Evidence map›Paper›PMID 40843735›Full record

ReviewMedical sciences (Basel, Switzerland)2025

Isfahan Shah Lubis, Kusnandar Anggadiredja, Aluicia Anita Artarini, Nur Melani Sari, Nur Suryawan, Zulfan Zazuli

Abstract readReview
In one paragraph

Review in Medical sciences (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

6 authors.

Isfahan Shah LubisDepartment of Pharmacology-Clinical Pharmacy, School of Pharmacy, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Kusnandar AnggadiredjaDepartment of Pharmacology-Clinical Pharmacy, School of Pharmacy, Institut Teknologi Bandung, Bandung 40132, Indonesia.ORCID 0000-0001-9879-6112
Aluicia Anita ArtariniDepartment of Pharmaceutics, School of Pharmacy, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Nur Melani SariDivision of Hematology-Oncology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran/Dr. Hasan Sadikin General Hospital, Bandung 40161, Indonesia.ORCID 0000-0002-9062-9624
Nur SuryawanDivision of Hematology-Oncology, Department of Child Health, Faculty of Medicine, Universitas Padjadjaran/Dr. Hasan Sadikin General Hospital, Bandung 40161, Indonesia.
Zulfan ZazuliDepartment of Pharmacology-Clinical Pharmacy, School of Pharmacy, Institut Teknologi Bandung, Bandung 40132, Indonesia.ORCID 0000-0002-1264-9558

Funding

Bandung Institute of Technology 223/IT1.B07.1/TA.00/2022
6 · The paper itself

Abstract

The management of acute lymphoblastic leukemia (ALL), the most common pediatric malignancy, critically relies on thiopurine therapy, such as 6-mercaptopurine (6-MP), during the maintenance phase. However, significant inter-individual response variety and high risk of myelosuppression often disrupt therapy efficacy. Pharmacogenetics offer crucial strategies to personalized therapy. While thiopurine methyltransferase (

Indexed as

MercaptopurinePharmacogeneticsPrecision MedicinePrecursor Cell Lymphoblastic Leukemia-LymphomaPyrophosphatasesAntimetabolites, AntineoplasticHumansMethyltransferasesNudix HydrolasesAntimetabolites, AntineoplasticMercaptopurineMethyltransferasesNudix HydrolasesNUDT15 protein, humanPyrophosphatasesthiopurine methyltransferase6-mercaptopurineacute lymphoblastic leukemia (ALL)myelosuppressionNUDT15personalized medicinepharmacogeneticsthiopurines

Identifiers

PMID40843735
PMCPMC12371948

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.