Evidence map›Paper›PMID 28158255›Full record

ArticlePloS one2017

Improvement in the definition of anti-HLA antibody profile in highly sensitized patients.

Juan Irure, Esther Asensio, Emilio Rodrigo, Íñigo Romón, Javier Gómez, Manuel Arias, Marcos López-Hoyos, David San Segundo

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Juan IrureImmunology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
Esther AsensioImmunology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
Emilio RodrigoNephrology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
Íñigo RomónTissue Typing Laboratory, University Hospital Marqués de Valdecilla, Santander, Spain.
Javier GómezPathology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
Manuel AriasNephrology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
Marcos López-HoyosImmunology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.
David San SegundoImmunology Service, University Hospital Marqués de Valdecilla-IDIVAL, Santander, Spain.ORCID http://orcid.org/0000-0001-5745-9072

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The definition of anti-HLA antibody profile in highly sensitized patients on a waiting list is crucial when virtual crossmatch is used in organ allocation systems, but also when used to identify the true deleterious anti-HLA antibodies. Here we propose different levels of risk based on the results of anti-HLA antibody testing in neat serum (N) and after sera dilution (DIL) and C1q test in 18 highly sensitized patients. This group was heterogeneous in terms of anti-HLA antibody titers and their ability to fix complement. After dilution, 15 out of 18 patients (83.3%) showed a reduction of positive bead counts whereas 4 patients showed a prozone effect and complement fixation was demonstrated. The high dilution of sera and ascertaining the complement fixation allow the accurate definition of risk anti-HLA antibody profiles in highly sensitized patients, as demonstrated in 5 of the sensitized patients who were transplanted.

Indexed as

Antibody-Dependent Cell CytotoxicityAutoantibodiesCohort StudiesComplement ActivationComplement C1qFemaleFlow CytometryHistocompatibility TestingHLA AntigensHumansLeukocytes, MononuclearMaleMiddle AgedAutoantibodiesComplement C1qHLA Antigens

Identifiers

PMID28158255
PMCPMC5291387

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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.