Evidence map›Paper›PMID 30941899›Full record

ArticleCytometry. Part B, Clinical cytometry2019

Efficiency and Health Economic Evaluations of BD OneFlow™ Flow Cytometry Reagents for Diagnosing Chronic Lymphoid Leukemia.

Eoin Moloney, Helen Watson, Dawn Barge, A Joy Allen, Peter Carey, Jennifer Hislop, Louise Johnston, Kate Lorrison, Andrew McGregor, Rachel A O'Leary and 4 more

Abstract readEvaluation Study
In one paragraph

Article in Cytometry. Part B, Clinical cytometry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. A multicenter study evaluation of the ClearLLab 10C panels.Cytometry. Part B, Clinical cytometry · 2021
    Article
  2. 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

14 authors.

Eoin MoloneyHealth Economics Group, Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK.
Helen WatsonNewcastle Upon Tyne Hospitals NHS Foundation Trust, Blood Sciences Laboratory, Royal Victoria Infirmary, UK.
Dawn BargeNewcastle Upon Tyne Hospitals NHS Foundation Trust, Blood Sciences Laboratory, Royal Victoria Infirmary, UK.
A Joy AllenNewcastle University, NIHR Newcastle Diagnostics Co-operative, Newcastle upon Tyne, UK.
Peter CareyNewcastle Upon Tyne Hospitals NHS Foundation Trust, Cancer Services/Clinical Haematology, Newcastle upon Tyne, UK.
Jennifer HislopNewcastle University, Health Economics Group, Institute for Health and Society, Healthcare Improvement Scotland.
Louise JohnstonNewGene Ltd, Newcastle upon Tyne, UK.
Kate LorrisonNewcastle Upon Tyne Hospitals NHS Foundation Trust, Blood Sciences Laboratory, Royal Victoria Infirmary, UK.
Andrew McGregorNewcastle Upon Tyne Hospitals NHS Foundation Trust, Cancer Services/Clinical Haematology, Newcastle upon Tyne, UK.
Rachel A O'LearyNewcastle Upon Tyne Hospitals NHS Foundation Trust, NIHR, Newcastle In Vitro Diagnostics Co-operative, Newcastle upon Tyne, UK.
Michael H PowerNewcastle Upon Tyne Hospitals NHS Foundation Trust, NIHR, Newcastle In Vitro Diagnostics Co-operative, Newcastle upon Tyne, UK.ORCID 0000-0002-0617-1623
Jonathan WallisNewcastle Upon Tyne Hospitals NHS Foundation Trust, Blood Sciences Laboratory, Royal Victoria Infirmary, UK.
A John SimpsonNewcastle University, NIHR Newcastle Diagnostics Co-operative, Newcastle upon Tyne, UK.
Brigit GreystokeNewcastle Upon Tyne Hospitals NHS Foundation Trust, Cancer Services/Clinical Haematology, Newcastle upon Tyne, UK.

Funding

Department of Health MIC-2016-014
6 · The paper itself

Abstract

reason for the studyTo standardize the use of flow cytometry for classifying hematological malignancies and make the results reliable and reproducible across laboratories, the EuroFlow™ Consortium published a comprehensive specification of antibody-fluorochrome conjugates, standard protocols, and algorithms for analysis. The BD OneFlow™ system builds on, and further standardizes, the EuroFlow protocols. We aimed to assess the effects on safety, efficiency, and costs for laboratories of adopting the BD OneFlow reagent tubes (LST and B-CLPD T1) for diagnosing chronic lymphocytic leukemia.

methodsWe compared in-house laboratory processes and results with those using the LST and B-CLPD T1 reagent tubes with, and without, blood film morphology. Outcome measures included concordance in classification results, and efficiency within the laboratory, that is, resource usage, staff time, unwanted events, and cost-consequences.

resultsThere was 100% concordance between the classifications made with in-house flow cytometry and those with the BD OneFlow reagent tubes. Using BD OneFlow tubes required 13 hours less staff time per month (i.e. for 100 samples) than the in-house process. Sensitivity analyses explored the effects of uncertainties in the price of the BD OneFlow tubes and the prevalence of CLL and identified the thresholds at which laboratories might expect cost-savings from adopting the BD OneFlow system. Laboratory and clinical staff considered the BD OneFlow system to be safe and effective.

conclusionsLaboratories adopting the BD OneFlow system for classifying patients with suspected CLL can expect safe, efficient processes that can be cost saving if the discount on the list price, and prevalence of CLL (which will both vary between sites and countries), is within the thresholds suggested by the health economics sensitivity analysis. © 2019 International Clinical Cytometry Society.

Indexed as

Flow CytometryHumansImmunophenotypingIndicators and ReagentsLeukemia, Lymphocytic, Chronic, B-CellIndicators and ReagentsB-CLPDBD OneFlowbudget impact analysischronic lymphocytic leukemiaCLLcost-consequence analysisflow cytometryLST

Identifiers

PMID30941899
PMCPMC6899525

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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 OpenQuestion graph.