Evidence map›Paper›PMID 37903939›Full record

ArticleAesthetic plastic surgery2024

Consulting the Digital Doctor: Google Versus ChatGPT as Sources of Information on Breast Implant-Associated Anaplastic Large Cell Lymphoma and Breast Implant Illness.

Hilary Y Liu, Mario Alessandri Bonetti, Francesca De Lorenzi, Michael L Gimbel, Vu T Nguyen, Francesco M Egro

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Article in Aesthetic plastic surgery, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  2. Patient and physician perspectives on large language model generated responses about brain aneurysm.Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Hilary Y Liu *Department of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, G103, Pittsburgh, PA, 15219, USA.
Mario Alessandri Bonetti *Department of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, G103, Pittsburgh, PA, 15219, USA.
Francesca De LorenziDepartment of Plastic Surgery, IRCCS European Institute of Oncology, Via Giuseppe Ripamonti 345, 20122, Milan, Italy.
Michael L GimbelDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, G103, Pittsburgh, PA, 15219, USA.
Vu T NguyenDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, G103, Pittsburgh, PA, 15219, USA.
Francesco M EgroDepartment of Plastic Surgery, University of Pittsburgh Medical Center, 1350 Locust Street, G103, Pittsburgh, PA, 15219, USA. francescoegro@gmail.com.ORCID 0000-0003-1536-7713

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBreast implant-associated anaplastic large cell lymphoma (BIA-ALCL) is a rare complication associated with the use of breast implants. Breast implant illness (BII) is another potentially concerning issue related to breast implants. This study aims to assess the quality of ChatGPT as a potential source of patient education by comparing the answers to frequently asked questions on BIA-ALCL and BII provided by ChatGPT and Google.

methodsThe Google and ChatGPT answers to the 10 most frequently asked questions on the search terms "breast implant associated anaplastic large cell lymphoma" and "breast implant illness" were recorded. Five blinded breast plastic surgeons were then asked to grade the quality of the answers according to the Global Quality Score (GQS). A Wilcoxon paired t-test was performed to evaluate the difference in GQS ratings for Google and ChatGPT answers. The sources provided by Google and ChatGPT were also categorized and assessed.

resultsIn a comparison of answers provided by Google and ChatGPT on BIA-ALCL and BII, ChatGPT significantly outperformed Google. For BIA-ALCL, Google's average score was 2.72 ± 1.44, whereas ChatGPT scored an average of 4.18 ± 1.04 (p < 0.01). For BII, Google's average score was 2.66 ± 1.24, while ChatGPT scored an average of 4.28 ± 0.97 (p < 0.01). The superiority of ChatGPT's responses was attributed to their comprehensive nature and recognition of existing knowledge gaps. However, some of ChatGPT's answers had inaccessible sources.

conclusionChatGPT outperforms Google in providing high-quality answers to commonly asked questions on BIA-ALCL and BII, highlighting the potential of AI technologies in patient education. LEVEL OF EVIDENCE: Level III, comparative study LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Breast ImplantationBreast ImplantsBreast NeoplasmsLymphoma, Large-Cell, AnaplasticSurgeonsFemaleHumansInformation SourcesSearch EngineArtificial intelligenceBreastBreast implant associated anaplastic large cell lymphomaChatGPTGoogleImplantImplant illnessPatient education

Identifiers

PMID37903939

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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.