Evidence map›Paper›PMID 29300375›Full record

ReviewGenetics in medicine : official journal of the American College of Medical Genetics2018

The cost and diagnostic yield of exome sequencing for children with suspected genetic disorders: a benchmarking study.

Nick Dragojlovic, Alison M Elliott, Shelin Adam, Clara van Karnebeek, Anna Lehman, Jill C Mwenifumbo, Tanya N Nelson, Christèle du Souich, Jan M Friedman, Larry D Lynd

Abstract readReview
PubMed Publisher
In one paragraph

Review in Genetics in medicine : official journal of the American College of Medical Genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

  1. Trial
  2. Article
  3. Genetic Diagnosis and Discovery Enabled by Large Language Models.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genetic Discovery Enabled by A Large Language Model.bioRxiv : the preprint server for biology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Genetic diagnosis for adult patients at a genetic clinic.Cold Spring Harbor molecular case studies · 2022
    Article
  20. 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

10 authors.

Nick DragojlovicCollaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Alison M ElliottDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Shelin AdamDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Clara van KarnebeekDepartment of Pediatrics, Centre for Molecular Medicine and Therapeutics, University of British Columbia, Vancouver, British Columbia, Canada.
Anna LehmanDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Jill C MwenifumboBC Children's Hospital Research Institute, Vancouver, British Columbia, Canada.
Tanya N NelsonDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Christèle du SouichDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Jan M FriedmanDepartment of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Larry D LyndCollaboration for Outcomes Research and Evaluation (CORE), Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, British Columbia, Canada. larry.lynd@ubc.ca.

Funding

CIHR 119193
6 · The paper itself

Abstract

purposeThis study aimed to generate benchmark estimates for the cost, diagnostic yield, and cost per positive diagnosis of diagnostic exome sequencing (ES) in heterogeneous pediatric patient populations and to illustrate how the design of an ES service can influence its cost and yield.

methodsA literature review and Monte Carlo simulations were used to generate benchmark estimates for singleton and trio ES. A cost model for the Clinical Assessment of the Utility of Sequencing and Evaluation as a Service (CAUSES) study, which is testing a proposed delivery model for diagnostic ES in British Columbia, is used to illustrate the potential effects of changing the service design.

resultsThe benchmark diagnostic yield was 34.3% (95% confidence interval (CI): 23.2-46.5) for trio ES and 26.5% (95% CI: 12.9-42.9) for singleton ES. The benchmark cost of delivery was C$6,437 (95% CI: $5,305-$7,704) in 2016 Canadian dollars (US$4,859; 4,391€) for trio ES and C$2,576 (95% CI: $1,993-$3,270) (US$1,944; 1,757€) for singleton ES. Scenario models for CAUSES suggest that alternative service designs could reduce costs but might lead to a higher cost per diagnosis due to lower yields.

conclusionBroad conclusions about the cost-effectiveness of ES should be drawn with caution when relying on studies that use cost or yield assumptions that lie at the extremes of the benchmark ranges.

Indexed as

BenchmarkingBritish ColumbiaChildChild, PreschoolCost-Benefit AnalysisExome SequencingFemaleGenetic TestingHumansMaleMonte Carlo MethodSequence Analysis, DNAcostcost-effectivenessdiagnostic yieldexome sequencingpediatric patients

Identifiers

PMID29300375

What OpenQuestion holds

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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.