ArticleKidney medicine
CKD Prevalence in the Military Health System: Coded Versus Uncoded CKD.
Article in Kidney medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- Identifying and Characterising a Chronic Kidney Disease Electronic-Phenotype Using Electronic Health Record-Derived Data: A Narrative Review of Strategies and Applications.Nephrology (Carlton, Vic.) · 2025Review
- Coded and uncoded chronic kidney disease: an explainer.The British journal of general practice : the journal of the Royal College of General Practitioners · 2025Article
- Identifying a cohort of hospitalized chronic kidney disease patients using electronic health records: lessons learnt and implications for future research and clinical practice guidelines.Clinical kidney journal · 2025Article
- Review
- Electronic Phenotype for Advanced Chronic Kidney Disease in a Veteran Health Care System Clinical Database: Systems-Based Strategy for Model Development and Evaluation.Interactive journal of medical research · 2023Article
- Development and Validation of a Lifetime Risk Model for Kidney Failure and Treatment Benefit in Type 2 Diabetes: 10-Year and Lifetime Risk Prediction Models.Clinical journal of the American Society of Nephrology : CJASN · 2022Article
- Prevalence and Characteristics of CKD in the US Military Health System: A Retrospective Cohort Study.Kidney medicine · 2022Article
- From Dropsy to Chart Biopsy: Opportunities and Pitfalls of Electronic Health Records.Kidney360 · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
RATIONALE &
objectiveChronic kidney disease (CKD) is common but often goes unrecorded. STUDY
designCross-sectional. SETTING &
participantsMilitary Health System (MHS) beneficiaries aged 18 to 64 years who received care during fiscal years 2016 to 2018. PREDICTORS: Age, sex, active duty status, race, diabetes, hypertension, and numbers of kidney test results. OUTCOMES: We defined CKD by ANALYTICAL APPROACH: We compared coded and uncoded populations using 2-tailed
resultsThe MHS population included 3,330,893 beneficiaries. Prevalence of CKD was 3.2%, based on LIMITATIONS: Use of cross-sectional administrative data prevents inferences about causality. The CKD e-phenotype may fail to capture CKD in individuals without laboratory data and may underestimate CKD.
conclusionsThe prevalence of CKD in the MHS is ~3.2%. Beneficiaries with well-known CKD risk factors, such as older age, male sex, Black race, diabetes, and hypertension, were more likely to be coded, suggesting that clinicians may be missing CKD in groups traditionally considered lower risk, potentially resulting in suboptimal care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.