Evidence map›Paper›PMID 27152510›Full record

Observational studyPloS one2016

Mortality Prediction after the First Year of Kidney Transplantation: An Observational Study on Two European Cohorts.

Marine Lorent, Magali Giral, Manuel Pascual, Michael T Koller, Jürg Steiger, Katy Trébern-Launay, Christophe Legendre, Henri Kreis, Georges Mourad, Valérie Garrigue and 8 more

Abstract readObservational Study
In one paragraph

Observational study in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

18 authors.

Marine LorentEA 4275 SPHERE-Biostatistics, Clinical Research and Pharmaco-Epidemiology. Nantes University, Nantes, France.
Magali GiralTransplantation, Urology and Nephrology Institute (ITUN)-INSERM U1064, CHU Nantes, Nantes, France.
Manuel PascualTransplantation Center, CHUV and University of Lausanne, Lausanne, Switzerland.
Michael T KollerBasel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, Basel, Switzerland.
Jürg SteigerTransplantation Immunology and Nephrology, University Hospital Basel, Basel, Switzerland.
Katy Trébern-LaunayEA 4275 SPHERE-Biostatistics, Clinical Research and Pharmaco-Epidemiology. Nantes University, Nantes, France.
Christophe LegendreService de Transplantation Rénale et de Soins Intensifs, Hôpital Necker, APHP Paris, Paris, France.
Henri KreisService de Transplantation Rénale et de Soins Intensifs, Hôpital Necker, APHP Paris, Paris, France.
Georges MouradService de Néphrologie-Transplantation, Hôpital Lapeyronie, Montpellier, France.
Valérie GarrigueService de Néphrologie-Transplantation, Hôpital Lapeyronie, Montpellier, France.
Lionel RostaingService de Néphrologie, HTA, Dialyse et Transplantation d'Organes, CHU Rangueil, Toulouse, France.
Nassim KamarService de Néphrologie, HTA, Dialyse et Transplantation d'Organes, CHU Rangueil, Toulouse, France.
Michèle KesslerService de Transplantation Rénale, CHU Brabois, Nancy, France.
Marc LadrièreService de Transplantation Rénale, CHU Brabois, Nancy, France.
Emmanuel MorelonService de Néphrologie, Transplantation et Immunologie Clinique, Hôpital Edouard Herriot, Lyon, France.
Fanny BuronService de Néphrologie, Transplantation et Immunologie Clinique, Hôpital Edouard Herriot, Lyon, France.
Dela GolshayanTransplantation Center, CHUV and University of Lausanne, Lausanne, Switzerland.
Yohann FoucherEA 4275 SPHERE-Biostatistics, Clinical Research and Pharmaco-Epidemiology. Nantes University, Nantes, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

After the first year post transplantation, prognostic mortality scores in kidney transplant recipients can be useful for personalizing medical management. We developed a new prognostic score based on 5 parameters and computable at 1-year post transplantation. The outcome was the time between the first anniversary of the transplantation and the patient's death with a functioning graft. Afterwards, we appraised the prognostic capacities of this score by estimating time-dependent Receiver Operating Characteristic (ROC) curves from two prospective and multicentric European cohorts: the DIVAT (Données Informatisées et VAlidées en Transplantation) cohort composed of patients transplanted between 2000 and 2012 in 6 French centers; and the STCS (Swiss Transplant Cohort Study) cohort composed of patients transplanted between 2008 and 2012 in 6 Swiss centers. We also compared the results with those of two existing scoring systems: one from Spain (Hernandez et al.) and one from the United States (the Recipient Risk Score, RRS, Baskin-Bey et al.). From the DIVAT validation cohort and for a prognostic time at 10 years, the new prognostic score (AUC = 0.78, 95%CI = [0.69, 0.85]) seemed to present significantly higher prognostic capacities than the scoring system proposed by Hernandez et al. (p = 0.04) and tended to perform better than the initial RRS (p = 0.10). By using the Swiss cohort, the RRS and the the new prognostic score had comparable prognostic capacities at 4 years (AUC = 0.77 and 0.76 respectively, p = 0.31). In addition to the current available scores related to the risk to return in dialysis, we recommend to further study the use of the score we propose or the RRS for a more efficient personalized follow-up of kidney transplant recipients.

Indexed as

Cohort StudiesDecision MakingEuropeHumansKidney TransplantationPrognosisSurvival Analysis

Identifiers

PMID27152510
PMCPMC4859488

What OpenQuestion holds

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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.