Incidence of Peripheral Neuropathy in Major BetaThalassemia Patients at Hasan Sadikin General Hospital, Bandung, Indonesia
Bibliographic record
Abstract
Bakground. Beta major thalassemia is the most common inherited blood disorder worldwide. It can lead to various neurological complications such as peripheral neuropathy. Toronto Clinical Neuropathy Score (TCNS) is helpful for peripheral neuropathy screening especially in diabetes mellitus. Objective. To investigate the prevalence of peripheral neuropathy in beta major thalassemia patient using Toronto Clinical Neuropathy Score (TCNS). Method. A descriptive study on beta major thalassemia patients aged more than 14 years who regularly underwent blood transfusions in Hasan Sadikin General Hospital Bandung, from July to August 2017. Normal TCNS value was < 4, mild neuropathy 5-7, moderate neuropathy 8-10 and severe neuropathy > 10. Results. Sixty subjects met the inclusion criteria, 48.3% were male with the mean (SD) age of 20.7 ± 7.6 years. Mean hemoglobin value was 6.7 ± 0.9 g/dL and median (IQR) blood ferritin serum was 2873 (1900-3859) μg/L. Thirty-two subjects had neuropathy; 19 (31.7%) with mild neuropathy and 13 (21.6%) with moderate neuropathy. Conclusion. The incidence of peripheral neuropathy in patients with thalassemia according to TCNS score is fairly high. Latar Belakang. Talasemia beta mayor adalah kelainan darah bawaan paling umum di dunia dan dapat menyebabkan berbagai komplikasi, salah satunya neuropati perifer. Toronto Clinical Neuropathy Score (TCNS) dapat digunakan untuk penilaian neuropati perifer terutama pada pasien diabetes melitus. Objektif. Menyelidiki prevalensi neuropati perifer pada pasien talasemia beta mayor menggunakan Toronto Clinical Neuropathy Score (TCNS). Metode. Penelitian ini studi deskriptif skrining menggunakan TCNS pada pasien thalassaemia beta mayor berusia lebih dari 14 tahun yang secara teratur menjalani transfusi darah di Rumah Sakit Umum Hasan Sadikin Bandung, dari Juli hingga Agustus 2017. Nilai TCNS normal adalah <4, neuropati ringan 5-7, neuropati sedang 8-10 dan neuropati berat >10. Hasil. Sebanyak 60 subjek memenuhi kriteria inklusi, 48,3% laki-laki dengan usia rata-rata (SD) 20,7 ± 7,6 tahun. Nilai hemoglobin rata-rata 6,7 ± 0,9 g/dL dan serum ferritin darah median (IQR) adalah 2873 (1900-3859) μg/L. Tiga puluh dua subjek mengalami neuropati; 19 (31,7%) pasien dengan neuropati ringan dan 13 (21,6%) pasien dengan neuropati sedang. Simpulan. Insidens neuropati perifer pada pasien dengan thalasemia menurut skor TCNS cukup tinggi.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".