Evidence map›Paper›PMID 42298136›Full record

Trial reportObesity surgery2026

Preoperative Use of a Mobile Application Within the Multidisciplinary Team Approach - A Randomized Controlled Clinical Trial.

Celine Kadesch, Christel Weiss, Michael Hetjens, Niki Taebi, Sebastian Schölch, Christoph Reissfelder, Susanne Blank, Mirko Otto, Cui Yang

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Obesity surgery, 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

9 authors.

Celine KadeschDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany.
Christel WeissDepartment of Biomedical Informatics, Mannheim Institute for intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Michael HetjensDepartment of Biomedical Informatics, Mannheim Institute for intelligent Systems in Medicine, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany.
Niki TaebiDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany.
Sebastian SchölchDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany.
Christoph ReissfelderDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany.
Susanne BlankDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany.
Mirko OttoDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany.
Cui YangDepartment of Surgery, University Medical Centre Mannheim, Mannheim, Germany. cui.yang@umm.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative multidisciplinary team assessment (MTA) for bariatric surgery is complex and associated with high attrition rates. Digital health applications may improve patient engagement and completion rates, but evidence remains limited.

methodsIn this prospective randomized controlled trial conducted at a tertiary bariatric center, patients aged ≥ 18 years with obesity II with obesity related medical problems or obesity III were randomized 1:1 to receive either standard multidisciplinary care alone (control group) or standard care plus a smartphone application (app group). The app provided digital checklists, appointment reminders, and automated alerts to healthcare providers for missed appointments. The primary outcome was successful completion of MTA, defined as being scheduled for metabolic and bariatric surgery or achieving sufficient weight loss, assessed at 18 months.

resultsAmong 223 enrolled participants, 178 (79.8%) completed follow-up (91 control, 87 app group). 115 participants (64.6%) successfully completed the MTA, with no significant difference between groups (62.6% control vs. 66.7% app group, p = 0.5741). However, post hoc stratification by engagement level revealed significant differences: participants with frequent app use (≥ 34% optimal app usage, n = 72) achieved 76.4% successful MTA completion versus 20.0% in low-engagement users (n = 15) and 62.6% in controls (p = 0.0002). Lower baseline BMI independently predicted successful MTA completion. Quality of life improved across all groups, while weight and body composition remained unchanged during the assessment period.

conclusionA mobile health application can enhance completion rates of preoperative bariatric surgery assessment, but effectiveness is associated with user engagement. Digital health interventions should incorporate strategies to promote sustained engagement, with early identification and support for low-usage patients.

Indexed as

Bariatric SurgeryMobile ApplicationsObesity, MorbidPatient Care TeamPreoperative CareAdultDigital HealthFemaleHumansMaleMiddle AgedProspective StudiesSmartphoneWeight LossBariatric surgeryeHealthMobile health applicationObesityPerioperative management

Identifiers

PMID42298136
PMCPMC13429525

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.