Evidence map›Paper›PMID 39568419›Full record

ReviewHaematologica2025

Optimization of T-cell-replete haploidentical hematopoietic stem cell transplantation: the Chinese experience.

Xiaodong Mo, Xuying Pei, Xiaojun Huang

Abstract readReview
In one paragraph

Review in Haematologica, 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. Article
  2. Article
  3. Article
  4. Leukemia epidemiology in China: Burden, trends, and determinants in the 21st century.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025
    Article
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.

Xiaodong MoPeking University People's Hospital and Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044.
Xuying PeiPeking University People's Hospital and Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044.
Xiaojun HuangPeking University People's Hospital and Peking University Institute of Hematology, National Clinical Research Center for Hematologic Disease, Beijing Key Laboratory of Hematopoietic Stem Cell Transplantation, Beijing, 100044; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing. huangxiaojun@bjmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Haploidentical-related donor (HID) hematopoietic stem cell transplantation (HSCT) has undergone significant advances in recent decades. Granulocyte colony-stimulating factor- and antithymocyte globulin-based protocols and post-transplantation cyclophosphamide-based regimens represent two of the current T-cell-replete protocols in HID HSCT. Recently, the optimization of several critical transplant techniques has further improved hematopoietic reconstitution, decreased the incidence of relapse and graft-versus-host disease after HID HSCT, and extended the application of HID HSCT to older patients and those with non-malignant hematologic disorders. Combining this approach with novel immunotherapy could further improve the efficacy and safety of HID HSCT. This review focuses on recent progress in the optimization of HID HSCT.

Indexed as

Hematopoietic Stem Cell TransplantationT-LymphocytesTransplantation, HaploidenticalChinaGraft vs Host DiseaseHumansTransplantation Conditioning

Identifiers

PMID39568419
PMCPMC11873716

What OpenQuestion holds

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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.