Evidence map›Paper›PMID 31098340›Full record

ArticleCurrent transplantation reports2017

Fifty Shades of Tolerance: Beyond a Binary Tolerant/Non-Tolerant Paradigm.

Michelle L Miller, Anita S Chong, Maria-Luisa Alegre

Abstract read
In one paragraph

Article in Current transplantation reports, 2017. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Acute murine cytomegalovirus disrupts established transplantation tolerance and causes recipient allo-sensitization.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2021
    Article
  3. Regulation of Alloantibody Responses.Frontiers in cell and developmental biology · 2021
    Review
  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

3 authors.

Michelle L MillerDepartment of Medicine, Section of Rheumatology, University of Chicago.
Anita S ChongDepartment of Surgery, Section of Transplantation, University of Chicago.
Maria-Luisa AlegreDepartment of Medicine, Section of Rheumatology, University of Chicago.

Funding

T cell mechanisms that distinguish robust tolerance from metastable allograft acceptance and failed tolerance (Project 2)P01AI097113 · NIAID · UNIVERSITY OF CHICAGO · PI Maria-Luisa Alegre, Anita S Chong · 2012 to 2026
$23.8M
CARDIOVASCULAR PATHOPHYSIOLOGY &BIOCHEMISTRY TRAININGT32HL007237 · NHLBI · UNIVERSITY OF CHICAGO · PI GETZ, GODFREY SHALOM · 1985 to 2011
$5.0M
NHLBI NIH HHS T32 HL007237NIAID NIH HHS P01 AI097113
6 · The paper itself

Abstract

purpose of reviewIt has long been considered that tolerance in a transplant recipient is a binary all-or-none state: either the graft is accepted without immunosuppression identifying the recipient as tolerant, or the recipient rejects the graft and is not tolerant. This tolerance paradigm, however, does not accurately reflect data emerging from animal models and patients and requires revision. RECENT

findingsIt is becoming appreciated that there may be different gradations in the quality of tolerance based on underlying cellular mechanisms of immunological tolerance, and that individuals may enhance their tolerance by strengthening or combining different cellular mechanisms. Furthermore, evidence suggests that even if tolerance is lost, the loss may be only temporary, and in some circumstances tolerance can be restored. SUMMARY: Shifting our focus from an all-or-nothing tolerance paradigm to one with many shades may help us better understand how tolerance operates, and how this state may be tracked and enhanced for better patient outcomes.

Indexed as

ErosionRobustnessToleranceTransplantation

Identifiers

PMID31098340
PMCPMC6516484

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Registered trials

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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.