Evidence map›Paper›PMID 37212909›Full record

ArticleAnnals of hematology2023

Estimating prognostic relevant cutoff values for a multiplex PCR detecting BCR::ABL1 in chronic myeloid leukemia patients on tyrosine kinase inhibitor therapy in resource-limited settings.

Saifu Hailu, Samuel Kinde, Michael Cross, Aster Tsegaye, Tsehayneh Kelemu, Daniel Seifu, Dawit Alemayehu, Azeb Tarekegn, Gutema Jabessa, Desalegn Abeje and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Annals of hematology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

16 authors at 4 institutions in 2 countries.

Saifu HailuCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Samuel KindeCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia. Samuel.KindeBirru@medizin.uni-leipzig.de.ORCID http://orcid.org/0000-0003-1028-2470
Michael CrossLeipzig University Hospital, Leipzig, Germany.
Aster TsegayeCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Tsehayneh KelemuCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Daniel SeifuCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Dawit AlemayehuArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Azeb TarekegnArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Gutema JabessaArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Desalegn AbejeArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Markos AbebeArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Abdulaziz SherifCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Fisihatsion TadesseCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Uwe PlatzbeckerLeipzig University Hospital, Leipzig, Germany.
Rawleigh HoweArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Amha GebremedhinCollege of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia.
Addis Ababa University · ETArmauer Hansen Research Institute · ETUniversity Hospital Leipzig · DEMadda Walabu University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prognosis of chronic myeloid leukemia (CML) on tyrosine kinase inhibitor (TKI) treatment is based on the quantification of BCR::ABL1 fusion gene transcript copy number, harmonized by an international scale (IS) based on TaqMan-based real-time quantitative PCR (qRT-PCR). In Ethiopia, as in most low- and middle-income countries (LMICs), access to standard diagnostic, follow-up, and prognostic tools is very limited, and it has been challenging to strictly follow international guidelines. This seriously compromises clinical outcome, despite the availability of TKIs through the Glivec International Patient Assistance Program (GIPAP). Multiplex PCR (mpx-PCR), conventionally regarded as a "screening tool," offers a potential solution to this problem. A total of 219 samples from confirmed CML patients were assayed. In reference to qRT-PCR, the AUC of ROC curve for mpx-PCR was 0.983 (95% CI: 0.957 to 0.997). At the optimum cut-off value, equivalent to BCR::ABL1 (IS) transcript copy number of 0.6%, the specificity and sensitivity were 93% and 95%, respectively, with 94% accuracy. Albeit the sensitivity and accuracy of mpx-PCR decrease below the optimum cutoff of 0.6% (IS), the specificity at 0.1% (IS) was 100%, making it an attractive means to rule-out relapse and drug non-adherence at later stages of treatment, which is particularly an issue in a low income setting. We conclude that the relative simplicity and low cost of mpx-PCR and prognostic relevant cutoff values (0.1-0.6% IS) should allow its use in peripheral clinics and thus maximize the positive impact of TKIs made available through GIPAP in most LMICs.

Indexed as

Leukemia, Myelogenous, Chronic, BCR-ABL PositiveTyrosine Kinase InhibitorsFusion Proteins, bcr-ablHumansImatinib MesylateMultiplex Polymerase Chain ReactionPrognosisProtein Kinase InhibitorsResource-Limited SettingsFusion Proteins, bcr-ablImatinib MesylateProtein Kinase InhibitorsTyrosine Kinase InhibitorsBCR::ABL1 fusion geneChronic myeloid leukemia (CML)Clinical lab performanceLow- and middle-income countries (LMICs)Multiplex PCRPrognostic relevant cutoff values

Identifiers

PMID37212909
PMCPMC10261237
OpenAlexW4377220914

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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.