Evidence map›Paper›PMID 35233774›Full record

SynthesisThe Cochrane database of systematic reviews2022

Diagnostic test accuracy and cost-effectiveness of tests for codeletion of chromosomal arms 1p and 19q in people with glioma.

Alexandra McAleenan, Hayley E Jones, Ashleigh Kernohan, Tomos Robinson, Lena Schmidt, Sarah Dawson, Claire Kelly, Emmelyn Spencer Leal, Claire L Faulkner, Abigail Palmer and 6 more

Open access · bronzeAbstract readSystematic Review
In one paragraph

Synthesis in The Cochrane database of systematic reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 2 pooled it
2.8field-weighted citation impact, top 9% of its field
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

16 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

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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

16 authors at 6 institutions in 1 country.

Alexandra McAleenanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Hayley E JonesPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Ashleigh KernohanPopulation Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK.
Tomos RobinsonInstitute of Health & Society, Newcastle University, Newcastle upon Tyne , UK.
Lena SchmidtPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Sarah DawsonPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Claire KellyPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Emmelyn Spencer LealPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Claire L FaulknerBristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK.
Abigail PalmerBristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK.
Christopher WraggBristol Genetics Laboratory, Pathology Sciences, Southmead Hospital, Bristol, UK.
Sarah JefferiesDepartment of Oncology, Addenbrooke's Hospital, Cambridge, UK.
Sebastian BrandnerDepartment of Neurodegenerative Disease, UCL Queen Square Institute of Neurology, London, UK.
Luke ValeInstitute of Health & Society, Newcastle University, Newcastle upon Tyne, UK.
Julian Pt HigginsPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Kathreena M KurianBristol Medical School: Brain Tumour Research Centre, Public Health Sciences, University of Bristol, Bristol, UK.
University of Bristol · GBNewcastle University · GBSouthmead Hospital · GBAddenbrooke's Hospital · GBBrain Tumour Research · GBNational Hospital for Neurology and Neurosurgery · GB

Funding

Cancer Research UK 19169Cancer Research UK 29019Medical Research Council MR/M014533/1Medical Research Council MR/T044594/1
6 · The paper itself

Abstract

backgroundComplete deletion of both the short arm of chromosome 1 (1p) and the long arm of chromosome 19 (19q), known as 1p/19q codeletion, is a mutation that can occur in gliomas. It occurs in a type of glioma known as oligodendroglioma and its higher grade counterpart known as anaplastic oligodendroglioma. Detection of 1p/19q codeletion in gliomas is important because, together with another mutation in an enzyme known as isocitrate dehydrogenase, it is needed to make the diagnosis of an oligodendroglioma. Presence of 1p/19q codeletion also informs patient prognosis and prediction of the best drug treatment. The main two tests in use are fluorescent in situ hybridisation (FISH) and polymerase chain reaction (PCR)-based loss of heterozygosity (LOH) assays (also known as PCR-based short tandem repeat or microsatellite analysis). Many other tests are available. None of the tests is perfect, although PCR-based LOH is expected to have very high sensitivity.

objectivesTo estimate the sensitivity and specificity and cost-effectiveness of different deoxyribonucleic acid (DNA)-based techniques for determining 1p/19q codeletion status in glioma. SEARCH

methodsWe searched MEDLINE, Embase and BIOSIS up to July 2019. There were no restrictions based on language or date of publication. We sought economic evaluation studies from the results of this search and using the National Health Service Economic Evaluation Database. SELECTION CRITERIA: We included cross-sectional studies in adults with glioma or any subtype of glioma, presenting raw data or cross-tabulations of two or more DNA-based tests for 1p/19q codeletion. We also sought economic evaluations of these tests. DATA COLLECTION AND ANALYSIS: We followed procedures outlined in the Cochrane Handbook for Diagnostic Test Accuracy Reviews. Two review authors independently screened titles/abstracts/full texts, performed data extraction, and undertook applicability and risk of bias assessments using QUADAS-2. Meta-analyses used the hierarchical summary ROC model to estimate and compare test accuracy. We used FISH and PCR-based LOH as alternate reference standards to examine how tests compared with those in common use, and conducted a latent class analysis comparing FISH and PCR-based LOH. We constructed an economic model to evaluate cost-effectiveness. MAIN

resultsWe included 53 studies examining: PCR-based LOH, FISH, single nucleotide polymorphism (SNP) array, next-generation sequencing (NGS), comparative genomic hybridisation (CGH), array comparative genomic hybridisation (aCGH), multiplex-ligation-dependent probe amplification (MLPA), real-time PCR, chromogenic in situ hybridisation (CISH), mass spectrometry (MS), restriction fragment length polymorphism (RFLP) analysis, G-banding, methylation array and NanoString. Risk of bias was low for only one study; most gave us concerns about how patients were selected or about missing data. We had applicability concerns about many of the studies because only patients with specific subtypes of glioma were included. 1520 participants contributed to analyses using FISH as the reference, 1304 participants to analyses involving PCR-based LOH as the reference and 262 participants to analyses of comparisons between methods from studies not including FISH or PCR-based LOH. Most evidence was available for comparison of FISH with PCR-based LOH (15 studies, 915 participants): PCR-based LOH detected 94% of FISH-determined codeletions (95% credible interval (CrI) 83% to 98%) and FISH detected 91% of codeletions determined by PCR-based LOH (CrI 78% to 97%). Of tumours determined not to have a deletion by FISH, 94% (CrI 87% to 98%) had a deletion detected by PCR-based LOH, and of those determined not to have a deletion by PCR-based LOH, 96% (CrI 90% to 99%) had a deletion detected by FISH. The latent class analysis suggested that PCR-based LOH may be slightly more accurate than FISH. Most other techniques appeared to have high sensitivity (i.e. produced few false-negative results) for detection of 1p/19q codeletion when either FISH or PCR-based LOH was considered as the reference standard, although there was limited evidence. There was some indication of differences in specificity (false-positive rate) with some techniques. Both NGS and SNP array had high specificity when considered against FISH as the reference standard (NGS: 6 studies, 243 participants; SNP: 6 studies, 111 participants), although we rated certainty in the evidence as low or very low. NGS and SNP array also had high specificity when PCR-based LOH was considered the reference standard, although with much more uncertainty as these results were based on fewer studies (just one study with 49 participants for NGS and two studies with 33 participants for SNP array). G-banding had low sensitivity and specificity when PCR-based LOH was the reference standard. Although MS had very high sensitivity and specificity when both FISH and PCR-based LOH were considered the reference standard, these results were based on only one study with a small number of participants. Real-time PCR also showed high specificity with FISH as a reference standard, although there were only two studies including 40 participants. We found no relevant economic evaluations. Our economic model using FISH as the reference standard suggested that the resource-optimising test depends on which measure of diagnostic accuracy is most important. With FISH as the reference standard, MLPA is likely to be cost-effective if society was willing to pay GBP 1000 or less for a true positive detected. However, as the value placed on a true positive increased, CISH was most cost-effective. Findings differed when the outcome measure changed to either true negative detected or correct diagnosis. When PCR-based LOH was used as the reference standard, MLPA was likely to be cost-effective for all measures of diagnostic accuracy at lower threshold values for willingness to pay. However, as the threshold values increased, none of the tests were clearly more likely to be considered cost-effective. AUTHORS'

conclusionsIn our review, most techniques (except G-banding) appeared to have good sensitivity (few false negatives) for detection of 1p/19q codeletions in glioma against both FISH and PCR-based LOH as a reference standard. However, we judged the certainty of the evidence low or very low for all the tests. There are possible differences in specificity, with both NGS and SNP array having high specificity (fewer false positives) for 1p/19q codeletion when considered against FISH as the reference standard. The economic analysis should be interpreted with caution due to the small number of studies.

Indexed as

Brain NeoplasmsGliomaOligodendrogliomaChromosomes, Human, Pair 1Cost-Benefit AnalysisCross-Sectional StudiesDiagnostic Tests, RoutineDNAHumansState MedicineDNA

Identifiers

PMID35233774
PMCPMC8889390
OpenAlexW4220717886

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.