Evidence map›Paper›PMID 25520720›Full record

ReviewFrontiers in immunology2014

Stem cell transplantation as a dynamical system: are clinical outcomes deterministic?

Amir A Toor, Jared D Kobulnicky, Salman Salman, Catherine H Roberts, Max Jameson-Lee, Jeremy Meier, Allison Scalora, Nihar Sheth, Vishal Koparde, Myrna Serrano and 7 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Dynamical System Modeling of Immune Reconstitution after Allogeneic Stem Cell Transplantation Identifies Patients at Risk for Adverse Outcomes.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2015
    Trial
  2. T Cell Repertoire Evolution after Allogeneic Bone Marrow Transplantation: An Organizational Perspective.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Article
  3. Review
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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

17 authors.

Amir A ToorStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Jared D KobulnickyStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Salman SalmanStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Catherine H RobertsStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Max Jameson-LeeStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Jeremy MeierStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Allison ScaloraStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Nihar ShethCenter for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA.
Vishal KopardeCenter for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA.
Myrna SerranoCenter for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA.
Gregory A BuckCenter for the Study of Biological Complexity, Virginia Commonwealth University , Richmond, VA , USA.
William B ClarkStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
John M McCartyStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Harold M ChungStem Cell Transplant Program, Department of Internal Medicine, Massey Cancer Center, Virginia Commonwealth University , Richmond, VA , USA.
Masoud H ManjiliDepartment of Microbiology and Immunology, Virginia Commonwealth University , Richmond, VA , USA.
Roy T SaboDepartment of Biostatistics, Virginia Commonwealth University , Richmond, VA , USA.
Michael C NealeDepartment of Psychiatry and Statistical Genomics, Virginia Commonwealth University , Richmond, VA , USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outcomes in stem cell transplantation (SCT) are modeled using probability theory. However, the clinical course following SCT appears to demonstrate many characteristics of dynamical systems, especially when outcomes are considered in the context of immune reconstitution. Dynamical systems tend to evolve over time according to mathematically determined rules. Characteristically, the future states of the system are predicated on the states preceding them, and there is sensitivity to initial conditions. In SCT, the interaction between donor T cells and the recipient may be considered as such a system in which, graft source, conditioning, and early immunosuppression profoundly influence immune reconstitution over time. This eventually determines clinical outcomes, either the emergence of tolerance or the development of graft versus host disease. In this paper, parallels between SCT and dynamical systems are explored and a conceptual framework for developing mathematical models to understand disparate transplant outcomes is proposed.

Indexed as

dynamical systemgraft versus host diseaselogistic functionstem cell transplantationT cell repertoire

Identifiers

PMID25520720
PMCPMC4253954

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.