialysisSystematic reviewStenosisComplicationCentral venous catheterCochrane Library

Abstract

fetched live from OpenAlex

INTRODUCTION: Central Venous Disease (CVD), encompassing stenosis and occlusion of major thoracic veins, represents a critical challenge in the management of hemodialysis (HD) patients. It is a leading cause of vascular access dysfunction, contributing to significant morbidity, inadequate dialysis delivery, and compromised quality of life. This review systematically evaluates the evidence base for the pathophysiology, diagnosis, and management of CVD in this vulnerable population. METHODS: A systematic literature search was conducted across PubMed, Google Scholar, Semanthic Scholar, Springer, Wiley Online Library for cohort studies, randomized controlled trials (RCTs), and systematic reviews published between 1995 and 2024. Studies were included if they evaluated risk factors or treatment outcomes for CVD in adult HD patients. Primary outcomes analyzed were technical success, clinical success, primary patency, assisted-primary patency, and secondary patency. Secondary outcomes included complication rates and re-intervention frequency. Study quality was assessed using the Cochrane Risk of Bias tool for RCTs and the Newcastle-Ottawa Scale for observational studies. RESULTS: Seventeen studies met the inclusion criteria for detailed outcome analysis, supplemented by numerous others for epidemiological and pathophysiological context. The evidence overwhelmingly identifies prior central venous catheter (CVC) placement as the principal risk factor for CVD, with risk increasing with catheter duration and number of placements. Endovascular therapy is the first-line treatment for symptomatic lesions. Comparative analysis revealed that while percutaneous transluminal angioplasty (PTA) has high initial success, it suffers from poor long-term primary patency (21-29% at 12 months). Stent grafts (SGs) demonstrate significantly superior primary patency (84-100% at 12 months) compared to both PTA and bare-metal stents (BMS). Drug-coated balloons (DCBs) show promise over PTA but require further validation in central venous anatomy. Surgical bypass remains a viable salvage option for refractory cases. DISCUSSION: The pathogenesis of CVD is a CVC-driven process of endothelial injury and neointimal hyperplasia, exacerbated by high access flow. The management paradigm has shifted from PTA-dominant strategies to a more durable, device-oriented approach, with SGs offering the best primary patency. However, high rates of re-intervention across all modalities underscore the recalcitrant nature of the disease, highlighting a critical need for preventative strategies centered on CVC avoidance. CONCLUSION: CVD is a frequent and serious complication in HD patients, primarily caused by CVCs. While endovascular interventions can effectively manage symptomatic lesions, SGs provide the most durable outcomes. The cornerstone of management should be prevention through timely creation of permanent vascular access.

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)0.005
metaresearch head score (Gemma)0.021
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 score0.009
Threshold uncertainty score0.027

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0060.006
Bibliometrics0.0090.010
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.123
GPT teacher head0.516
Teacher spread0.393 · 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
Published2025
Admission routes1
Has abstractyes

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