Evidence map›Paper›PMID 28221244›Full record

ArticleTransplantation2017

HLA Amino Acid Polymorphisms and Kidney Allograft Survival.

Malek Kamoun, Keith P McCullough, Martin Maiers, Marcelo A Fernandez Vina, Hongzhe Li, Valerie Teal, Alan B Leichtman, Robert M Merion

Abstract read
In one paragraph

Article in Transplantation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Malek Kamoun1 Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA. 2 Arbor Research Collaborative for Health, Ann Arbor, MI. 3 National Marrow Donor Program, Minneapolis, MN. 4 Department of Pathology, Stanford University, Palo Alto, CA. 5 Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA.
Keith P McCullough
Martin Maiers
Marcelo A Fernandez Vina
Hongzhe Li
Valerie Teal
Alan B Leichtman
Robert M Merion

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe association of HLA mismatching with kidney allograft survival has been well established. We examined whether amino acid (AA) mismatches (MMs) at the antigen recognition site of HLA molecules represent independent and incremental risk factors for kidney graft failure (GF) beyond those MMs assessed at the antigenic (2-digit) specificity.

methodsData on 240 024 kidney transplants performed between 1987 and 2009 were obtained from the Scientific Registry of Transplant Recipients. We imputed HLA-A, -B, and -DRB1 alleles and corresponding AA polymorphisms from antigenic specificity through the application of statistical and population genetics inferences. GF risk was evaluated using Cox proportional-hazards regression models adjusted for covariates including patient and donor risk factors and HLA antigen MMs.

resultsWe show that estimated AA MMs at particular positions in the peptide-binding pockets of HLA-DRB1 molecule account for a significant incremental risk that was independent of the well-known association of HLA antigen MMs with graft survival. A statistically significant linear relationship between the estimated number of AA MMs and risk of GF was observed for HLA-DRB1 in deceased donor and living donor transplants. This relationship was strongest during the first 12 months after transplantation (hazard ratio, 1.30 per 15 DRB1 AA MM; P < 0.0001).

conclusionsThis study shows that independent of the well-known association of HLA antigen (2-digit specificity) MMs with kidney graft survival, estimated AA MMs at peptide-binding sites of the HLA-DRB1 molecule account for an important incremental risk of GF.

Indexed as

Kidney TransplantationPolymorphism, GeneticFollow-Up StudiesGenetic MarkersGraft RejectionGraft SurvivalHLA AntigensHumansLinear ModelsProportional Hazards ModelsGenetic MarkersHLA Antigens

Identifiers

PMID28221244
PMCPMC5642346

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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.