Evidence map›Paper›PMID 38129374›Full record

ReviewCell death discovery2023

What happens to regulatory T cells in multiple myeloma.

Huixian Chen, Xueling Wang, Yan Wang, Xiaotian Chang

Open access · goldAbstract readReview
In one paragraph

Review in Cell death discovery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. SSTNSignal transduction and targeted therapy · 2026
    Article
  4. Review
  5. Circulating CD38Scientific reports · 2026
    Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Advancing CAR-T cell therapy: Insights into patient biology, leukapheresis, and cryopreservation.Molecular therapy : the journal of the American Society of Gene Therapy · 2025
    Review
  13. Review
  14. Article
  15. 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

4 authors at 2 institutions in 1 country.

Huixian Chen *Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.ORCID http://orcid.org/0000-0003-2808-5360
Xueling Wang *Medical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China.
Yan WangDepartment of Pediatrics, Qilu Hospital of Shandong University, Jinan, 250012, China.
Xiaotian ChangMedical Research Center, The Affiliated Hospital of Qingdao University, Qingdao, 266003, China. changxt@126.com.ORCID http://orcid.org/0000-0002-7639-7740
Qingdao University · CNQilu Hospital of Shandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormal tumor microenvironment and immune escape in multiple myeloma (MM) are associated with regulatory T cells (Tregs), which play an important role in maintaining self-tolerance and regulating the overall immune response to infection or tumor cells. In patients with MM, there are abnormalities in the number, function and distribution of Tregs, and these abnormalities may be related to the disease stage, risk grade and prognosis of patients. During the treatment, Tregs have different responses to various treatment regiments, thus affecting the therapeutic effect of MM. It is also possible to predict the therapeutic response by observing the changes of Tregs. In addition to the above, we reviewed the application of Tregs in the treatment of MM. In conclusion, there is still much room for research on the mechanism and application of Tregs in MM.

Identifiers

PMID38129374
PMCPMC10739837
OpenAlexW4390046036

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.