Evidence map›Paper›PMID 39582039›Full record

ArticleScientific reports2024

A convergent mixed methods to study registration on kidney transplantation waiting list refusal by women and men on dialysis in France.

Latame Komla Adoli, Arnaud Campeon, Valérie Chatelet, Cécile Couchoud, Thierry Lobbedez, Florian Bayer, Elsa Vabret, Eric Daugas, Cécile Vigneau, Jean-Philippe Jais and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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. 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

11 authors.

Latame Komla AdoliEHESP, CNRS, INSERM, Arènes - UMR 6051, RSMS - U1309 -, University Rennes, 35000, Rennes, France. Latame.adoli@ehesp.fr.ORCID 0000-0003-4670-2668
Arnaud CampeonArènes-UMR 6051, ISSAV, EHESP, CNRS, 35000, Rennes, France.
Valérie ChateletU1086 INSERM, Anticipe, Centre De Lutte Contre Le Cancer François Baclesse, Centre Universitaire Des Maladies Rénales, Caen, France.
Cécile CouchoudBiomedecine Agency, Renal Epidemiology and Information Network (REIN) Registry, Saint-Denis-La-Plaine, France.
Thierry LobbedezU1086 INSERM, Anticipe, Centre De Lutte Contre Le Cancer François Baclesse, Centre Universitaire Des Maladies Rénales, Caen, France.
Florian BayerBiomedecine Agency, Renal Epidemiology and Information Network (REIN) Registry, Saint-Denis-La-Plaine, France.
Elsa VabretEHESP, CNRS, INSERM, Arènes - UMR 6051, RSMS - U1309 -, University Rennes, 35000, Rennes, France.
Eric DaugasInserm U1149, Université Paris Cité Assistance Publique-Hôpitaux De Paris Service De Néphrologie Hôpital Bichat, Paris, France.
Cécile VigneauCHU Rennes, INSERM, EHESP, IRSET (Institut de Recherche en Santé, Environnement et Travail) - UMR_S 1085, University Rennes, 35000, Rennes, France.
Jean-Philippe JaisUnité de Biostatistique, Hôpital Necker-Enfants Malades, AP-HP; Institut Imagine, Université Paris-Cité, Paris, France.
Sahar Bayat-MakoeiEHESP, CNRS, INSERM, Arènes - UMR 6051, RSMS - U1309 -, University Rennes, 35000, Rennes, France.

Funding

Agence Nationale de la Recherche ANR-20-CE36-0002-01
6 · The paper itself

Abstract

Not all patients on dialysis want to be registered on the kidney transplantation (KT) waiting list and undergo transplantation. The aim of this convergent mixed methods study was to determine the features of patients refusing to be registered on the KT waiting list and the reasons. Quantitative data on all 2017-2019 incident 18-85-year-old dialysis patients, eligible for KT, were extracted from the REIN registry in France. Qualitative data were collected through semi-structured interviews with patients on dialysis and nephrologists from the Bretagne, Île-de-France and Normandie French regions. The binary logistic regression method was used to identify factors/reasons associated with registration refusal and an inductive thematic analysis was performed on qualitative data. The quantitative analysis included data of 10,512 patients (mean age = 57.5 years). Among them, 860 (8.18%) refused to be registered on the KT waiting list. The multivariate analysis showed that women were 83% more likely to refuse registration compared with men. The qualitative analysis included 21 patients and 11 nephrologists. The integration of the results from the quantitative and qualitative analyses allowed identifying some factors associated with the registration refusal. Most of these factors converged across analyses. These included age, sex/gender, autonomy on dialysis and comorbidities. The integration of the results highlighted some divergence concerning sex/gender and autonomy and an area of expansion related to comorbidities. In conclusion, the patient age, sex/gender and comorbidities appear to play an important role in the refusal to be registered on the waiting list. Interventions focused on these factors might help to improve KT accessibility in France.

Indexed as

Kidney TransplantationRenal DialysisWaiting ListsAdolescentAdultAgedAged, 80 and overFemaleFranceHumansKidney Failure, ChronicMaleMiddle AgedRegistriesSex FactorsYoung AdultChronic kidney diseaseGender/sexMixed methodsRefusalTransplantation

Identifiers

PMID39582039
PMCPMC11586399

What Socratic holds

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LicenceCC BY
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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 Socratic graph.