Evidence map›Paper›PMID 37584286›Full record

ReviewHaematologica2024

Advances in next-generation sequencing and emerging technologies for hematologic malignancies.

Regina Kwon, Cecilia C S Yeung

Open access · goldAbstract readReview
In one paragraph

Review in Haematologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Molecular Insights and Novel Therapies for Lymphoproliferative Disorders.International journal of molecular sciences · 2026
    Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Hematological Malignancies: Molecular Mechanisms and Therapy.International journal of molecular sciences · 2025
    Article
  17. 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 1 institution in 2 countries.

Regina KwonDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle.
Cecilia C S YeungDepartment of Laboratory Medicine and Pathology, University of Washington, Seattle, USA; Translational Science and Therapeutics Division, Fred Hutchinson Cancer Center, Seattle.
University of Washington · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Innovations in molecular diagnostics have often evolved through the study of hematologic malignancies. Examples include the pioneering characterization of the Philadelphia chromosome by cytogenetics in the 1970s, the implementation of polymerase chain reaction for high-sensitivity detection and monitoring of mutations and, most recently, targeted next- generation sequencing to drive the prognostic and therapeutic assessment of leukemia. Hematologists and hematopath- ologists have continued to advance in the past decade with new innovations improving the type, amount, and quality of data generated for each molecule of nucleic acid. In this review article, we touch on these new developments and discuss their implications for diagnostics in hematopoietic malignancies. We review advances in sequencing platforms and library preparation chemistry that can lead to faster turnaround times, novel sequencing techniques, the development of mobile laboratories with implications for worldwide benefits, the current status of sample types, improvements to quality and reference materials, bioinformatic pipelines, and the integration of machine learning and artificial intelligence into mol- ecular diagnostic tools for hematologic malignancies.

Indexed as

Artificial IntelligenceHematologic NeoplasmsHigh-Throughput Nucleotide SequencingHumansMutationPolymerase Chain Reaction

Identifiers

PMID37584286
PMCPMC10828783
OpenAlexW4385851603

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.