Evidence map›Paper›PMID 28671951›Full record

ArticlePloS one2017

An adjustable predictive score of graft survival in kidney transplant patients and the levels of risk linked to de novo donor-specific anti-HLA antibodies.

Aurélie Prémaud, Matthieu Filloux, Philippe Gatault, Antoine Thierry, Matthias Büchler, Eliza Munteanu, Pierre Marquet, Marie Essig, Annick Rousseau

Abstract readValidation Study
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  9. Surrogate Endpoints for Late Kidney Transplantation Failure.Transplant international : official journal of the European Society for Organ Transplantation · 2022
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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

9 authors.

Aurélie PrémaudINSERM, U850, Limoges, France.ORCID http://orcid.org/0000-0001-5004-5918
Matthieu FillouxCHU Limoges, Service d'immunologie et immunogénétique, Limoges, France.
Philippe GataultCHU Tours, Service Néphrologie-et Immunologie Clinique, Tours, France.
Antoine ThierryCHU Poitiers, Service de Néphrologie-Hémodialyse-Transplantation rénale, Poitiers, France.
Matthias BüchlerCHU Tours, Service Néphrologie-et Immunologie Clinique, Tours, France.
Eliza MunteanuCHU Limoges, Service de néphrologie, dialyse-transplantations, Limoges, France.
Pierre MarquetINSERM, U850, Limoges, France.
Marie EssigINSERM, U850, Limoges, France.
Annick RousseauINSERM, U850, Limoges, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most predictive models and scores of graft survival in renal transplantation include factors known before transplant or at the end of the first year. They cannot be updated thereafter, even in patients developing donor-specific anti-HLA antibodies and acute rejection.We developed a conditional and adjustable score for prediction of graft failure (AdGFS) up to 10 years post-transplantation in 664 kidney transplant patients. AdGFS was externally validated and calibrated in 896 kidney transplant patients.The final model included five baseline factors (pretransplant non donor-specific anti-HLA antibodies, donor age, serum creatinine measured at 1 year, longitudinal serum creatinine clusters during the first year, proteinuria measured at 1 year), and two predictors updated over time (de novo donor-specific anti-HLA antibodies and first acute rejection). AdGFS was able to stratify patients into four risk-groups, at different post-transplantation times. It showed good discrimination (time-dependent ROC curve at ten years: 0.83 (CI95% 0.76-0.89).

Indexed as

Graft SurvivalKidney TransplantationTissue DonorsAdultAutoantibodiesCluster AnalysisCreatinineFemaleGraft RejectionHLA AntigensHumansMaleMiddle AgedAutoantibodiesCreatinineHLA Antigens

Identifiers

PMID28671951
PMCPMC5495333

What OpenQuestion holds

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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.