Evidence map›Paper›PMID 38286896›Full record

ArticleAesthetic plastic surgery2024

Rhinoplasty Preferences: Can the Public Detect Prior Surgery on Social Media?

Lauren Valentine, Allan A Weidman, Stephen A Stearns, Daniella Dennis, Angelica Hernandez Alvarez, Jose Foppiani, Samuel J Lin

Abstract read
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In one paragraph

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.7field-weighted citation impact, top 18% 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, 3 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

7 authors at 3 institutions in 1 country.

Lauren Valentine *Division of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Allan A Weidman *Division of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Stephen A StearnsDivision of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Daniella DennisUniversity of Connecticut School of Medicine, Farmington, CT, USA.
Angelica Hernandez AlvarezDivision of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Jose FoppianiDivision of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA.
Samuel J LinDivision of Plastic Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, 110 Francis Street Suite 5A, Boston, MA, 02215, USA. sjlin@bidmc.harvard.edu.
Beth Israel Deaconess Medical Center · USHarvard University · USUniversity of Connecticut · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe creation of postoperative rhinoplasty results that appear natural and proportional to the face are crucial for patient satisfaction. The purpose of this study was to assess the public's ability to detect a post-rhinoplasty result and preference of preoperative and postoperative rhinoplasty outcomes.

methodsA survey was distributed using the Amazon Mechanical Turk online platform showing nine preoperative and postoperative rhinoplasty patients. Participants rated aesthetic appearance, identified areas of abnormality, and stated whether they believed the patient had undergone prior rhinoplasty.

resultsA total of 456 responses were included. On a scale of 1-5 with 5 being the most aesthetically pleasing, the highest rated nose was a postoperative patient without visible deformities (3.95, SD 1.07) followed by the postoperative patient with a resultant bulbous tip (3.48, SD 0.96). The lowest ranking noses were the prior rhinoplasty with resultant saddle nose deformity (3.02, SD 1.19) and the prior rhinoplasty with nasal trapezoid deformity (2.95, SD 1.04). The public was able to correctly determine if patients had prior rhinoplasty surgery only if there were resultant defects. When respondents believed that the patient had undergone prior rhinoplasty, their average rating was lower than those who believed they had not undergone surgery (3.74/5 vs. 4.15/5, p < 0.0001).

conclusionsThe belief that someone had previously undergone rhinoplasty led the public to rate the aesthetic appearance of the nose lower. To provide optimal results following rhinoplasty, surgeons may therefore seek to provide a natural, "un-operated" look. LEVEL OF EVIDENCE IV: 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 . Differences for nasal aesthetic preferences exist and vary based on geographic region The public is unable to discern if a patient previously underwent rhinoplasty if the result does not show a postoperative defect, such as a dorsal hump, over-rotated tip, or mid-vault collapse Oppositely, the public can generally tell if patients have undergone rhinoplasty surgery if a postoperative deformity is present The belief that someone had rhinoplasty surgery negatively impacts the attractiveness ranking of the nose, even without any postoperative defects present.

Indexed as

EstheticsRhinoplastySocial MediaAdultFemaleHumansMaleMiddle AgedPatient PreferencePatient SatisfactionPublic OpinionSurveys and QuestionnairesYoung AdultNasal aesthetic preferencesPublic detectionRhinoplasty

Identifiers

PMID38286896
OpenAlexW4391324390

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.