Evidence mapPaperPMID 39269241Full record

SynthesisHealth technology assessment (Winchester, England)2024

Clinical and cost-effectiveness of clopidogrel resistance genotype testing after ischaemic stroke or transient ischaemic attack: a systematic review and economic model.

Joe Carroll, Catalina Lopez Manzano, Eve Tomlinson, Ayman Sadek, Chris Cooper, Hayley E Jones, Lorraine Rowsell, John Knight, Andrew Mumford, Rachel Palmer and 3 more

Abstract readSystematic Review
In one paragraph

Synthesis in Health technology assessment (Winchester, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Guideline
  2. Observational
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Review
  10. Review
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

13 authors.

Joe CarrollBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0009-0004-7006-0938
Catalina Lopez ManzanoBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0009-0009-8883-0167
Eve TomlinsonBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-0969-602X
Ayman SadekBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0009-0000-6565-0790
Chris CooperBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-0864-5607
Hayley E JonesBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-4265-2854
Lorraine RowsellPatient representative.
John KnightPatient representative.
Andrew MumfordSouth West NHS Genomic Medicine Service Alliance, UK.ORCID 0000-0002-5523-511X
Rachel PalmerSouth West NHS Genomic Medicine Service Alliance, UK.ORCID 0009-0006-6253-3330
William HollingworthBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0002-0840-6254
Nicky J WeltonBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-2198-3205
Penny WhitingBristol TAG, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.ORCID 0000-0003-1138-5682

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Stroke or transient ischaemic attack patients are at increased risk of secondary vascular events. Antiplatelet medications, most commonly clopidogrel, are prescribed to reduce this risk. Factors including Objective: To assess the effectiveness of genetic testing to identify clopidogrel resistance in people with ischaemic stroke or transient ischaemic attack. Specific objectives: Do people tested for clopidogrel resistance, and treated accordingly, have a reduced risk of secondary vascular events? Do people with loss-of-function alleles associated with clopidogrel resistance have a reduced risk of secondary vascular events if treated with alternative interventions compared to clopidogrel? Do people with loss-of-function alleles associated with clopidogrel resistance have an increased risk of secondary vascular events when treated with clopidogrel? What is the accuracy of point-of-care tests for detecting variants associated with clopidogrel resistance? What is the technical performance and cost of Design: Systematic review and economic model. Results: Objective 1: Two studies assessed secondary vascular events in patients tested for loss-of-function alleles and treated accordingly. They found a reduced risk, but confidence intervals were wide (hazard ratio 0.50, 95% confidence interval 0.09 to 2.74 and hazard ratio 0.53, 95% confidence interval 0.24 to 1.18). Objective 2: Seven randomised controlled trials compared clopidogrel with alternative treatment in people with genetic variants. Ticagrelor was associated with a lower risk of secondary vascular events than clopidogrel (summary hazard ratio 0.76, 95% confidence interval 0.65 to 0.90; two studies). Objective 3: Twenty-five studies compared outcomes in people with and without genetic variants treated with clopidogrel. People with genetic variants were at an increased risk of secondary vascular events (hazard ratio 1.72, 95% confidence interval 1.43 to 2.08; 18 studies). There was no difference in bleeding risk (hazard ratio 0.98, 95% confidence interval 0.68 to 1.40; five studies). Objective 4: Eleven studies evaluated Genomadix Cube accuracy; no studies evaluated Genedrive. Summary sensitivity and specificity against laboratory reference standards were both 100% (95% confidence interval 94% to 100% and 99% to 100%). Objective 5: Seventeen studies evaluated technical performance of point-of-care tests. Test failure rate ranged from 0.4% to 19% for Genomadix Cube. A survey of 8/10 genomic laboratory hubs revealed variation in preferred technologies for testing, and cost per test ranging from £15 to £250. Most laboratories expected test failure rate to be < 1%. Additional resources could enhance testing capacity and expedite turnaround times. Objective 6: Laboratory and point-of-care Conclusions: Our results suggest that Future work: Accuracy and technical performance of Genedrive. Test failure rate of Genomadix Cube in a National Health Service setting. Value of testing additional loss-of-function alleles. Appropriateness of treatment dichotomy based on loss-of-function alleles. Limitations: Lack of data on Genedrive. No randomised 'test-and-treat' studies of dipyramidole plus aspirin. Study registration: This study is registered as PROSPERO CRD42022357661. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Evidence Synthesis programme (NIHR award ref: NIHR135620) and is published in full in

Indexed as

ClopidogrelCost-Benefit AnalysisCytochrome P-450 CYP2C19Drug ResistanceIschemic Attack, TransientPlatelet Aggregation InhibitorsGenetic TestingGenotypeHumansIschemic StrokeModels, EconomicQuality-Adjusted Life YearsClopidogrelCYP2C19 protein, humanCytochrome P-450 CYP2C19Platelet Aggregation InhibitorsANTIPLATELET THERAPYCLOPIDOGRELECONOMIC MODELSTROKESYSTEMATIC REVIEW

Identifiers

PMID39269241
PMCPMC11417645

What Socratic holds

Textmetadata
Read underepoch 390

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 Socratic graph.