Evidence map›Paper›PMID 34877015›Full record

ArticleObesity science & practice2021

Rural/urban weight-loss outcomes following bariatric surgery.

Viviana Bauman, Andreana N Apostolopoulos, Gwendolyn Hasse, Thomas J Parkman, Kathryn M Ross

Open access · goldAbstract read
In one paragraph

Article in Obesity science & practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Pre-surgical factors related to latent trajectories of 5-year weight loss for a diverse bariatric surgery population.Surgery for obesity and related diseases : official journal of the American Society for Bariatric Surgery · 2024
    Article
  3. Article
  4. Article
  5. 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

5 authors at 2 institutions in 1 country.

Viviana BaumanDepartment of Clinical and Health Psychology University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0003-2397-3756
Andreana N ApostolopoulosCollege of Public Health and Health Professions University of Florida Gainesville Florida USA.
Gwendolyn HasseShands Hospital University of Florida Gainesville Florida USA.
Thomas J ParkmanDepartment of Clinical and Health Psychology University of Florida Gainesville Florida USA.
Kathryn M RossDepartment of Clinical and Health Psychology University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0002-3628-766X
University of Florida Health · USUF Health Shands Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity disproportionately affects rural populations; however, there is limited research examining disparities in bariatric surgery outcomes between patients from rural versus urban areas. This study aimed to compare the demographic characteristics of patients undergoing bariatric surgery from rural versus urban bariatric areas and to explore differences in weight-loss outcomes between these groups. A retrospective chart review identified a sample of 170 patients (52 rural, 118 urban) who underwent Roux-en-Y gastric bypass or vertical sleeve gastrectomy procedures over a 1-year period. Data collected included age, race, gender, insurance status, surgery type, height, and pre- and postoperative weights at 3 and 6 months. Significant differences in race, ethnicity, and surgery type were observed between rural/urban patients (

Indexed as

bariatric surgeryhealth disparitiesobesityrural/urban

Identifiers

PMID34877015
PMCPMC8633927
OpenAlexW3159276840

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.