Evidence map›Paper›PMID 35211627›Full record

ArticleJournal of diabetes research2022

Retinopathy among Adult Diabetics and Its Predictors in Northwest Ethiopia.

Mulualem Birhan Takele, Dube Jara Boneya, Hailemariam Abiy Alemu, Tesfa Birlew Tsegaye, Molla Yigzaw Birhanu, Simegn Alemu, Tsige Gebre Anto

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of diabetes research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 5 pooled it
3.7field-weighted citation impact, top 6% of its field
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

12 citing papers in PubMed, 5 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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

7 authors at 2 institutions in 1 country.

Mulualem Birhan TakeleSimada Health Center, Simada District, South Gondar Zone, Amhara Regional State, Ethiopia.
Dube Jara BoneyaDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia PO. Box 269.
Hailemariam Abiy AlemuDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia PO. Box 269.ORCID https://orcid.org/0000-0002-2985-0805
Tesfa Birlew TsegayeDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia PO. Box 269.ORCID https://orcid.org/0000-0003-3745-173X
Molla Yigzaw BirhanuDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia PO. Box 269.ORCID https://orcid.org/0000-0001-6286-446X
Simegn AlemuDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia PO. Box 269.ORCID https://orcid.org/0000-0003-0483-3221
Tsige Gebre AntoDepartment of Public Health, College of Health Sciences, Debre Markos University, Debre Markos, Ethiopia PO. Box 269.ORCID https://orcid.org/0000-0002-6763-3182
Debre Markos University · ETAmhara Regional Health Bureau · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiabetic retinopathy is the leading cause of blindness among working-aged adults worldwide, including developing countries such as Ethiopia, and the burden of diabetes-related blindness is undeniably posing a massive challenge to the health care system. Diabetes and its micro- and macrovascular complications are becoming more prevalent among Ethiopian diabetics. For that reason, the purpose of this study was to assess the incidence of diabetic retinopathy and its predictors among diabetics in Ethiopia.

methodsA hospital-based retrospective cohort study was conducted using 494 randomly selected diabetics aged above 18 years at Felege Hiwot Comprehensive Specialized Hospital from 2011 through 2014 and was followed until December 2019. The preliminary and longitudinal data was abstracted into demographics, clinical, and physiological attributes using a standardized structured questionnaire. The collected data was entered into the system using EpiData version 4.2 and analyzed using STATA version 14.0. The survival experience of the patients was assessed using the Kaplan-Meier survivor function. The predictors of diabetic retinopathy were identified by the Cox proportional hazard model. Bivariable and multivariable Cox proportional hazard models were computed, and variables having a

resultsDuring the follow-up, the overall incidence rate of diabetic retinopathy was 48 per 1000 person-years (95% CI: 40.0-57.0). Age in years (AHR 1.02; 95% CI: 1.00-1.04), fasting blood sugar level (AHR 1.02; 1.00-1.04), hypertension (AHR 2.61; 95% CI: 1.47-4.63), DM patients who had LDL > 100 mg/dl (AHR 2.73; 95% CI: 1.32-5.64), total cholesterol > 200 mg/dl (AHR 2.22; 95% CI: 1.08-4.55), and positive proteinuria (AHR 1.74; 95% CI: 1.10 -2.73) were found to be the significant predictors of diabetic retinopathy.

conclusionThe overall incidence rate of diabetic retinopathy was found to be high in both type 1 and type 2 DM. Age, fasting blood sugar levels, hypertension, proteinuria, dyslipidemia, and high systolic blood pressure were all predictors of the development of diabetic retinopathy. Controlling glycemia, dyslipidemia, proteinuria, and blood pressure is critical for halting the progression of diabetic retinopathy.

Indexed as

AdultCohort StudiesDiabetes Mellitus, Type 2Diabetic RetinopathyEthiopiaHospitalsHumansIncidenceLongitudinal StudiesMaleMiddle AgedProportional Hazards ModelsRetrospective StudiesRisk Factors

Identifiers

PMID35211627
PMCPMC8863468
OpenAlexW4212849191

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.