Evidence map›Paper›PMID 42547784›Full record

Observational studyScientific reports2026

Global, multilingual, physician-invited, patient-completed digital registry enabling pre-consultation engagement and supporting more efficient care pathways in venous disease.

Sergio Gianesini, Yung Wei Chi, Chantal Aguero, Giovanni Brancalion-Spadon, Nathalia Cardoso, Suat Doganci, Sergiu Ciprian Matei, Karol Chakkour, Celine Eggen, Elena Goranova and 14 more

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2026. 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

24 authors.

Sergio GianesiniUniversity of Ferrara, via Ludovico Ariosto, 35, 44121, Ferrara, Italy. gnssrg@unife.it.
Yung Wei ChiUniversity of California Davis, Sacramento, USA.
Chantal AgueroAsuncion Vanguardia Clinic, Asunción, Paraguay.
Giovanni Brancalion-SpadonLegaltech Department, Porto4, Mira, Italy.
Nathalia CardosoNC Saúde Vascular, São Luís, Brazil.
Suat DoganciTurkish Society of Phlebology, Istanbul, Turkey.
Sergiu Ciprian MateiVictor Babeș University of Medicine and Pharmacy, Timișoara, Romania.
Karol ChakkourSzpital Luxmed, Warsaw, Poland.
Celine EggenPolikliniek de Blaak, Rotterdam, The Netherlands.
Elena GoranovaUniversity Hospital Lozenetz, Sofia, Bulgaria.
Ravul JindalFortis Hospital, Chandigarh, India.
Zaza LazarashviliTbilisi State University, Tbilisi, Georgia.
Alexander LazarovSofia University St. Kliment Ohridski, Sofia, Bulgaria.
Erasto Aldrett-LeeGrupo de Atención Vascular Integral, San Luis Potosí, Mexico.
Erica MenegattiUniversity of Ferrara, via Ludovico Ariosto, 35, 44121, Ferrara, Italy.
Makoto MoYokohama City University, Yokohama, Japan.
Gisele PeronHospital Regional Sinop, Sinop, MT, Brazil.
Maria PortugalHospital Israelita Albert Einstein, Sao Paulo, Brazil.
Luis RodriguezNational University of El Salvador, San Salvador, El Salvador.
Aida RizkVarices 911 Clinic, Montreal, Canada.
Rodrigo RialUniversity Hospital HM, Madrid, Spain.
Stanley RocksonStanford University School of Medicine, Stanford, USA.
Julianne StoughtonHarvard Medical School, Massachusetts General Brigham, Boston, USA.
Danila AzzolinaUniversity of Naples Federico II, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lower limb venous diseases are prevalent chronic conditions that require standardized, efficient, and patient-centered clinical assessment across diverse healthcare settings. Despite increasing digitalization of healthcare, scalable multilingual digital infrastructures capable of supporting standardized pre-consultation data collection and physician-validated real-world evidence generation remain limited. We conducted a global, cross-sectional observational study, using an innovative physician-invited/patient-completed digital registry, designed to enable pre-clinical engagement. The registry was conceived as a modular, multilingual digital infrastructure, allowing individuals to include clinical data prior to any physician encounter who will then validate the already acquired information, while also completing the healthcare professional part· We assessed geographic reach, usability, engagement in data completion, and cross-sectional associations between demographic, clinical factors and disease stage, defined as CEAP clinical class and Venous Clinical Severity Score (VCSS). 6457 patients from 59 countries from Africa, Asia, Europe, North and South America enrolled in the registry before their first specialist consultation. Completion of all the required data was achieved by 1355 patients from 12 countries. Among participating physicians, the platform usability was rated as easy in 94.2% of responses, while its overall usefulness was rated as high or very high in 76.6% of responses. Privacy concerns were expressed in 17% of cases. Cross-sectional analyses identified risk factor profiles associated with CEAP class ≥ 4 and VCSS ≥ 8·5. These stage-associated profiles differed from those previously reported, reflecting the need for a detailed integration of appropriately collected real-world data in venous disease investigations. A global, multilingual, physician-invited/patient-completed digital registry may facilitate earlier patient engagement and has the potential to support more efficient care pathway, moreover across linguistic contexts, with more timely data capture. This registry provides a scalable digital infrastructure for standardized patient- and physician-validated data collection across multiple countries, with potential applicability to multidisciplinary clinical practice and research. Such infrastructure may facilitate earlier and broader diagnostic insights, including for conditions beyond the initial reason for care seeking, and provide a robust foundation for machine learning, reducing reliance on synthetic datasets and supporting scalable, equitable digital health innovation across medical specialties.

Indexed as

RegistriesVascular DiseasesAdultAgedCross-Sectional StudiesDigital HealthFemaleHumansMaleMiddle AgedMultilingualismPhysicians

Identifiers

PMID42547784
PMCPMC13434698

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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 OpenQuestion graph.