Evidence mapPaperPMID 41228469Full record

ArticleNutrients2025

AI-BASED Tool to Estimate Sodium Intake in STAGE 3 to 5 CKD Patients-The UniverSel Study.

Maelys Granal, Nans Florens, Milo Younes, Denis Fouque, Laetitia Koppe, Emmanuelle Vidal-Petiot, Béatrice Duly-Bouhanick, Sandrine Cartelier, Florence Sens, Jean-Pierre Fauvel

Abstract readMulticenter Study
In one paragraph

Article in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Maelys GranalHospices Civils de Lyon, Hôpital Edouard Herriot, Service de Néphrologie, Université Claude Bernard Lyon 1, 69003 Lyon, France.
Nans FlorensDepartment of Nephrology, Hôpitaux Universitaires de Strasbourg, 1 Place de l'Hôpital, 67000 Strasbourg, France.ORCID 0000-0002-0960-6055
Milo YounesLaboratoire de Biométrie et Biologie Evolutive, Equipe EMET Equipe Evaluation et Modélisation des Effets Thérapeutiques, Université Claude Bernard Lyon 1, 69100 Villeurbanne, France.
Denis FouqueHospices Civils de Lyon, Centre Hospitalier Lyon Sud, Université de Lyon, Service de Néphrologie, Carmen, 69495 Pierre-Bénite, France.ORCID 0000-0002-9707-7199
Laetitia KoppeHospices Civils de Lyon, Centre Hospitalier Lyon Sud, Université de Lyon, Service de Néphrologie, Carmen, 69495 Pierre-Bénite, France.ORCID 0000-0002-5076-2420
Emmanuelle Vidal-PetiotPhysiology Department, ESH Hypertension Excellence Centre Bichat Hospital, AP-HP, Université Paris Cité, Inserm U1148, LVTS, 75018 Paris, France.ORCID 0000-0001-9356-7302
Béatrice Duly-BouhanickDepartment of Hypertension and Therapeutics, CHU Rangueil, 31400 Toulouse, France.
Sandrine CartelierHospices Civils de Lyon, Hôpital Edouard Herriot, Service de Néphrologie, Université Claude Bernard Lyon 1, 69003 Lyon, France.
Florence SensCentre AURAL-Lyon, 124 Rue Villon, 69008 Lyon, France.
Jean-Pierre FauvelHospices Civils de Lyon, Hôpital Edouard Herriot, Service de Néphrologie, Université Claude Bernard Lyon 1, 69003 Lyon, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Renal Insufficiency, ChronicSodium, DietaryAgedBayes TheoremFemaleFranceHumansHypertensionMaleMiddle AgedSodium, DietaryBayesian networkchronic kidney diseaseepidemiologymachine learningprediction toolsodium diet

Identifiers

PMID41228469
PMCPMC12610316

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.