Evidence map›Paper›PMID 21132027›Full record

ArticleBone marrow transplantation2011

Comorbidity index does not predict outcome in allogeneic myeloablative transplants conditioned with fludarabine/i.v. busulfan (FluBu4).

P Patel, K Sweiss, S Nimmagadda, W Gao, D Rondelli

Abstract read
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In one paragraph

Article in Bone marrow transplantation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

P PatelSection of Hematology/Oncology, University of Illinois at Chicago, Chicago, IL 60612, USA.
K Sweiss
S Nimmagadda
W Gao
D Rondelli
University of Illinois Chicago · US

Funding

CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR029879 · NCRR · UNIVERSITY OF ILLINOIS AT CHICAGO · PI MAZZONE, THEODORE · 2009 to 2011
$11.0M
NCRR NIH HHS UL1RR029879
6 · The paper itself

Abstract

The assessment of a hematopoietic stem cell transplant (HSCT)-specific comorbidity index (HCT-CI) has been developed to predict the risk of TRM in patients undergoing allogeneic HSCT. As the myeloablative fludarabine/i.v. busulfan (FluBu4) regimen has been associated with limited extra-hematologic toxicity, we analyzed whether the HCT-CI represents a useful tool in transplant patients conditioned with this regimen. Of the 52 consecutive patients who received an allogeneic HSCT with FluBu4 at our institution, 50 were evaluable for assessing pre-transplant HCT-CI. Patients were divided into three groups: score 0 (n=7); score 1-2 (n=17) and score >3 (n=26). The three groups did not differ significantly in age, diagnosis, previous lines of chemotherapy and type of donor. High-risk disease was present in 57% of low, 82% of intermediate and 85% of high HCT-CI score groups (P=ns). Two-year TRM and OS was 14.3 and 85.7% in the low score group, 23.5 and 58.8% in the intermediate score group and 15.4 and 50% in the high HCT-CI score group (P=ns). In this study, the HCT-CI lacked sensitivity to reliably predict TRM although patients with no comorbidities showed a trend for improved survival.

Indexed as

AdolescentAdultBusulfanComorbidityFemaleHematopoietic Stem Cell TransplantationHumansMaleMiddle AgedMyeloablative AgonistsRetrospective StudiesRisk FactorsSurvival AnalysisTransplantation ConditioningTransplantation, HomologousTreatment OutcomeBusulfanfludarabineMyeloablative AgonistsVidarabine

Identifiers

PMID21132027
OpenAlexW1970903407

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.