Evidence map›Paper›PMID 34441950›Full record

ReviewJournal of clinical medicine2021

Optimal Immunosuppression Strategy in the Sensitized Kidney Transplant Recipient.

Danae Olaso, Miriam Manook, Dimitrios Moris, Stuart Knechtle, Jean Kwun

Open access · goldAbstract readReview
In one paragraph

Review in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Danae OlasoDuke Transplant Center, Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.
Miriam ManookDuke Transplant Center, Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.
Dimitrios MorisDuke Transplant Center, Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-5276-0699
Stuart KnechtleDuke Transplant Center, Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.
Jean KwunDuke Transplant Center, Department of Surgery, Duke University School of Medicine, Durham, NC 27710, USA.ORCID 0000-0002-8563-5472
Duke University · US

Funding

The Risks and Opportunities of Homeostatic RepopulationU19AI131471 · NIAID · DUKE UNIVERSITY · PI Andrew Serghios Barbas · 2017 to 2026
$30.4M
National Institute of Allergy and Infectious Diseases U19AI131471
6 · The paper itself

Abstract

Patients with previous sensitization events against anti-human leukocyte antigens (HLA) often have circulating anti-HLA antibodies. Following organ transplantation, sensitized patients have higher rates of antibody-mediated rejection (AMR) compared to those who are non-sensitized. More stringent donor matching is required for these patients, which results in a reduced donor pool and increased time on the waitlist. Current approaches for sensitized patients focus on reducing preformed antibodies that preclude transplantation; however, this type of desensitization does not modulate the primed immune response in sensitized patients. Thus, an optimized maintenance immunosuppressive regimen is necessary for highly sensitized patients, which may be distinct from non-sensitized patients. In this review, we will discuss the currently available therapeutic options for induction, maintenance, and adjuvant immunosuppression for sensitized patients.

Indexed as

B cellimmunosuppressioninductionplasma cellsensitization

Identifiers

PMID34441950
PMCPMC8396983
OpenAlexW3194607011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.