Evidence map›Paper›PMID 41030254›Full record

ArticleFrontiers in medicine2025

Clinical efficacy and safety of venetoclax combined with hypomethylating agents in relapsed high-risk acute myeloid leukemia patients after allogeneic hematopoietic stem cell transplantation.

Jiaying Cheng, Haipeng Fu, Ling Jiang, Yun Huang, Yujiao Zhang, Zhiquan Long, Xuejie Jiang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Jiaying ChengDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Haipeng FuDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Ling JiangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yun HuangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Yujiao ZhangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Zhiquan LongDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xuejie JiangDepartment of Hematology, Nanfang Hospital, Southern Medical University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Relapse after allogeneic hematopoietic stem cell transplantation (allo-HSCT) for high-risk myeloid malignancies remains a major therapeutic challenge, with conventional chemotherapy offering limited survival benefits. BCL-2 inhibition combined with hypomethylating agents (HMAs) has emerged as a potential therapeutic option, but comparative data in this setting are scarce. Methods: We conducted a single-center retrospective study of 106 consecutive patients with post-transplant acute myeloid leukemia (AML) recurrence treated between 2020 and 2024. Patients received either venetoclax plus HMAs ( Results: The venetoclax-based regimen achieved significantly higher CR rates (56.6% vs. 26.4%, Discussion: Venetoclax in combination with HMAs provided superior clinical benefits over intensive chemotherapy in post-allo-HSCT AML relapse, achieving higher remission rates, improved survival, enhanced MRD clearance, and a favorable safety profile. These findings highlight venetoclax-based regimens as a promising therapeutic approach for this high-risk population.

Indexed as

cytotoxic regimensdisease recurrencemyeloid neoplasiatherapeutic resistancevenetoclax

Identifiers

PMID41030254
PMCPMC12477258

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Registered trials

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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.