Predictive value of serum adiponectin and hemoglobin levels for vascular cognitive impairment in ischemic stroke patients
Bibliographic record
Abstract
Objectives: To investigate the potential predictive value of serum adiponectin (APN) and hemoglobin (Hb) levels for the occurrence of vascular cognitive impairment in ischemic stroke patients. Methods: Eighty ischemic stroke patients, admitted to our hospital between June 2019 and November 2020, were retrospectively divided into no cognitive impairment (NCI) group (n=43) and cognitive impairment (CI) group (n=37) based on Montreal Cognitive Assessment (MoCA) scale scoring at three months follow-up. ELISA was used to assess serum Hb and APN levels and receiver operating characteristic (ROC) curves were created to evaluate correlation. Results: Serum APN and Hb levels were lower in the vascular cognitive impairment group compared to non-impaired counterparts. Pearson correlation analysis showed that both APN and Hb levels were positively correlated with MoCA scores. Area under curve analysis indicated predictive value for serum APN and Hb for predicting cognitive impairment in ischemic stroke patients. Conclusion: Serum APN and Hb levels in ischemic stroke patients have value for predicting vascular cognitive impairment and may be suitable for helping dictate treatment planning. doi: https://doi.org/10.12669/pjms.38.3.5204 How to cite this:Li Z, Zhu M, Meng C, Lin H, Huang L. Predictive value of serum adiponectin and hemoglobin levels for vascular cognitive impairment in ischemic stroke patients. Pak J Med Sci. 2022;38(3):705-710. doi: https://doi.org/10.12669/pjms.38.3.5204 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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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 | 0.003 | 0.001 |
| 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".