Evidence map›Paper›PMID 31992233›Full record

ArticleBMC nephrology2020

Linking disease registries and nationwide healthcare administrative databases: the French renal epidemiology and information network (REIN) insight.

Maxime Raffray, Sahar Bayat, Mathilde Lassalle, Cécile Couchoud

Abstract read
In one paragraph

Article in BMC nephrology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 2 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

36 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  12. Improved outcomes with leadless vs. single-chamber transvenous pacemaker in haemodialysis patients.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
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  13. Efficacy and safety of direct oral anticoagulants versus vitamin K antagonists in patients on chronic dialysis.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2024
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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

4 authors.

Maxime RaffrayUniv Rennes, Ecole des Hautes Etudes en Santé Publique (EHESP), Recherche en pharmaco-épidémiologie et recours aux soins (REPERES) - EA 7449, 15 Avenue du Professeur Léon Bernard, 35043, Rennes, France.
Sahar BayatUniv Rennes, Ecole des Hautes Etudes en Santé Publique (EHESP), Recherche en pharmaco-épidémiologie et recours aux soins (REPERES) - EA 7449, 15 Avenue du Professeur Léon Bernard, 35043, Rennes, France.
Mathilde LassalleCoordination nationale Registre REIN, Agence de la biomédecine, 1, avenue du Stade-de-France, 93212, Saint-Denis-La-Plaine cedex, France.
Cécile CouchoudCoordination nationale Registre REIN, Agence de la biomédecine, 1, avenue du Stade-de-France, 93212, Saint-Denis-La-Plaine cedex, France. cecile.couchoud@biomedecine.fr.ORCID 0000-0002-9273-660X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecord linkage is increasingly used in health research worldwide. Combining the patient information available in healthcare, administrative and clinical databases broadens the research perspectives, particularly for chronic diseases. Recent guidelines highlight the need for transparency on the used record linkage processes and the extracted data to be used by researchers.

methodsTherefore, the aim of this study was to describe the deterministic iterative approach used to link the French Epidemiology and Information Network (REIN), a French national End-Stage Renal Disease registry, with the Système National des Données de Santé (SNDS), a French nationwide medico-administrative healthcare database.

resultsAmong the 22,073 patients included in the REIN registry who started renal replacement therapy between 2014 and 2015 in France, 19,223 (87.1%) were matched with patients in the SNDS database. Comparison of matched and unmatched patients confirmed the absence of any major selection bias. Then, the record linkage was evaluated using the comorbidity status (diabetes).

conclusionsThis fast and efficient method of record linkage with pseudonymized data and without unique and direct identifier might inspire other research teams. It also opens the path for new research on chronic kidney disease.

Indexed as

AlgorithmsRegistriesAdolescentAdultAgedAged, 80 and overChildChild, PreschoolComorbidityData AnonymizationDiabetes MellitusEpidemiologic StudiesFemaleFranceHealth Information SystemsHumans

Identifiers

PMID31992233
PMCPMC6988267

What OpenQuestion holds

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LicenceCC BY
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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.