Evidence map›Paper›PMID 31256854›Full record

ArticleMayo Clinic proceedings2019

Clinical Applications and Utility of a Precision Medicine Approach for Patients With Unexplained Cytopenias.

Abhishek A Mangaonkar, Alejandro Ferrer, Filippo Pinto E Vairo, Margot A Cousin, Ryan J Kuisle, Naseema Gangat, William J Hogan, Mark R Litzow, Tammy M McAllister, Eric W Klee and 3 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–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

11 citing papers in PubMed.

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  11. Data-driven Sublanguage Analysis for Cancer Genomics Knowledge Modeling: Applications in Mining Oncological Genetics Information from Patients' Genetic Reports.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020
    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.

Abhishek A MangaonkarDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Alejandro FerrerCenter for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Filippo Pinto E VairoCenter for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Margot A CousinCenter for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Ryan J KuisleDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota; Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Naseema GangatDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
William J HoganDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Mark R LitzowDivision of Hematology, Mayo Clinic, Rochester, Minnesota.
Tammy M McAllisterDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota; Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Eric W KleeDepartment of Health Sciences Research, Mayo Clinic, Rochester, Minnesota; Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Konstantinos N LazaridisCenter for Individualized Medicine, Mayo Clinic, Rochester, Minnesota; Division of Gastroenterology, Mayo Clinic, Rochester, Minnesota.
A Keith StewartDivision of Hematology, Mayo Clinic, Rochester, Minnesota; Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
Mrinal M PatnaikDivision of Hematology, Mayo Clinic, Rochester, Minnesota. Electronic address: patnaik.mrinal@mayo.edu.

Funding

Mayo Clinic Center for Translational Science ActivitiesKL2TR000136 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$6.6M
NCATS NIH HHS KL2 TR000136
6 · The paper itself

Abstract

objectiveTo demonstrate experience and feasibility of a precision medicine approach for patients with unexplained cytopenias, defined as low blood counts in one or more cell lineages, persistent for 6 months or longer, in the absence of known nutritional, autoimmune, infectious, toxic, and neoplastic (secondary) causes. PATIENTS AND

methodsPatients were evaluated in our clinic between November 8, 2016, and January 12, 2018. After a thorough evaluation of known causes, family history, and appropriate clinical assays, genomic evaluation was performed in a stepwise manner, through Sanger, targeted, and/or whole-exome sequencing. Variants were analyzed and discussed in a genomics tumor board attended by clinicians, bioinformaticians, and molecular biologists.

resultsSixty-eight patients were evaluated in our clinic. After genomic interrogation, they were classified into inherited bone marrow failure syndromes (IBMFS) (n=24, 35%), cytopenias without a known clinical syndrome which included idiopathic and clonal cytopenias of undetermined significance (CCUS) (n=30, 44%), and patients who did not fit into the above two categories ("others," n=14, 21%). A significant family history was found in only 17 (25%) patients (9 IBMFS, 2 CCUS, and 6 others), whereas gene variants were found in 43 (63%) patients (34 [79%] pathogenic including 12 IBMFS, 17 CCUS, and 5 others]. Genomic assessment resulted in a change in clinical management in 17 (25%) patients, as evidenced by changes in decisions with regards to therapeutic interventions (n=8, 47%), donor choice (n=6, 35%), and/or choice of conditioning regimen for hematopoietic stem cell transplantation (n=8, 47%).

conclusionWe show clinical utility of a real-world algorithmic precision medicine approach for unexplained cytopenias.

Indexed as

Medically Unexplained SymptomsAcademic Medical CentersAdolescentAdultAnemiaBlood Cell CountBone Marrow Failure DisordersChildCohort StudiesFemaleGenomicsHematologic DiseasesHumansLeukopeniaMaleMiddle Aged

Identifiers

PMID31256854
PMCPMC6728219

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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.