Evidence map›Paper›PMID 33051519›Full record

ArticleScientific reports2020

Validation of a survival benefit estimator tool in a cohort of European kidney transplant recipients.

Armando Coca, Carlos Arias-Cabrales, Ana Lucía Valencia, Carla Burballa, Juan Bustamante-Munguira, Dolores Redondo-Pachón, Isabel Acosta-Ochoa, Marta Crespo, Jesús Bustamante, Alicia Mendiluce and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Using Information Available at the Time of Donor Offer to Predict Kidney Transplant Survival Outcomes: A Systematic Review of Prediction Models.Transplant international : official journal of the European Society for Organ Transplantation · 2022
    Pooled it
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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

12 authors.

Armando CocaDepartment of Nephrology, Hospital Clínico Universitario de Valladolid, Avda. Ramón y Cajal SN, 47003, Valladolid, Spain. a.coca.rojo@gmail.com.
Carlos Arias-CabralesNephrology Department, Hospital del Mar, Barcelona, Spain.
Ana Lucía ValenciaNephrology Department, Hospital Universitario Río Hortega, Valladolid, Spain.
Carla BurballaNephrology Department, Hospital del Mar, Barcelona, Spain.
Juan Bustamante-MunguiraCardiac Surgery Department, Hospital Clínico Universitario, Valladolid, Spain.
Dolores Redondo-PachónNephrology Department, Hospital del Mar, Barcelona, Spain.
Isabel Acosta-OchoaDepartment of Nephrology, Hospital Clínico Universitario de Valladolid, Avda. Ramón y Cajal SN, 47003, Valladolid, Spain.
Marta CrespoNephrology Department, Hospital del Mar, Barcelona, Spain.
Jesús BustamanteMedicine, Dermatology and Toxicology Department, School of Medicine, Universidad de Valladolid, Valladolid, Spain.
Alicia MendiluceDepartment of Nephrology, Hospital Clínico Universitario de Valladolid, Avda. Ramón y Cajal SN, 47003, Valladolid, Spain.
Julio PascualNephrology Department, Hospital del Mar, Barcelona, Spain.
María José Pérez-SaézNephrology Department, Hospital del Mar, Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pre-transplant prognostic scores help to optimize donor/recipient allocation and to minimize organ discard rates. Since most of these scores come from the US, direct application in non-US populations is not advisable. The Survival Benefit Estimator (SBE), built upon the Estimated Post-Transplant Survival (EPTS) and the Kidney Donor Profile Index (KDPI), has not been externally validated. We aimed to examine SBE in a cohort of Spanish kidney transplant recipients. We designed a retrospective cohort-based study of deceased-donor kidney transplants carried out in two different Spanish hospitals. Unadjusted and adjusted Cox models were applied for patient survival. Predictive models were compared using Harrell's C statistics. SBE, EPTS and KDPI were independently associated with patient survival (p ≤ 0.01 in all models). Model discrimination measured with Harrell's C statistics ranged from 0.57 (KDPI) to 0.69 (SBE) and 0.71 (EPTS). After adjustment, SBE presented similar calibration and discrimination power to that of EPTS. SBE tended to underestimate actual survival, mainly among high EPTS recipients/high KDPI donors. SBE performed acceptably well at discriminating post-transplant survival in a cohort of Spanish deceased-donor kidney transplant recipients, although its use as the main allocation guide, especially for high KDPI donors or high EPTS recipients requires further testing.

Indexed as

AdultAgedGraft RejectionHumansKidney TransplantationMaleMiddle AgedModels, StatisticalPrognosisProportional Hazards ModelsReproducibility of ResultsRetrospective StudiesSpainSurvival Analysis

Identifiers

PMID33051519
PMCPMC7555860

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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.