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Record W3180324452 · doi:10.7454/jpdi.v8i2.456

Hubungan Kadar Proprotein Convertase Kexin/Type 9 (PCSK9) dengan Aterosklerosis pada Penyandang Diabetes Melitus Tipe 2: Sebuah Telaah Sistematis

2021· article· id· W3180324452 on OpenAlexaboutno aff
Farissa Luthfia, Wismandari Wisnu, Dicky L. Tahapary, Pringgodigdo Nugroho

Bibliographic record

VenueJurnal Penyakit Dalam Indonesia · 2021
Typearticle
Languageid
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsnot available
Fundersnot available
KeywordsGynecologyMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Pendahuluan. Diabetes melitus (DM) tipe 2 merupakan salah satu faktor risiko penyakit kardiovaskular dengan peningkatan low density lipoprotein sebagai mekanisme utama terjadinya aterosklerosis. PCSK9 adalah regulator reseptor LDL utama sehingga kaitannya dengan aterosklerosis saat ini sedang banyak diteliti. Beberapa studi mengenai hubungan kadar PCSK9 dengan aterosklerosis pada penyandang DM tipe 2 telah tersedia namun bersifat inkonsisten. Untuk itu, telaah penelitian ini dilakukan untuk menelaah lebih lanjut mengenai hubungan kadar PCSK9 dengan aterosklerosis pada pasien DM tipe 2 secara sistematis. Metode. Penelitian ini berbentuk telaah sistematis yang telah didaftarkan di PROSPERO. Penelusuran pustaka sesuai panduan PRISMA dilakukan pada tanggal 18 Juli – 02 September 2020. Setelah dilakukan penilaian risiko bias dengan Newcastle Ottawa scale, kemudian dilakukan telaah naratif pada pustaka yang didapatkan oleh dua penilai independen. Hasil. Didapatkan empat studi yang relevan dengan total subjek 430. Tiga studi memiliki kategori kualitas tinggi sementara satu studi dengan kualitas sedang. Hubungan antara kadar PCSK9 dengan aterosklerosis pada penyandang DM tipe 2 didapatkan pada studi oleh Guo, dkk. dengan nilai OR: 1,12 (IK 95% 1,041 – 1,204), p: 0,002 dan studi oleh Ma, dkk. dengan p<0,05. Sementara dua studi lainnya melaporkan tidak ada hubungan antara kadar PCSK9 dengan aterosklerosis pada penyandang DM tipe 2. Cheng, dkk. melaporkan nilai β: 1,08 (IK 95% -0,59 -2,75) dan Xie, dkk. melaporkan nilai p=0,334 (IK 95% -18 – 10). Simpulan. Belum ada bukti yang cukup untuk menjelaskan hubungan antara PCSK9 dengan aterosklerosis pada pasien DM tipe 2 sehingga dibutuhkan penelitian primer yang bersifat longitudinal. Kata Kunci: Aterosklerosis, DM tipe 2, PCSK9 Association of Proprotein Convertase Kexin/Type 9 with Atherosclerosis in People with Type 2 Diabetes Mellitus: a Systematic Review Introduction. Type 2 diabetes melitus is the leading cause of cardiovascular event with high level of low-density lipoprotein as the main predictor marker of atherosclerosis. PCSK9 plays a role in LDL-receptor regulation, its association with atherosclerosis had been investigated but the result is inconsistent. This study aimed to examine the association between PCSK9 level and atherosclerosis in people with type 2 diabetes. Methods. A systematic review was done in July 18 – September 02, 2020 and registered in PROSPERO. Risk of bias of each study was analyzed with Newcastle Ottawa scale tools. Studies involved in this systematic review then narratively analyzed by two independent reviewers. Results. There are 430 subjects involved from 4 studies. Guo, et al. reported that there was a significant association between PCSK9 level with atherosclerosis in type 2 diabetes melitus (OR: 1.12 (CI 95% 1.041 – 1.204), p: 0.002), those association was also reported by Ma, et al. with p value <0.05. While a different result came from Xie, et al. (p: 0.334 (CI 95% -18 – 10) and Cheng, et al. (: 1.08 (IK 95% -0.59 -2.75). Conclusions. There is still insufficient evidence that show the association between PCSK9 level and atherosclerosis in type 2 DM. Therefore, longitudinal primary research is needed.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.225
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.001

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 head0.017
GPT teacher head0.249
Teacher spread0.232 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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