Plasma Gelsolin and Its Association with Mortality and Hospitalization in Chronic Hemodialysis Patients
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Human plasma gelsolin (pGSN) is an actin-binding protein that is secreted into the extracellular fluid, with the skeletal muscle and myocardial tissues being its major source. Depletion of pGSN has been shown to be related to a variety of inflammatory and clinical conditions. METHODS: pGSN levels were prospectively determined in prevalent maintenance hemodialysis (HD) patients from 3 U.S. dialysis centers. Demographics (age, time since dialysis initiation, race, gender, body height and weight, comorbidities), inflammatory markers (C reactive protein, CRP; interleukin 6, IL-6), free triiodothyronine (fT3), and routine laboratory parameters were obtained. We performed Kaplan-Meier and Cox proportional hazard survival analysis for all-cause and cardiovascular mortality, and recurrent event survival analysis for hospitalization. RESULTS: We studied 153 patients; mean age was 60.5 ± 14.7; 52% were males. The mean pGSN level was 6,617 ± 1,789 mU/ml. In univariate analysis, pGSN was positively correlated with body mass index (r = 0.2, p = 0.01), pre-HD serum albumin (r = 0.247, p = 0.002), and pre-HD serum creatinine (r = 0.381, p < 0.001), and inversely with age (r = -0.286, p < 0.001), CRP (r = -0.311, p < 0.001), and IL-6 (r = -0.317, p < 0.001). In the adjusted analysis, the associations with CRP and creatinine were retained. pGSN levels tended to be lower in patients who died (p = 0.08). There was no association with all-cause or cardiovascular mortality, or all-cause hospitalization. Of note, fT3 was lower in patients who died (p = 0.001). CONCLUSIONS: Even though pGSN was inversely correlated with age, CRP and IL-6, suggesting that inflammation may influence pGSN, lower pGSN levels were not associated with hospitalization, all-cause and cardio-vascular mortality in this patient population.
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.
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 it