Evidence map›Paper›PMID 37389830›Full record

ReviewBlood advances2024

Nelarabine: when and how to use in the treatment of T-cell acute lymphoblastic leukemia.

Shai Shimony, Daniel J DeAngelo, Marlise R Luskin

Open access · goldAbstract readReview
In one paragraph

Review in Blood advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
7.8field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  8. Molecularly targeted therapy and immunotherapy in leukemias.Journal of hematology & oncology · 2026
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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

3 authors at 2 institutions in 2 countries.

Shai ShimonyDivision of Leukemia, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-7245-9652
Daniel J DeAngeloDivision of Leukemia, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0001-7865-2306
Marlise R LuskinDivision of Leukemia, Dana-Farber Cancer Institute, Boston, MA.ORCID 0000-0002-5781-4529
Dana-Farber Cancer Institute · USTel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractT-cell acute lymphoblastic leukemia or lymphoblastic lymphoma (T-ALL/LBL) is a rare hematologic malignancy most commonly affecting adolescent and young adult males. Outcomes are dismal for patients who relapse, thus, improvement in treatment is needed. Nelarabine, a prodrug of the deoxyguanosine analog 9-β-arabinofuranosylguanine, is uniquely toxic to T lymphoblasts, compared with B lymphoblasts and normal lymphocytes, and has been developed for the treatment of T-ALL/LBL. Based on phase 1 and 2 trials in children and adults, single-agent nelarabine is approved for treatment of patients with relapsed or refractory T-ALL/LBL, with the major adverse effect being central and peripheral neurotoxicity. Since its approval in 2005, nelarabine has been studied in combination with other chemotherapy agents for relapsed disease and is also being studied as a component of initial treatment in pediatric and adult patients. Here, we review current data on nelarabine and present our approach to the use of nelarabine in the treatment of patients with T-ALL/LBL.

Indexed as

Antineoplastic AgentsLymphoma, T-CellPrecursor T-Cell Lymphoblastic Leukemia-LymphomaAdolescentArabinonucleosidesChildHumansMaleRecurrenceT-LymphocytesYoung AdultAntineoplastic AgentsArabinonucleosidesnelarabine

Identifiers

PMID37389830
PMCPMC10784681
OpenAlexW4382631133

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.