Effect of cognitive level on mastery of knowledge on arteriovenous fistula maintenance in maintenance hemodialysis patients
Bibliographic record
Abstract
Objective This study was to investigate effect of cognitive level on mastery of knowledge on arteriovenous fistula maintenance in maintenance dialysis(MHD) patients. Methods This study investigated 327 patients with MHD enrolled and completed all surveys of 201 patients. The survey included general patient information, a cognitive function assessment of the patient using the Montreal Cognitive Assessment(MoCA) scale and mastery of knowledge on arteriovenous fistula maintenance(using self-developed survey assessment scale). According to the MoCA score, 201 patients were divided into normal cognition group(NC group) and cognitive impairment group(CI group), and then the effect of cognitive function on mastery of the knowledge on arteriovenous fistula were observed. Results Among the enrolled 201 patients with MHD, the incidence of cognitive impairment in MHD patients was 56.2%. The mean of MoCA scores was(23.4±5.3) points. Patients in the NC group had significantly higher abilities of abstract thinking and delayed memory recall than the CI group(P<0.05). The age and dialysis age of patients with MHD in the CI group were significantly higher than those in the NC group, and the educational level was significantly lower than that in the NC group(P<0.05). In the MHD patients in the CI group, the proportion of patients, mastering knowledge on "how to deal with the problem of arteriovenous fistula", "the cause of hypotension", "how to evaluate whether the arteriovenous fistula area was infected", "how to monitor side limb skin and its temperature" and "how to monitor infection symptoms and physical signs of arteriovenous fistula", was significantly lower than that in the NC group(P<0.05). Conclusions The prevalence of cognitive impairment in patients with MHD is high, which may affect the patient’s mastery of knowledge on arteriovenous fistula maintenance. Clinicians should improve the recognition of cognitive dysfunction in patients with MHD and enhance their training in the maintenance of arteriovenous fistula.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".