Evidence map›Paper›PMID 20882049›Full record

ArticleLeukemia2010

Donor-specific differences in long-term outcomes of myeloablative transplantation in adults with Philadelphia-negative acute lymphoblastic leukemia.

S Lee, N-G Chung, B-S Cho, K-S Eom, Y-J Kim, H-J Kim, C-K Min, S-G Cho, D-W Kim, J-W Lee and 3 more

Abstract read
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In one paragraph

Article in Leukemia, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 21% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

S LeeDepartment of Hematology, Catholic Blood and Marrow Transplantation Center, Seoul St Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea. leeseok@catholic.ac.kr
N-G Chung
B-S Cho
K-S Eom
Y-J Kim
H-J Kim
C-K Min
S-G Cho
D-W Kim
J-W Lee
W-S Min
C-W Park
C-C Kim
Catholic University of Korea · KRSeoul St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We analyzed long-term outcomes of myeloablative stem cell transplantation (SCT) in 292 adults with Philadelphia (Ph)-negative acute lymphoblastic leukemia (ALL). Donors were related (RD; n=132), unrelated (URD; n=68; 30 well-matched (WM), 19 partially matched (PM), 19 mismatched (MM)) and autologous (AUTO; n=92). After a median follow-up of 85 months, the risk of relapse was higher for AUTO-SCT than for RD-SCT (P<0.001). MM-URD-SCT yielded higher risk of non-relapse mortality than RD-SCT (P=0.010). As a result, disease-free survival (DFS) at 5 years was inferior using AUTO (46.1%; P=0.010) or MM-URD (26.3%; P=0.036), whereas DFS from other donor sources was approximately equivalent (53.5% for RD, 63.3% for WM-URD and 57.0% for PM-URD). Other factors associated with poorer DFS included SCT beyond first complete remission (CR), older age and adverse cytogenetics. In a pairwise comparison of outcomes between RD-SCT and AUTO-SCT for patients in first CR, the inferiority of AUTO-SCT was observed, particularly in high-risk patients. Conversely, in standard-risk patients, AUTO-SCT yielded comparable outcomes to RD-SCT. SCT using RD, WM-URD or PM-URD may be considered the best donor sources for adult high-risk Ph-negative ALL.

Indexed as

Hematopoietic Stem Cell TransplantationPhiladelphia ChromosomeTissue DonorsAdolescentAdultAgedFemaleGraft vs Host DiseaseHumansMaleMiddle AgedPrecursor Cell Lymphoblastic Leukemia-LymphomaRisk FactorsTreatment Outcome

Identifiers

PMID20882049
OpenAlexW2051167755

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.