Evidence map›Paper›PMID 37630838›Full record

ArticleNutrients2023

Prediction of Early and Long-Term Hospital Readmission in Patients with Severe Obesity: A Retrospective Cohort Study.

Fabio Bioletto, Andrea Evangelista, Giovannino Ciccone, Amelia Brunani, Valentina Ponzo, Enrica Migliore, Eva Pagano, Isabella Comazzi, Fabio Dario Merlo, Farnaz Rahimi and 2 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nutrients, 2023. 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
0.4field-weighted citation impact, top 33% of its field
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, 2 citations in OpenAlex.

  1. 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 at 3 institutions in 1 country.

Fabio BiolettoDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-7550-7023
Andrea EvangelistaUnit of Clinical Epidemiology, CPO, Città della Salute e della Scienza Hospital, 10126 Turin, Italy.
Giovannino CicconeUnit of Clinical Epidemiology, CPO, Città della Salute e della Scienza Hospital, 10126 Turin, Italy.
Amelia BrunaniRehabilitation Medicine Unit, IRCCS Istituto Auxologico Italiano Piancavallo, 28824 Oggebbio, Italy.ORCID 0000-0003-3059-544X
Valentina PonzoDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.
Enrica MiglioreUnit of Clinical Epidemiology, CPO, Città della Salute e della Scienza Hospital, 10126 Turin, Italy.
Eva PaganoUnit of Clinical Epidemiology, CPO, Città della Salute e della Scienza Hospital, 10126 Turin, Italy.
Isabella ComazziDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.
Fabio Dario MerloDietetic Unit, Città della Salute e della Scienza Hospital, 10126 Turin, Italy.
Farnaz RahimiDietetic Unit, Città della Salute e della Scienza Hospital, 10126 Turin, Italy.
Ezio GhigoDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0002-2809-8105
Simona BoDepartment of Medical Sciences, University of Turin, 10126 Turin, Italy.ORCID 0000-0001-6862-8628
Azienda Ospedaliera Citta' della Salute e della Scienza di Torino · ITUniversity of Turin · ITIRCCS Istituto Auxologico Italiano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adults with obesity have a higher risk of hospitalization and high hospitalization-related healthcare costs. However, a predictive model for the risk of readmission in patients with severe obesity is lacking. We conducted a retrospective cohort study enrolling all patients admitted for severe obesity (BMI ≥ 40 kg/m

Indexed as

Obesity, MorbidAdultHospitalizationHumansObesityPatient ReadmissionRetrospective Studieshospitalizationhospital readmissionobesitypredictive model

Identifiers

PMID37630838
PMCPMC10458036
OpenAlexW4386030655

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.