Evidence map›Paper›PMID 36854582›Full record

ArticleBMJ open2023

Prevalence and risk factors of chronic kidney disease among patients with type 2 diabetes mellitus at a tertiary care hospital in Nepal: a cross-sectional study.

Rinku Joshi, Prativa Subedi, Gopal Kumar Yadav, Sitaram Khadka, Thaneshwar Rijal, Kapil Amgain, Sabin Rajbhandari

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.0field-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

13 citing papers in PubMed, 20 citations in OpenAlex.

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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 3 institutions in 1 country.

Rinku JoshiDepartment of Internal Medicine, Shree Birendra Hospital; Nepalese Army Institute of Health Sciences, Kathmandu, Nepal.
Prativa SubediDepartment of Emergency Medicine and General Practice, Rolpa District Hospital, Rolpa, Nepal.
Gopal Kumar YadavDepartment of Internal Medicine, BP Koirala Institute of Health Sciences, Dharan, Nepal.ORCID 0000-0002-2195-9152
Sitaram KhadkaDepartment of Pharmacy, Shree Birendra Hospital; Nepalese Army Institute of Health Sciences, Kathmandu, Nepal sitaram.khadka@naihs.edu.np.ORCID 0000-0002-0251-3817
Thaneshwar RijalDepartment of Anesthesia, Shree Birendra Hospital; Nepalese Army Institute of Health Sciences, Kathmandu, Nepal.
Kapil AmgainDepartment of Human Anatomy and Cell Biology, Karnali Academy of Health Sciences, Jumla, Nepal.
Sabin RajbhandariDepartment of Internal Medicine, Shree Birendra Hospital; Nepalese Army Institute of Health Sciences, Kathmandu, Nepal.
Bir Hospital · NPB.P. Koirala Institute of Health Sciences · NPKarnali Academy of Health Sciences · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo estimate the prevalence of chronic kidney disease (CKD) among patients with type 2 diabetes mellitus (T2DM) and determine the sociodemographic and clinical risk factors associated with CKD. DESIGN AND SETTINGS: Cross-sectional study among diabetic outpatients of a tertiary hospital in Nepal.

participants201 patients with T2DM above 18 years of age.

interventionParticipants completed a questionnaire regarding their socioeconomic information and underwent pertinent physical and haematological examinations. PRIMARY AND SECONDARY OUTCOMES MEASURE: The prevalence and risk factors of CKD among patients with T2DM.

resultsThe prevalence of CKD in T2DM was 86.6%. In univariable analysis, the variables like age (p=0.026), hypertension status (p=0.002), duration of diabetes (p=0.009) and haemoglobin levels (p=0.027) were significantly associated with CKD among the participants with T2DM. Kruskal-Wallis H test showed that age was significantly different between various CKD stages. Multivariate analysis demonstrated a significant relationship between CKD with age (Adjusted odds ratio (AOR) 3, 95% CI 1.1 to 8.8) and literacy status (AOR 5.8, 95% CI 1.4 to 24.6)

conclusionAdvancing age, concomitant hypertension, increasing duration of T2DM and presence of anaemia were found to be important risk factors of CKD. Age is the most important predictor of CKD showing increasing prevalence in the elderly population. Periodic screening tests are essential at an early age to identify kidney diseases at incipient stages, thereby preventing progression to end-stage renal disease.

Indexed as

Diabetes Mellitus, Type 2HypertensionRenal Insufficiency, ChronicAgedCross-Sectional StudiesHumansNepalOutpatientsPrevalenceRisk FactorsTertiary Care Centersdiabetes & endocrinologyinternal medicinenephrology

Identifiers

PMID36854582
PMCPMC9980322
OpenAlexW4322626097

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.