Evidence map›Paper›PMID 30671909›Full record

ReviewInternational journal of hematology2019

Hematopoietic stem cell transplantation in primary central nervous system lymphoma: a review of the literature.

Daria Gaut, Gary J Schiller

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in International journal of hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% 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, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  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

2 authors at 1 institution in 1 country.

Daria GautDepartment of Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Gary J SchillerHematological Malignancies/Stem Cell Transplantation Unit, Division of Hematology/Oncology, Department of Medicine, David Geffen School of Medicine, University of California Los Angeles, 10833 Le Conte Ave, Room 42-121 CHS, Los Angeles, CA, 90095, USA. gschiller@mednet.ucla.edu.
University of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Primary central nervous system lymphoma (PCNSL) is an uncommon variant of extranodal non-Hodgkin lymphoma (NHL) with an aggressive course and worse outcomes compared with other lymphomas of similar tumor burden and histologic subtype. High-dose chemotherapy supported by autologous stem cell transplantation (HDC/ASCT) is an option for therapy for this disease in both the relapse setting and as post-remission consolidation. Data are currently limited to only several single-arm phase II trials with small sample sizes, but randomized trials are now ongoing. In this review, we discuss the efficacy, feasibility, and toxicity of HDC/ASCT for PCNSL and its role in the treatment of this aggressive malignancy, both in the first-line and relapse settings. We also bring to attention the current data on allogeneic stem cell transplantation (allo-SCT) in PCNSL.

Indexed as

Hematopoietic Stem Cell TransplantationAutograftsCentral Nervous System NeoplasmsClinical Trials, Phase II as TopicHumansLymphoma, Non-HodgkinRandomized Controlled Trials as TopicAllogeneic stem cell transplantationAutologous stem cell transplantationOverall survivalPrimary central nervous system lymphomaProgression-free survival

Identifiers

PMID30671909
OpenAlexW2911391745

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.