Evidence map›Paper›PMID 30279573›Full record

Trial reportBone marrow transplantation2019

Pre-transplant expressions of microRNAs, comorbidities, and post-transplant mortality.

Mohamed L Sorror, Ted A Gooley, Kirsteen H Maclean, Jesse Hubbard, Mario A Marcondes, Beverly J Torok-Storb, Muneesh Tewari

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Bone marrow transplantation, 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
–field-weighted citation impact
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.

  1. Pooled it
  2. Molecular Morbidity Score-Can MicroRNAs Assess the Burden of Disease?International journal of molecular sciences · 2024
    Review
  3. Review
  4. Review
  5. Article
  6. 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

7 authors.

Mohamed L SorrorFred Hutchinson Cancer Research Center, Seattle, WA, USA. msorror@fredhutch.org.ORCID 0000-0001-5260-1981
Ted A GooleyFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Kirsteen H MacleanNanoString Technologies, Seattle, WA, USA.
Jesse HubbardFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Mario A MarcondesFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Beverly J Torok-StorbFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Muneesh TewariUniversity of Michigan, Ann Arbor, MI, USA.

Funding

CORE--VECTOR PRODUCTIONP30DK056465 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BERNSTEIN, IRWIN D · 1999 to 2014
$14.9M
Stem Cell and Transplantation BiologyU54DK106829 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DEREK L STIREWALT · 2015 to 2026
$9.1M
Controlling Hematopoietic Lineage Commitment from ESC to PlateletsU01HL099993 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI TOROK-STORB, BEVERLY J. · 2009 to 2015
$8.3M
Impact of Comorbidities on Outcomes of Allogeneic TransplantationR00HL088021 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SORROR, MOHAMED · 2011 to 2013
$735k
Impact of Comorbidities on Outcomes of Allogeneic TransplantationK99HL088021 · NHLBI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI SORROR, MOHAMED · 2007 to 2008
$178k
NHLBI NIH HHS K99 HL088021NHLBI NIH HHS R00 HL088021NHLBI NIH HHS U01 HL099993NIDDK NIH HHS P30 DK056465NIDDK NIH HHS U54 DK106829
6 · The paper itself

Abstract

We analyzed micro-RNAs (miRs) as possible diagnostic biomarkers for relevant comorbidities prior to and prognostic biomarkers for mortality following hematopoietic cell transplantation (HCT). A randomly selected group of patients (n = 36) were divided into low-risk (HCT-comorbidity index [HCT-CI] score of 0 and survived HCT) and high-risk (HCT-CI scores ≥ 4 and deceased after HCT) groups. There were 654 miRs tested and 19 met the pre-specified significance level of p < 0.1. In subsequent models, only eight miRs maintained statistical significance in regression models after adjusting for baseline demographic factors; miRs-374b and -454 were underexpressed, whereas miRs-142-3p, -191, -424, -590-3p, -29c, and -15b were overexpressed among high-risk patients relative to low-risk patients. Areas under the curve for these eight miRs ranged between 0.74 and 0.81, suggesting strong predictive capacity. Consideration of miRs may improve risk assessment of mortality and should be further explored in larger future prospective studies.

Indexed as

Gene Expression Regulation, LeukemicHematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcutePrecursor Cell Lymphoblastic Leukemia-LymphomaPreoperative PeriodAdultAgedAllograftsDisease-Free SurvivalFemaleHumansMaleMicroRNAsMiddle AgedPredictive Value of TestsRetrospective StudiesMicroRNAsRNA, Neoplasm

Identifiers

PMID30279573
PMCPMC6445788

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.