Evidence map›Paper›PMID 42477216›Full record

ArticleSurgical endoscopy2026

Pre-operative concerns and post-operative satisfaction: comparing attitudes toward bariatric surgery and medication intervention for weight loss on Reddit.

Gabriel A Del Carmen, Dhara Patel, Natalie Vu, Alexander Tran, Jessica A Zaman

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 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
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Gabriel A Del Carmen *Albany Medical College, Albany, NY, USA. delcarg@amc.edu.ORCID http://orcid.org/0000-0002-1857-8404
Dhara Patel *Albany Medical College, Albany, NY, USA.
Natalie Vu *Albany Medical College, Albany, NY, USA.
Alexander Tran *Albany Medical College, Albany, NY, USA.
Jessica A ZamanDepartment of General Surgery, Albany Medical Center, 43 New Scotland Ave, Albany, NY, 12208, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatient perceptions influence the success of bariatric surgery and pharmacologic weight loss therapies, yet many concerns never reach providers during clinic visits. Reddit, a popular online community, offers a window to explore these concerns outside clinical settings. We leveraged natural language processing (NLP) to compare user-submitted content across communities in surgical and non-surgical weight loss communities on Reddit.

methodsWe extracted the top 500 posts and all comments from three Reddit communities: /r/GastricBypass (/r/GB), /r/GastricSleeve (/r/GS), and /r/Ozempic. NLP libraries were used to quantify sentiment and subjectivity. Latent Dirichlet Allocation (LDA) was used to perform topic modeling and identify themes. Significance was obtained with Kruskal-Wallis and chi-square (χ2) tests. A machine learning classifier categorized posts as pre- or post-intervention.

results1500 posts and 45,972 comments were analyzed. Sentiment was largely neutral/positive (0.26 ± 0.35) and moderately subjective (0.48 ± 0.33). Comment sentiment was most positive in /r/GS and least in /r/GB (0.30 ± 0.33 vs 0.20 ± 0.31, respectively, P < 0.001). Post sentiment did not vary (P = 0.246). Five main themes emerged: eating behaviors/diet, weight loss progress, medication/medical issues, adverse effects, and support. Pain was the biggest adverse effect among surgical subreddits (24.3% within /r/GB and 16.8% /r/GS) compared to gastrointestinal (20.8%) and psychological (7.7%) symptoms in /r/Ozempic (P < 0.001). Most content was post-intervention (85.0%), and pre-intervention posts showed higher levels of anxiety and depression (4.0% vs 0.9%, P = 0.049).

conclusionsOur findings reveal distinct patient concerns across weight loss intervention. NLP surveillance of online communities can help clinicians identify latent concerns, tailor counseling, and manage expectations.

Indexed as

Bariatric SurgeryPatient SatisfactionSocial MediaWeight LossAnti-Obesity AgentsHumansNatural Language ProcessingAnti-Obesity AgentsBariatric surgeryMachine learningNatural language processingRedditSemaglutideSentiment analysis

Identifiers

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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 OpenQuestion graph.