Evidence map›Paper›PMID 22945774›Full record

ArticleLeukemia2013

Improved flow cytometric detection of minimal residual disease in childhood acute lymphoblastic leukemia.

B Denys, A J van der Sluijs-Gelling, C Homburg, C E van der Schoot, V de Haas, J Philippé, R Pieters, J J M van Dongen, V H J van der Velden

Abstract read
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In one paragraph

Article in Leukemia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

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  2. Next-Generation Sequencing in Adult B Cell Acute Lymphoblastic Leukemia Patients.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2017
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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

9 authors.

B DenysDepartment of Immunology, Erasmus MC, University Medical Center, Rotterdam, The Netherlands.
A J van der Sluijs-Gelling
C Homburg
C E van der Schoot
V de Haas
J Philippé
R Pieters
J J M van Dongen
V H J van der Velden

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most current treatment protocols for acute lymphoblastic leukemia (ALL) include minimal residual disease (MRD) diagnostics, generally based on PCR analysis of rearranged antigen receptor genes. Although flow cytometry (FCM) can be used for MRD detection as well, discordant FCM and PCR results are obtained in 5-20% of samples. We evaluated whether 6-color FCM, including additional markers and new marker combinations, improved the results. Bone marrow samples were obtained from 363 ALL patients at day 15, 33 and 78 and MRD was analyzed using 6-color (218 patients) or 4-color (145 patients) FCM in parallel to routine PCR-based MRD diagnostics. Compared with 4-color FCM, 6-color FCM significantly improved the concordance with PCR-based MRD data (88% versus 96%); particularly the specificity of the MRD analysis improved. However, PCR remained more sensitive at levels <0.01%. MRD-based risk groups were similar between 6-color FCM and PCR in 68% of patients, most discrepancies being medium risk by PCR and standard risk by FCM. Alternative interpretation of the PCR data, aimed at prevention of false-positive MRD results, changed the risk group to standard risk in half (52%) of these discordant cases. In conclusion, 6-color FCM significantly improves MRD analysis in ALL but remains less sensitive than PCR-based MRD-diagnostics.

Indexed as

Flow CytometryImmunophenotypingReal-Time Polymerase Chain ReactionBone MarrowChildDNA, NeoplasmFollow-Up StudiesHumansNeoplasm, ResidualPrecursor Cell Lymphoblastic Leukemia-LymphomaDNA, Neoplasm

Identifiers

PMID22945774

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.