Evidence map›Paper›PMID 29222325›Full record

ReviewHematology. American Society of Hematology. Education Program2017

Cells to prevent/treat relapse following allogeneic stem cell transplantation.

Andrew C Dietz, Alan S Wayne

Open access · hybridAbstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Targeting HLA-DR loss in hematologic malignancies with an inhibitory chimeric antigen receptor.Molecular therapy : the journal of the American Society of Gene Therapy · 2022
    Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

2 authors at 1 institution in 1 country.

Andrew C DietzChildren's Center for Cancer and Blood Diseases, Division of Hematology, Oncology, and Blood and Marrow Transplantation, Children's Hospital Los Angeles, Los Angeles, CA; and.
Alan S WayneChildren's Center for Cancer and Blood Diseases, Division of Hematology, Oncology, and Blood and Marrow Transplantation, Children's Hospital Los Angeles, Los Angeles, CA; and.
University of Southern California · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Relapse of cancer remains one of the primary causes of treatment failure and mortality after allogeneic hematopoietic stem cell transplantation (HSCT). A multitude of approaches have been used in the management of posttransplant relapse. This review focuses on recent data with cellular therapies designed to treat or prevent posttransplant relapse of hematologic malignancies, although many of these therapeutic approaches also have applications to solid tumors and in the nontransplant setting. Currently available cell therapies include second transplant, natural killer cells, monocyte-derived dendritic cell vaccines, and lymphocytes via donor lymphocyte infusion, antigen-primed cytotoxic T lymphocytes, cytokine-induced killer cells, marrow-infiltrating lymphocytes, and chimeric antigen receptor T cells. These treatment options offer the prospect for improved relapse-free survival after HSCT.

Indexed as

Hematopoietic Stem Cell TransplantationAllograftsCancer VaccinesCD8-Positive T-LymphocytesCytokine-Induced Killer CellsDendritic CellsHumansImmunotherapyKiller Cells, NaturalMonocytesNeoplasm Recurrence, LocalNeoplasmsCancer Vaccines

Identifiers

PMID29222325
PMCPMC6142604
OpenAlexW2781709504

What OpenQuestion holds

Textmetadata
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.