Evidence map›Paper›PMID 32968405›Full record

ArticlePakistan journal of medical sciences

HbA1c - A predictor of dyslipidemia in type 2 Diabetes Mellitus.

Saera Suhail Kidwai, Ayesha Nageen, Farhat Bashir, Jamal Ara

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Glycemic Control and Cardiometabolic Risk in Black Zimbabweans with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. The Assessment Metabolic Markers and Cardio Risk Index Among Controlled and Uncontrolled Type 2 Diabetic Patients in Primary Health Clinics in Medan City, North Sumatera, Indonesia: Cross-sectional Study.Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH · 2022
    Article
  12. Article
  13. Beneficial effects of MgSOMolecular biology reports · 2022
    Article
  14. Antihyperglycemic and Lipid Profile Effects ofMolecules (Basel, Switzerland) · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Saera Suhail KidwaiProf. Saera Suhail Kidwai, MCPS, FCPS (Internal Medicine), Department of Medicine, United Medical and Dental College, Karachi, Pakistan.
Ayesha NageenAyesha Nageen, FCPS (Internal Medicine). Assistant Professor, Department of Medicine, United Medical and Dental College, Karachi, Pakistan.
Farhat BashirProf. Farhat Bashir, MCPS, FCPS (Internal Medicine). Department of Medicine, United Medical and Dental College, Karachi, Pakistan.
Jamal AraJamal Ara, FCPS. (Internal Medicine), M.Phil (UK). Head of Medicine Department, Department of Medicine, United Medical and Dental College, Karachi, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study was aimed to determine the predictive value of HbA1c in detecting dyslipidemia in patients with Type-2 Diabetes Mellitus.

methodsA total of 142 consecutive patients of Type-2 diabetes mellitus were recruited in this study after informed consent. The study was conducted for 6 months from January 2019 - June 2019 in Creek General Hospital, Korangi, Creek, Karachi. Demographic data and detailed history was taken. A complete systemic examination was done for any complications or co-morbids present and related investigations were performed including Fasting lipid profile (CHO, TG's, HDL, LDL, CHO/HDL), serum HbA1c, Creatinine and ECG. Data is analyzed on SPSS 16 for mean, frequencies and correlations. Pearsons Chi square test is used for analyses of Correlation.

resultsIn a total of 142 Type-2 diabetic patients 39(27.5%) were Males and 103(72.5%) were females with a male to female ratio of 1: 2.6. Mean age was 54.9yrs ± 10.7SD. Mean duration of diabetes was 7.37yrs ±5.64 SD years. Mean BMI is 26.8 ± 3.67kg/m2. 27(19.01%) patients had HbA1c ≤ 7% whereas 115(80.9%) had >7%. 81(57.04%) patients had dyslipidemia. HbA1c exhibited direct correlations with BMI, cholesterol, TG's and LDL and inverse correlation with HDL with significant P value of <.05. TG's were found significantly higher in females when compared with male patients. In addition, Metabolic syndrome also showed a strong correlation with increasing HbA1c levels especially in female gender (P0.001).

conclusionThe results of our study indicates that HbA1c can be used not only as a useful biomarker of long-term glycaemic control but also a good predictor of lipid profile.

Indexed as

DyslipidemiaHbA1cLipid ProfileType 2 Diabetes mellitus

Identifiers

PMID32968405
PMCPMC7501047

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.