Evidence map›Paper›PMID 19167682›Full record

ArticleBiology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation2009

Assessment of the hematopoietic cell transplantation comorbidity index in non-Hodgkin lymphoma patients receiving reduced-intensity allogeneic hematopoietic stem cell transplantation.

Seth M Pollack, Seth M Steinberg, Jeanne Odom, Robert M Dean, Daniel H Fowler, Michael R Bishop

Open access · hybridAbstract read
In one paragraph

Article in Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed, 40 citations in OpenAlex.

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  5. Hematopoietic Cell Transplantation Comorbidity Index Predicts Outcomes in Patients with Acute Myeloid Leukemia and Myelodysplastic Syndromes Receiving CD34Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2017
    Article
  6. Comorbidities, Alcohol Use Disorder, and Age Predict Outcomes after Autologous Hematopoietic Cell Transplantation for Lymphoma.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2016
    Article
  7. Article
  8. Hematopoietic cell transplant comorbidity index is predictive of survival after autologous hematopoietic cell transplantation in multiple myeloma.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2014
    Article
  9. Article
  10. Comorbidity burden in patients with chronic GVHD.Bone marrow transplantation · 2013
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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

6 authors at 3 institutions in 1 country.

Seth M PollackDepartment of Medicine, George Washington University Medical Center, Washington, DC, USA.
Seth M Steinberg
Jeanne Odom
Robert M Dean
Daniel H Fowler
Michael R Bishop
Cleveland Clinic · USGeorge Washington University · USNational Institutes of Health · US

Funding

Th1Th2 and Tc1Tc2 T Cell Subsets in Transplantation TherapyZIASC010288 · NCI · DIVISION OF CLINICAL SCIENCES - NCI · PI FOWLER, DANIEL · 2009 to 2017
$6.3M
Developing Immunoablative Regimens for the Engraftment of Allogeneic HSCTZIABC010698 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI BISHOP, MICHAEL R · 2009 to 2011
$544k
Intramural NIH HHS ZIA BC010698
6 · The paper itself

Abstract

The hematopoietic cell transplantation comorbidity index (HCT-CI), a weighted index of 17 pretransplantation comorbidities, has been validated in nonmyeloablative and myeloablative allogeneic hematopoietic stem cell transplantation (HSCT) studies, but it has not been specifically tested in patients with non-Hodgkin lymphoma (NHL) receiving reduced-intensity conditioning (RIC). We performed a retrospective analysis to assess the impact of the HCT-CI on outcomes of NHL patients treated with HSCT relative to treatment-related mortality (TRM), disease-related mortality (DRM), with a specific emphasis on overall survival (OS). Individual pretransplantation and disease-related factors also were analyzed with HCT-CI relative to their impact on OS. All patients were uniformly treated with an identical pretransplantation induction regimen and an identical RIC regimen (cyclophosphamide [Cy]/fludarabine [Flu]), and received T cell-replete allografts from HLA-matched siblings. The analysis included 63 NHL patients with a median HCT-CI score of 2 (range, 0 to 11). The HCT-CI (0 to 2 comorbidities vs 3+ comorbidities) demonstrated a potential association with TRM, but not with DRM, at 100 days (4.5% vs 26.3%) and at 1 year (13.6% vs 36.8%) posttransplantation. The factor most strongly associated with OS was response to pretransplantation chemotherapy (P= .0001), based on a composite measure. In a Cox model, pretransplantation chemotherapy response remained the most important factor (P< .0001) relative to OS, and there was a trend (P= .056) toward HCT-CI adding predictive value for OS. Although HCT-CI may be useful for predicting TRM, our data further underscore the importance of response to chemotherapy before transplantation as a predictor of overall transplantation outcome in NHL patients being considered for RIC allogeneic HSCT.

Indexed as

Severity of Illness IndexAdultAgedCause of DeathComorbidityFemaleFollow-Up StudiesHematopoietic Stem Cell TransplantationHumansLymphoma, Non-HodgkinMaleMiddle AgedPredictive Value of TestsProportional Hazards ModelsRetrospective StudiesSurvival Rate

Identifiers

PMID19167682
PMCPMC2842937
OpenAlexW2122514970

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.