Evidence map›Paper›PMID 40327037›Full record

Trial reportJMIR cancer2025

Comparison of Electronic Surveillance With Routine Monitoring for Patients With Lymphoma at High Risk of Relapse: Prospective Randomized Controlled Phase 3 Trial (Sentinel Lymphoma).

Katell Le Dû, Adrien Chauchet, Sophie Sadot-Lebouvier, Olivier Fitoussi, Bijou Fontanet, Arnaud Saint-Lezer, Frédéric Maloisel, Cédric Rossi, Sylvain Carras, Anne Parcelier and 2 more

Abstract readRandomized Controlled TrialClinical Trial, Phase IIIComparative Study
In one paragraph

Trial report in JMIR cancer, 2025. 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. Dynamic changes in serum IL-6, TNF-Frontiers in medicine · 2026
    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

12 authors.

Katell Le Dû *Department of Hematology, Confluent Private Hospital, 2 rue Eric Tabarly, Nantes, 44277, France, 33 0615246067.ORCID 0000-0003-4371-2668
Adrien Chauchet *Department of Hematology, University Hospital, Besançon, France.ORCID 0000-0003-3665-6805
Sophie Sadot-Lebouvier *Department of Hematology, Confluent Private Hospital, 2 rue Eric Tabarly, Nantes, 44277, France, 33 0615246067.ORCID 0009-0003-4255-4116
Olivier Fitoussi *Department of Hematology, Polyclinique Bordeaux Nord Aquitaine, Bordeaux, France.ORCID 0009-0009-6401-6603
Bijou Fontanet *Department of Hematology, Bergonié Institute, Bordeaux, France.ORCID 0000-0001-6768-7175
Arnaud Saint-Lezer *Department of Hematology, Mont de Marsan Hospital, Mont de Marsan, France.ORCID 0009-0003-3297-618X
Frédéric Maloisel *Department of Hematology, Clinique Saint-Anne, Strasbourg, France.ORCID 0000-0002-6466-2746
Cédric Rossi *Department of Hematology, University Hospital, Dijon, France.ORCID 0000-0003-3717-7961
Sylvain Carras *Department of Hematology, University Hospital, Grenoble, France.ORCID 0000-0002-0796-7914
Anne Parcelier *Department of Hematology, Centre hospitalier Bretagne Atlantique, Vannes, France.ORCID 0009-0000-2740-0838
Magali Balavoine *Department of Biostatistics, Institut inter-régional de cancérologie, Le Mans, France.ORCID 0000-0002-9692-2004
Anne-Lise Septans *Department of Biostatistics, Institut inter-régional de cancérologie, Le Mans, France.ORCID 0000-0002-4561-4749

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Relapse is a major event in patients with lymphoma. Therefore, early detection may have an impact on quality of life and overall survival. Patient-reported outcome measures have demonstrated clinical benefits for patients with lung cancer; however, evidence is lacking in patients with lymphoma. We evaluated the effect of a web-mediated follow-up application for patients with lymphoma at high risk of relapse. Objective: This study aims to demonstrate that monitoring patients via a web application enables the detection of at least 30% more significant events occurring between 2 systematic follow-up consultations with the specialist using an electronic questionnaire. Methods: We conducted a prospective, randomized phase 3 trial comparing the impact of web-based follow-up (experimental arm) with a standard follow-up (control arm). The trial was based on a 2-step triangular test and was designed to have a power of 90% to detect a 30% improvement in the detection of significant events. A significant event was defined as a relapse, progression, or a serious adverse event. The study covered the follow-up period after completion of first-line treatment or relapse (24 months). Eligible patients were aged 18 years and older and had lymphoma at a high risk of relapse. In the experimental arm, patients received a 16-symptom questionnaire by email every 2 weeks. An email alert was sent to the medical team based on a predefined algorithm. The primary objective was assessed after the inclusion of the 40th patient. The study was continued for the duration of the analysis. Results: A total of 52 patients were included between July 12, 2017, and April 7, 2020, at 11 centers in France, with 27 in the experimental arm and 25 in the control arm. The median follow-up was 21.3 (range 1.3-25.6) months, and 121 events were reported during the study period. Most events occurred in the experimental arm (83/119, 69.7%) compared with 30.2% (36/119) in the control arm. A median number of 3.5 (range 1-8) events per patient occurred in the experimental arm, and 1.8 (range 1-6) occurred in the control arm (P=.01). Progression and infection were the most frequently reported events. Further, 19 patients relapsed during follow-up: 6 in the experimental arm and 13 in the control arm (P<.001), with a median follow-up of 7.7 (range 2.8-20.6) months and 6.7 (range 1.9-16.4) months (P=.94), respectively. Statistical analysis was conducted after including the 40th patient, which showed no superiority of the experimental arm over the control arm. The study was therefore stopped after the 52nd patient was enrolled. Conclusions: The primary objective was not reached; however, patient-reported outcome measures remain essential for detecting adverse events in patients with cancer, and the electronic monitoring method needs to demonstrate its effectiveness and comply with international safety guidelines.

Indexed as

LymphomaNeoplasm Recurrence, LocalAdultAgedFemaleFollow-Up StudiesHumansInternetMaleMiddle AgedPatient Reported Outcome MeasuresProspective StudiesQuality of LifeSurveys and QuestionnairesdetectionHodgkin lymphomalymphomapatient-reported outcome measuresprogressionquality of liferandomized trialrelapserisk of relapsesurvivalT-cell lymphomaweb-based

Identifiers

PMID40327037
PMCPMC12070818

What OpenQuestion 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 OpenQuestion graph.