Evidence map›Paper›PMID 35769851›Full record

ArticleKorean journal of transplantation2021

Enhanced virtual crossmatch in intestinal transplantation: association with outcomes and application in practice.

Jang Il Moon, Huaibin M Ko, Kishore R Iyer

Abstract read
In one paragraph

Article in Korean journal of transplantation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jang Il MoonRecanati Miller Transplantation Institute and Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0003-3564-6859
Huaibin M KoDepartment of Pathology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0003-1062-2383
Kishore R IyerRecanati Miller Transplantation Institute and Department of Surgery, Icahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID https://orcid.org/0000-0002-1446-3271

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The presence of preformed donor-specific antibodies in recipient serum against anti-human leukocyte antigen is a significant risk factor that negatively affects the outcomes of intestinal transplantation. Avoiding high-risk intestinal transplantation by physical and virtual cross matches has had limited success due to time constraints and ineffective correlation, respectively. Methods: We developed a guideline to improve the association between physical and virtual cross matches using the retrospective data of 56 consecutive primary adult isolated intestinal transplantations from a single center. Results: The mean fluorescence intensity of 2,000 for positive donor-specific antibodies revealed the best association between physical and virtual cross matches among different cut-off values, but with an unacceptable false positive rate of 54%. An enhanced virtual cross match with the summation of the mean fluorescence intensity of each anti-human leukocyte antigen improved the association between physical and virtual cross matches, with a sensitivity of 83% and specificity of 98%. Conclusions: This enhanced virtual cross match more effectively predicts high-risk intestinal transplantation and is a better substitute for physical cross-match than the current virtual cross match. It also helps to avoid ill-considered abandonment of intestinal transplantation that is unnecessarily deemed high risk based on a simple virtual cross match.

Indexed as

Anti-human leukocyte antigenDonor specific antibodyIntestinal transplantationMean fluorescence intensityVirtual and physical cross match

Identifiers

PMID35769851
PMCPMC9235456

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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.