Evidence map›Paper›PMID 42152438›Full record

ArticleBMJ open2026

Validation of the kidney failure risk equation and its impact on referral strategies for chronic kidney disease: protocol for a retrospective cohort study using national claims and laboratory data in Thailand.

Jeerath Phannajit, Chirod Narkpaichit, Chaisiri Angkurawaranon, Chanchanok Aramrat, Faye Cleary, Rupert W Major, Warangkana Pichaiwong, Sirirat Anutrakulchai, Kearkiat Praditpornsilpa, Hugo C Turner and 1 more

Abstract readValidation Study
In one paragraph

Article in BMJ open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jeerath PhannajitMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK jeerath.p@chula.ac.th.ORCID http://orcid.org/0000-0002-3524-6292
Chirod NarkpaichitNational Health Security Office, Bangkok, Thailand.
Chaisiri AngkurawaranonFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.ORCID http://orcid.org/0000-0003-4206-9164
Chanchanok AramratFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.
Faye ClearyMedical Research Council Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Rupert W MajorSchool of Medical Sciences - Public Health and Epidemiology Division (SAPPHIRE Group), University of Leicester College of Life Sciences, Leicester, UK.
Warangkana PichaiwongNephrology Division, Department of Medicine, Rajavithi Hospital, College of Medicine, Rangsit University, Bangkok, Thailand.
Sirirat AnutrakulchaiFaculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Kearkiat PraditpornsilpaDivision of Nephrology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Hugo C TurnerMRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, UK.
Dorothea NitschFaculty of Medicine, Chiang Mai University, Chiang Mai, Thailand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionChronic kidney disease (CKD) is highly prevalent in Thailand and imposes a growing burden on the health system, driven by limited nephrology capacity and high rates of unplanned dialysis. The kidney failure risk equation (KFRE) estimates the risk of progression to kidney failure (KF) on age, sex, estimated glomerular filtration rate (eGFR) and urine albumin-to-creatinine ratio. This study aims to validate and, if required, recalibrate the four-variable KFRE for the Thai population and to assess the potential impact of KFRE-guided referral strategies on clinical care and health system performance. METHODS AND ANALYSIS: We will conduct a retrospective cohort study using linked, de-identified national health databases covering approximately 70% of the Thai population. Adult patients with CKD stages 3-5 will be included. KFRE performance will be evaluated at 2 and 5 years for discrimination and calibration. If miscalibration is identified, the model will be recalibrated using Cox-based methods. Simulations (1000 iterations) indicated that approximately 920 KF events by 5 years would be required to achieve the target standard errors for the calibration slope. A subsequent impact analysis will compare KFRE-guided referral with current Thai CKD guideline criteria and real-world practice using a decision-tree and Markov modelling framework. ETHICS AND DISSEMINATION: Ethical approval was obtained from the Ethics Committee of the Institute for the Development of Human Research Protections, Thailand (COA No. IHRP2025110), Imperial College London and the London School of Hygiene and Tropical Medicine. The requirement for informed consent was waived due to the use of anonymised secondary data. Findings will be disseminated through peer-reviewed publications, conferences and policy briefs to supplement evidence-based referral strategies and health system planning.

Indexed as

Kidney Failure, ChronicReferral and ConsultationRenal Insufficiency, ChronicAdultCreatinineDisease ProgressionFemaleGlomerular Filtration RateHumansMaleResearch DesignRetrospective StudiesRisk AssessmentThailandCreatinineChronic renal failureClinical Decision-MakingHealth economicsHealth policyRisk Assessment

Identifiers

PMID42152438
PMCPMC13182311

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LicenceCC BY
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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.