Evidence map›Paper›PMID 36307490›Full record

ArticleScientific reports2022

High prevalence of chronic kidney disease and its related risk factors in rural areas of Northeast Thailand.

Ubon Cha'on, Patcharaporn Tippayawat, Nattaya Sae-Ung, Porntip Pinlaor, Wichien Sirithanaphol, Ampornpan Theeranut, Kriang Tungsanga, Prathana Chowchuen, Amod Sharma, Supakit Boonlakron and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
4.2field-weighted citation impact, top 5% 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, 30 citations in OpenAlex.

  1. Article
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  3. Alleles ofPeerJ · 2025
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  11. Heliyon · 2023
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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

11 authors at 3 institutions in 1 country.

Ubon Cha'onDepartment of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Patcharaporn TippayawatChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Nattaya Sae-UngChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Porntip PinlaorChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Wichien SirithanapholDepartment of Surgery, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Ampornpan TheeranutFaculty of Nursing, Khon Kaen University, Khon Kaen, Thailand.
Kriang TungsangaDepartment of Medicine, Faculty of Medicine, King Chulalongkorn Memorial Hospital, Chulalongkorn University, Bangkok, Thailand.
Prathana ChowchuenDepartment of Radiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Amod SharmaChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand.
Supakit BoonlakronInstitute of Dermatology, Department of Medical Services, Ministry of Public Health, Bangkok, Thailand.
Sirirat AnutrakulchaiChronic Kidney Disease Prevention in the Northeast of Thailand (CKDNET) Project, Khon Kaen University, Khon Kaen, Thailand. sirirt_a@kku.ac.th.
Khon Kaen University · THChulalongkorn University · THMinistry of Public Health · TH

Funding

Khon Kaen University CKDNET 2017, 2018, 2019National Research Council of Thailand NRCT 2020Thailand Science Research and Innovation (TSRI) C10F630030
6 · The paper itself

Abstract

In Thailand, chronic kidney disease (CKD) screening was reported in 2009 with an overall prevalence of 17.5% and the highest at 22.2% in the northeastern region. This study aimed to find out CKD prevalence of the Kidney Disease Improving Global Outcomes criteria and their related risk factors in the rural community. A population-based study was conducted in the rural sub-districts of northeastern Thailand. Data of socio-demographic status, lifestyle, underlying diseases, blood pressure, and body mass index were recorded. Blood and urine analysis was conducted along with ultrasonography of kidneys. Specimen collection and analyses were repeated after 3 months, and the factors associated with CKD were studied by logistic regression analysis. A total of 2205 participants with a mean age of 57.8 ± 11.7 years and female predominance (66.7%) completed the study. The prevalence of CKD was 26.8%, i.e., stages 1 (7.3%); stage 2 (9.0%); stage 3a (6.0%); stage 3b (2.8%); stage 4 (1.4%); and stage 5 (0.3%). Hypertension, diabetes mellitus, and renal stones were the major underlying diseases. Only 3.5% of the participants were aware of having CKD. An increase in age, male, unemployment, current smoking, diabetes, hypertension, underweight, anemia, hyperuricemia, and leukocytosis were significantly associated factors with the disease. The study revealed that CKD has developed as a significant public health problem in rural northeastern Thailand and one out of every four people has CKD. Therefore, early interventions are essential for the proper management and prevention of CKD.

Indexed as

Diabetes MellitusHypertensionRenal Insufficiency, ChronicAgedFemaleHumansMaleMiddle AgedPrevalenceRisk FactorsThailand

Identifiers

PMID36307490
PMCPMC9616930
OpenAlexW4307475726

What Socratic holds

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LicenceCC BY
Read underepoch 390

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 Socratic graph.