Evidence map›Paper›PMID 36453517›Full record

ReviewHaematologica2022

Measurable residual disease in chronic myeloid leukemia.

Susan Branford, Jane F Apperley

Open access · goldAbstract readReview
In one paragraph

Review in Haematologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. The silent players: AtypicalOncology reports · 2025
    Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. 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

2 authors at 2 institutions in 2 countries.

Susan BranfordDepartment of Genetics and Molecular Pathology, Centre for Cancer Biology, SA Pathology, Adelaide, Australia; School of Medicine, University of Adelaide, Adelaide, Australia; Clinical and Health Sciences, University of South Australia, Adelaide, Australia. susan.branford@sa.gov.au.
Jane F ApperleyDepartment of Haematology, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK; Centre for Haematology, Department of Immunology and Inflammation, Faculty of Medicine, Imperial College London, London, UK.
Imperial College London · GBUniversity of Adelaide · AU

Funding

Department of Health
6 · The paper itself

Abstract

Chronic myeloid leukemia is characterized by a single genetic abnormality resulting in a fusion gene whose mRNA product is easily detected and quantified by reverse-transcriptase polymerase chain reaction analysis. Measuring residual disease was originally introduced to identify patients relapsing after allogeneic stem cell transplantation but rapidly adopted to quantify responses to tyrosine kinase inhibitors. Real-time quantitative polymerase chain reaction is now an essential tool for the management of patients and is used to influence treatment decisions. In this review we track this development including the international collaboration to standardize results, discuss the integration of molecular monitoring with other factors that affect patients' management, and describe emerging technology. Four case histories describe varying scenarios in which the accurate measurement of residual disease identified patients at risk of disease progression and allowed appropriate investigations and timely clinical intervention.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myelogenous, Chronic, BCR-ABL PositiveLeukemia, MyeloidDisease ProgressionHumansNeoplasm, Residual

Identifiers

PMID36453517
PMCPMC9713565
OpenAlexW4310535722

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.