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Record W4389522069 · doi:10.3329/bjmm.v17i2.69525

Risk of Diabetes Mellitus in Carotid Artery Involvement Among Coronary Artery Disease Patients Including History of Infection and Antibiotics Uses

2023· article· en· W4389522069 on OpenAlexaff
AKM Mustafizur Rahman, Farzana Sharmin, Mujammel Haque, Kaspia Khan, Mohammad Nazmul Karim

Bibliographic record

VenueBangladesh Journal of Medical Microbiology · 2023
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Disease and Adiposity
Canadian institutionsToronto Public Health
Fundersnot available
KeywordsMedicineDiabetes mellitusCoronary artery diseaseInternal medicineCardiologyBlood sugarSurgeryEndocrinology

Abstract

fetched live from OpenAlex

Background: Diabetes mellitus causes involvement of coronary artery diseases. Objective: The purpose of the present study was to determine the risk of diabetes mellitus in the involvement of carotid artery among coronary artery disease patients. Methodology: This case-control study was conducted in the Department of Cardiology at Bangabandhu Sheikh Mujib Medical University, Dhaka, Bangladesh from July 2013 to June 2015 for a period of two years. Patients who had coronary artery diseases or ischemic heart diseases and diabetes mellitus undergoing coronary angiography were selected as case of this study. In control group, age, sex match patients of IHD undergoing CAG not having DM were included. Every patient was clinically examined by detailed history and physical examination during entry into study. ECG, chest X-ray, echocardiogram, blood sugar (fasting), blood 2 hrs. after 75 gm of glucose and or breakfast were analyzed. Coronary angiography was done in all patients through femoral approach by modified Seldinger technique. Carotid arteriography was performed selective and non­selective method by Hunter head or right Judkin's catheter in standard AP, lateral and oblique views. Results: A total number of 100 patients were included in this study. Of them 50 patients were coronary artery disease with diabetes mellitus and another 50 patients were coronary artery disease without diabetes mellitus. The mean height of the DM was 163.4±8.5 cm and in NDM was 160.6±7.1 cm, mean weight of DM 63.5±7.2 kg, in NDM was 62.0±15.4 kg and mean BMI in DM was 26.24±2.36 kg/m2 and in NDM was 26.38±2.05 kg/m2. The mean total cholesterol in DM was 236.9±34.1 mg/dL and in NDM was 208.0±36.4 mg/dL, mean serum TG in DM 240.5±76.3 mg/dl and in NDM was 207.6±57.8 mg/dl and mean serum IDL in DM was 166.1±130.6 mg/dL and in NDM was 142.8±30.4 mg/dL, no significant mean difference was observed between DM and NDM in height, weight and BMI (P>0.05). Concussion: In conclusion, significant mean difference is observed between DM and NDM in total cholesterol, serum triglycerides. Bangladesh Journal of Medical Microbiology, July 2023;17 (2):82-87

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.432

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.236
Teacher spread0.221 · 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; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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