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Record W2997320696 · doi:10.52386/neurona.v36i3.79

HUBUNGAN KADAR ZINK SERUM DENGAN DERAJAT NEUROPATI DIABETIK

2019· article· en· W2997320696 on OpenAlex
Udi Panata, Dodik Tugasworo, Amin Husni

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMajalah Kedokteran Neurosains Perhimpunan Dokter Spesialis Saraf Indonesia · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineInternal medicineTriglycerideDiabetes mellitusObservational studyMultivariate analysisGastroenterologyMann–Whitney U testCross-sectional studyBayesian multivariate linear regressionEndocrinologyLinear regressionCholesterolPathology

Abstract

fetched live from OpenAlex

THE ASSOCIATION BETWEEN SERUM ZINC LEVELS AND SEVERITY OF DIABETIC NEUROPATHYABSTRACTIntroduction: Diabetic neuropathy (DN) is one of the complications in diabetes mellitus (DM) that occurs frequently. This might be caused by deficiencies of trace elements, such as zinc, related to the complications. Zinc controls hyperglycemic factor and oxidative stress caused by hyperglycemia, which causes DN.Aim: To analyze the association between serum zinc levels and severity of DN in patients with type 2 DM.Methods: An observational analytical study with cross-sectional approach was conducted. Sixty subjects diagnosed with type 2 DM in the Neurology Clinic of Dr. Kariadi General Hospital, Semarang and HM Ashari General Hospital, Pemalang were scored using Toronto Clinical Scoring System (TCSS) to measure severity of DN. Characteristic data were analyzed descriptively. Categorical analysis were analyzed using Mann-Whitney method. The variables were also analyzed using Mann-Whitney test and unpaired t-test between Semarang and Pemalang Hospitals. Furthermore, all variables were tested for multivariate analysis using linear regression.Results: There were 60 subjects with a majority of females (63.3%) who suffer from DN (90%) and of 52.35±4.02 years old in age with duration of disease of 9.37±3.44 years. On average, the serum zinc levels were found normal, while average triglyceride and HbA1c levels were increased. It was observed that there were correlations among DN severity, serum zinc levels, duration of DM disease and serum triglyceride levels. In multivariate data analysis, the most significant relationship was found between triglyceride levels and duration of DM disease.Discussion: Hyperglycemia causes glucose accumulation in nerve tissues. In a long period of time, high blood glucose levels will damage the blood vessels walls that are directly related to nerves. Furthermore, in elderly patients, the amount of blood flow to peripheral nerves decreases. High triglyceride levels becomes a predictive factor that severely decreases myelin nerve fibers density. Whereas, zinc can prevent the decrease in motor nerve conduction speed.Keywords: DN, serum zinc levels, type 2 DMABSTRAKPendahuluan: Neuropati diabetik (ND) adalah salah satu komplikasi diabetes melitus (DM) yang lebih sering terjadi. Hal ini dapat disebabkan oleh defisiensi trace element akibat komplikasi diabetes, antara lain zink. Elemen ini mengendalikan faktor hiperglikemik dan stres oksidatif yang disebabkan oleh hiperglikemia, hingga menyebabkan ND.Tujuan: Menganalisis hubungan kadar zink serum dengan derajat ND pada pasien DM tipe 2, dan faktor-faktor lain yang memengaruhinya.Metode: Penelitian analitik observasional secara potong lintang terhadap pasien DM tipe 2 yang berobat di Po- liklinik Penyakit Saraf RSUP Dr. Kariadi, Semarang dan RSUD HM Ashari, Pemalang. Subjek dilakukan pengukuran derajat ND menggunakan Toronto Clinical Scoring System (TCSS). Data karakteristik dianalisis secara deskriptif. Analisis kategorikal menggunakan metode Mann-Whitney, pengujian antar variabel juga dengan Mann-Whitney dan uji t tidak berpasangan, serta uji multivariat menggunakan regresi linear.Hasil: Didapatkan 60 subjek yang mayoritas perempuan (63,3%) dan menderita ND (90%), serta rerata usia 52,35±4,02 tahun dan rerata durasi menderita DM 9,37±3,44 tahun. Rerata kadar serum zink dalam batas normal, namun rerata kadar trigliserida dan HbA1c meningkat. Didapatkan hubungan antara ND dengan kadar serum zink, durasi penyakit DM, dan kadar trigliserida serum. Dalam analisis data multivariat, hubungan tertinggi ditemukan antara kadar trigliserida dan durasi penyakit DM.Diskusi: Hiperglikemia menyebabkan akumulasi glukosa pada jaringan saraf. Jangka waktu yang cukup lama, kadar glukosa dalam darah akan merusak dinding pembuluh darah kapiler yang berhubungan langsung ke saraf, ditambah lagi pada usia lanjut terjadi penurunan aliran darah pada pembuluh darah yang menuju saraf tepi. Kadar trigliserida yang tinggi menjadi faktor prediktif penurunan secara dramatis pada masa jenis atau kepadatan serabut saraf mielin. Zink dapat mencegah penurunan kecepatan konduksi saraf motorik.Kata kunci: DM tipe 2, kadar zink serum, neuropati diabetik

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.589
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.001

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.

Opus teacher head0.004
GPT teacher head0.212
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it