Evidence map›Paper›PMID 38481949›Full record

ReviewTherapeutic advances in hematology2024

Progress and prospect of ASCT combined with CAR-T therapy in the treatment of multiple myeloma.

Shihui Yuan, Ying Chen, Huasheng Liu

Open access · goldAbstract readReview
In one paragraph

Review in Therapeutic advances in hematology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.0field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 14 citations in OpenAlex.

  1. Quality of Life in CAR-T Cell Therapy.Hematology reports · 2026
    Review
  2. Article
  3. Review
  4. Human herpesvirus 6 (HHV-6) encephalitis secondary to chimeric antigen receptor (CAR)-T cell therapy.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Article
  5. Article
  6. 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

3 authors at 1 institution in 1 country.

Shihui YuanDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.ORCID https://orcid.org/0000-0002-1566-1106
Ying ChenDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Huasheng LiuDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, 277 West Yanta Road, Xi'an, Shaanxi, P.R. China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple myeloma (MM) is a hematological cancer characterized by abnormal proliferation of plasma cells in bone marrow. In recent years, autologous stem cell transplantation (ASCT) has become the cornerstone of MM treatment. At the same time, immunotherapy, such as monoclonal antibody therapy and chimeric antigen receptor T cell (CAR-T) has also emerged, in which CAR-T is the most attractive focus. ASCT and its myeloablative preconditioning will turn its immune microenvironment into an inhibited state, which may provide an opportunity for the expansion of CAR-T cells so as to further clear the residual lesions after ASCT and reduce the recurrence rate after ASCT. Meanwhile, the infusion of CAR-T cells can accelerate the cellular immune reconstruction after ASCT of myeloma, thereby improving the antitumor effect. In order to explore the clinic value, this article reviews the progress and prospect of ASCT combined with CAR-T therapy in the treatment of MM.

Indexed as

ASCTCAR-TImmune reconstitutionMultiple myeloma

Identifiers

PMID38481949
PMCPMC10935756
OpenAlexW4392752098

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.