Different patterns of brain iron deposition exist in peritoneal dialysis and hemodialysis patients with cognitive impairment
Bibliographic record
Abstract
BACKGROUND: The incidence of cognitive impairment in patients with peritoneal dialysis (PD) and hemodialysis (HD) has been increased, but the specific mechanism is not clear. Disruption of iron homeostasis is associated with cognitive impairment. This study aimed to explore the relationship between brain iron deposition and cognitive impairment in patients with PD and HD by using quantitative susceptibility mapping (QSM). METHODS: The cross-sectional study enrolled 56 PD patients, 66 HD patients, and 56 age-sex matched healthy controls. All participants underwent QSM to measure brain iron content and Montreal Cognitive Assessment (MoCA) to assess cognitive function. In addition, relevant biochemical indicators were collected and analyzed. The ANOVA was used to test for differences in susceptibility value among bilateral caudate nuclei (CAU), thalamus (THA), putamen and pallidum. Pearson correlation analysis was performed to investigate the relationships between susceptibility value and clinical laboratory parameters or MoCA score. RESULTS: Compared with HC, PD patients showed higher susceptibility value in bilateral CAU and left THA. Compared with HD patients, PD patients showed higher susceptibility value in left THA. PD patients showed a negative correlation between susceptibility value and MoCA score. CONCLUSION: There are different patterns of brain iron deposition in PD and HD patients. Abnormal brain iron deposition in PD patients may be associated with cognitive impairment.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".