Evidence map›Paper›PMID 31578037›Full record

ArticlePediatric research2020

Evaluation of administrative case definitions for chronic kidney disease in children.

Allison Dart, Mariette Chartier, Paul Komenda, Randy Walld, Ina Koseva, Charles Burchill, Navdeep Tangri

Abstract readComparative StudyValidation Study
PubMed Publisher
In one paragraph

Article in Pediatric research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Beyond Childhood: The Lifelong Kidney Risks for Children with Posterior Urethral Valves.Journal of the American Society of Nephrology : JASN · 2024
    Article
  5. Long-Term Kidney Outcomes after Pediatric Acute Kidney Injury.Journal of the American Society of Nephrology : JASN · 2024
    Article
  6. Article
  7. Leveraging Electronic Health Record to Monitor Progression of Kidney Disease in Children.Clinical journal of the American Society of Nephrology : CJASN · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Inpatient Pediatric CKD Health Care Utilization and Mortality in the United States.American journal of kidney diseases : the official journal of the National Kidney Foundation · 2021
    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.

Allison DartUniversity of Manitoba, Winnipeg, MB, R3T 2N2, Canada. adart@hsc.mb.ca.
Mariette ChartierUniversity of Manitoba, Winnipeg, MB, R3T 2N2, Canada.
Paul KomendaUniversity of Manitoba, Winnipeg, MB, R3T 2N2, Canada.
Randy WalldManitoba Center for Health Policy, Winnipeg, MB, Canada.
Ina KosevaManitoba Center for Health Policy, Winnipeg, MB, Canada.
Charles BurchillManitoba Center for Health Policy, Winnipeg, MB, Canada.
Navdeep TangriUniversity of Manitoba, Winnipeg, MB, R3T 2N2, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAdministrative data is increasingly used for chronic disease surveillance; however, its validity to define cases of chronic kidney disease (CKD) in children is unknown. We sought to evaluate the performance of case definitions for CKD in children.

methodsWe utilized population-based administrative data from the Manitoba Center for Health Policy to evaluate the validity of algorithms based on a combination of hospital claims, outpatient physician visits, and pharmaceutical use over 1-3 years in children <18 years of age. Algorithms were compared with a laboratory-based definition (estimated glomerular filtration rate < 90 ml/min/1.73 m

resultsAll algorithms evaluated had very low sensitivity (0.20-0.39) and moderate positive predictive value (0.52-0.68). Algorithms had excellent specificity (0.98-0.99) and negative predictive value (0.96-0.97). Receiver operating characteristic (ROC) curves indicate fair accuracy (0.60-0.68). Sensitivity improved with increasing years of data. One or more physician claims and one or more prescriptions over 3 years had the highest sensitivity and ROC.

conclusionsThe sensitivity of administrative data algorithms for CKD is unacceptably low for a screening test. Specificity is excellent; therefore, children without CKD are correctly identified. Alternate data sources are required for population-based surveillance of this important chronic disease.

Indexed as

Administrative Claims, HealthcareAlgorithmsData MiningAdolescentAge FactorsChildChild, PreschoolChronic Disease IndicatorsData AccuracyDatabases, FactualDrug PrescriptionsFemaleGlomerular Filtration RateHumansInfantKidney

Identifiers

What OpenQuestion holds

Textmetadata
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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 OpenQuestion graph.