Global Research on Hemodialysis Nutrition and Patient-Centered Priorities: A Bibliometric Analysis (2006–2025)
Bibliographic record
Abstract
Background: Optimal nutritional care is essential to improving outcomes in hemodialysis, yet translation of evidence into routine practice remains uneven across settings. To inform health system planning and implementation priorities, we mapped global research on hemodialysis-related nutrition. Methods: We searched the Web of Science Core Collection for English-language original articles on nutrition and hemodialysis from 1 January 2006 to 13 October 2025. Publication trends, productivity by country and institution, influential journals and authors, citation impact, and conceptual structure via Keyword Plus co-occurrence, trend, and thematic evolution analyses were assessed using the bibliometrix package (version 5.0) in R. Results: A total of 332 articles from 115 journals were identified, with substantial growth and multidisciplinary authorship, though international collaboration remains limited. The United States contributed 21.4% of publications and achieved the highest citation impact, while China, Japan, Iran, and Brazil formed the next tier of contributors. The Journal of Renal Nutrition accounted for 16.6% of papers. Highly cited studies established links between dietary intake, mineral and electrolyte management, and survival, while supporting the use of intradialytic oral nutritional supplements. Thematic evolution showed a shift from biochemical markers toward patient-centered priorities, including diet quality, adherence, body composition, mental health, and quality of life. Emerging directions point to whole-diet approaches and microbiome-modulating strategies. Conclusions: Global research on diet and hemodialysis has progressed from foundational nutrient studies to multidimensional, patient-focused approaches. Our findings suggest opportunities for health systems to strengthen dietitian-led models of care, integrate patient-reported outcomes, and prioritize scalable nutrition interventions within routine dialysis services.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.061 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.141 | 0.232 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".