Evidence map›Paper›PMID 41455015›Full record

Observational studyObesity surgery2026

Bariatric Surgery in the Age of Hospital at Home: Home Sweet Home or Hidden Risks? : Results from a Monocentric Retrospective Study on Early Dicharged after Sleeve and Gastric Bypass.

Luigi De Magistris

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study 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

1 author.

Luigi De MagistrisMâcon Hospital Center, Mâcon, France. ludemagistris@ch-macon.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction This study aimed to evaluate the feasibility, safety, and early postoperative outcomes of Hospital at Home (HaH) management in patients undergoing bariatric surgery, compared with conventional hospitalization (CH). Methods In this monocentric, retrospective observational study, 117 patients underwent Sleeve gastrectomy (SG) or Roux-en-Y gastric bypass (RYGB) bypass between April 2023 and May 2025. Among them, 37 patients were discharged to HaH after one postoperative night, while 80 remained under CH. HaH was systematically proposed to all eligible patients without pre-selection, though those who opted for post-discharge rehabilitation were by definition excluded from HaH. Clinical, operative, and early postoperative outcomes were compared between groups. Results Preoperative characteristics, including sex, BMI, and associated medical problems, were comparable; age was significantly lower in the HaH group. No statistically significant differences were observed in early complication rates (HaH: 13,5%; CH: 11,2%, p = 0,76), reoperation rates (HaH: 5,4%; CH: 2.5%, p = 0,59), or readmission rates (HaH: 10.8%; CH: 3.8%, p = 0.28) suggesting similar safety profiles. Patient satisfaction with HaH was high. Close coordination between the surgical team and HaH providers enabled effective home-based postoperative monitoring. Conclusion These findings support HaH as a viable alternative to inpatient care in routine bariatric patients, aligning with enhanced recovery principles and offering a patient-centered approach that may help optimize surgical pathways and resource use.

Indexed as

Bariatric SurgeryGastrectomyGastric BypassObesity, MorbidAdultFemaleHospitalizationHumansMaleMiddle AgedPatient DischargePostoperative ComplicationsRetrospective StudiesTreatment Outcome

Identifiers

What OpenQuestion holds

Textmetadata
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.