Evidence map›Paper›PMID 35441237›Full record

ArticleAesthetic plastic surgery2022

Breast Implant-Associated Anaplastic Large Cell Lymphoma: A Google Trends Analysis.

Aishu Ramamurthi, Harsh Patel, Dhivya R Srinivasa

Abstract read
PubMed Publisher
In one paragraph

Article in Aesthetic plastic surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Journal of surgical case reports · 2023
    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

3 authors.

Aishu RamamurthiMedical College of Wisconsin, 8701 W Watertown Plank Rd, Wauwatosa, WI, 53226, USA. airamamurthi@mcw.edu.ORCID 0000-0001-9881-7737
Harsh PatelDivision of Plastic and Reconstructive Surgery, Cedars Sinai, Los Angeles, CA, USA.
Dhivya R SrinivasaDivision of Plastic and Reconstructive Surgery, Cedars Sinai, Los Angeles, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe internet has revolutionized health information delivery. With instantaneous and widespread access to electronic sources, patients have countless options with regard to where and how they acquire medical information. Although this enables patients to feel informed, uncontextualized misinformation can derail patients as much as accurate information can empower them. To better understand the sources of information available, a Google Trends analysis was performed.

methodsSearch volume data were collected for the terms "ALCL," "textured implants," "Anaplastic Large Cell Lymphoma," "breast implant illness," and "breast implant cancer." Data were collected for 1- and 5-year search periods ending on May 1, 2020. Peaks were correlated to relevant news articles or FDA statements.

resultsResults uncovered that news platforms like the New York Times (NYT) and The Guardian had greater public visibility when compared to official announcements through the FDA or pharmaceutical companies. During these peaks in public interest, search results on Google were dominated by information from media sources, highlighting a weakness in the general public's access to credible online health information.

conclusionsOnline search volume and regional data obtained from Google Trends can serve to strategize timely and targeted dissemination of important medical announcements to the public. Evidence from this study reveals pitfalls of the current model for dissemination of information and provides valuable, actionable methods for improved patient outreach for future communications. LEVEL OF EVIDENCE V: 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, AnaplasticFemaleHumansSearch EngineBIA-ALCLBreast implant cancerBreast implant illnessGoogle TrendsImplant recallOnline health

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.