Evidence map›Paper›PMID 22955330›Full record

ArticleLeukemia2013

Long-term follow-up of reduced-intensity allogeneic stem cell transplantation for chronic lymphocytic leukemia: prognostic model to predict outcome.

J R Brown, H T Kim, P Armand, C Cutler, D C Fisher, V Ho, J Koreth, J Ritz, C Wu, J H Antin and 3 more

Open access · greenAbstract read
In one paragraph

Article in Leukemia, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.1field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 102 citations in OpenAlex.

  1. Trial
  2. Feasibility of Lenalidomide Therapy for Persistent Chronic Lymphocytic Leukemia after Allogeneic Transplantation.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2017
    Trial
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  7. Article
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  9. Review
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  15. Article
  16. Allogeneic Haploidentical Blood or Marrow Transplantation with Post-Transplantation Cyclophosphamide in Chronic Lymphocytic Leukemia.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2020
    Article
  17. Review
  18. Article
  19. Article
  20. 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

13 authors at 3 institutions in 1 country.

J R BrownMedical Oncology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. jbrown2@partners.org
H T Kim
P Armand
C Cutler
D C Fisher
V Ho
J Koreth
J Ritz
C Wu
J H Antin
R J Soiffer
J G Gribben
E P Alyea
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USHarvard University · US

Funding

Tissue CoreP01CA081534 · NCI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI KIPPS, THOMAS J · 2000 to 2016
$59.5M
TUMOR VACCINES AND BONE MARROW TRANSPLANTATIONP01CA039542 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI JAMES L. M. FERRARA · 1985 to 2026
$47.9M
Project 3: Humoral Targets and B Cell Biology in Chronic Graft-vs.-Host DiseaseP01CA142106 · NCI · DANA-FARBER CANCER INST · PI CUTLER, COREY S · 2009 to 2019
$17.5M
Novel Approaches to GHVD PreventionP01HL070149 · NHLBI · DANA-FARBER CANCER INSTITUTE · PI LEE, STEPHANIE J · 2003 to 2007
$10.2M
T CELL NEOGENESIS AFTER STEM CELL TRANSPLANTATIONP01AI029530 · NIAID · DANA-FARBER CANCER INSTITUTE · PI RITZ, JEROME · 1990 to 2003
$4.5M
Manipulation of Immune Responsiveness after Hematopoietic Cell TransplantationR01CA183559 · NCI · DANA-FARBER CANCER INST · PI RITZ, JEROME, SOIFFER, ROBERT JON · 2013 to 2017
$3.7M
Reconstitution of Regulatory T Cells After Stem Cell TransplantationR01CA183560 · NCI · DANA-FARBER CANCER INST · PI RITZ, JEROME, SOIFFER, ROBERT JON · 2013 to 2017
$2.5M
Genetic Alterations in Families with Multiple LymphomasK23CA115682 · NCI · DANA-FARBER CANCER INSTITUTE · PI BROWN, JENNIFER R · 2005 to 2009
$754k
NCI NIH HHS K23 CA115682NCI NIH HHS K23 CA115682-01NCI NIH HHS P01 CA039542NCI NIH HHS P01 CA081534NCI NIH HHS P01 CA142106NCI NIH HHS P01 CA81538NCI NIH HHS R01 CA183559NCI NIH HHS R01 CA183560NHLBI NIH HHS P01 HL070149NIAID NIH HHS P01 AI029530PHS HHS A129530
6 · The paper itself

Abstract

Chronic lymphocytic leukemia (CLL) remains incurable with chemoimmunotherapy, and allogeneic hematopoietic stem cell transplantation (HSCT) offers the potential for cure. We assessed the outcomes of 108 CLL patients undergoing first allogeneic HSCTs, 76 with reduced-intensity (RIC) and 32 with myeloablative conditioning (MAC) between 1998 and 2009 at Dana-Farber Cancer Institute. With median follow-up of 5.9 years in surviving patients, the 5-year overall survival (OS) for the entire cohort is 63% for RIC regimens and 49% for MAC regimens (P=0.18). The risk of death declined significantly starting in 2004, and we found that 5-year OS for HSCT between 2004 and 2009 was 83% for RIC regimens compared with 47% for MAC regimens (P=0.003). For RIC transplantation, we developed a prognostic model based on predictors of progression-free survival (PFS), specifically remission status, lactate dehydrogenase, comorbidity score and lymphocyte count, and found 5-year PFS to be 83% for Score 0, 63% for Score 1, 24% for Score 2 and 6% for Score ≥3 (P<0.0001). We conclude that RIC HSCT for CLL in the current era is associated with excellent long-term PFS and OS, and, as potentially curative therapy, should be considered early in the disease course of relapsed high-risk CLL patients.

Indexed as

Hematopoietic Stem Cell TransplantationModels, StatisticalAdultAgedFemaleFlow CytometryFollow-Up StudiesGraft vs Host DiseaseHumansKaryotypingLeukemia, Lymphocytic, Chronic, B-CellMaleMiddle AgedNeoplasm Recurrence, LocalPrognosisProspective Studies

Identifiers

PMID22955330
PMCPMC3519975
OpenAlexW2168116220

What OpenQuestion holds

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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.