Evidence map›Paper›PMID 34969297›Full record

ArticleHand (New York, N.Y.)2023

Using Sentiment Analysis to Understand What Patients Are Saying About Hand Surgeons Online.

Justin E Tang, Varun Arvind, Christopher A White, Calista Dominy, Jun S Kim, Samuel K Cho, Amanda Walsh

Abstract read
In one paragraph

Article in Hand (New York, N.Y.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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.

Justin E TangIcahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0003-4544-3262
Varun ArvindIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Christopher A WhiteIcahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-8582-6105
Calista DominyIcahn School of Medicine at Mount Sinai, New York, NY, USA.ORCID 0000-0002-6572-585X
Jun S KimIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Samuel K ChoIcahn School of Medicine at Mount Sinai, New York, NY, USA.
Amanda WalshIcahn School of Medicine at Mount Sinai, New York, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhysician review websites have influence on a patient's selection of a provider. Written reviews are subjective and difficult to quantitatively analyze. Sentiment analysis of writing can quantitatively assess surgeon reviews to provide actionable feedback for surgeons to improve practice. The objective of this study is to quantitatively analyze large subset of written reviews of hand surgeons using sentiment analysis and report unbiased trends in words used to describe the reviewed surgeons and biases associated with surgeon demographic factors.

methodsOnline written and star-rating reviews of hand surgeons were obtained from healthgrades.com and webmd.com. A sentiment analysis package was used to calculate compound scores of all reviews. Mann-Whitney

resultsA total of 786 hand surgeons' reviews were analyzed. Analysis showed a significant relationship between the sentiment scores and overall average star-rated reviews (

conclusionsThis study provides insight into both demographic and behavioral factors contributing to positive reviews and reinforces the importance of pain expectation management.

Indexed as

Clinical CompetenceSurgeonsHumansPatient SatisfactionSentiment Analysisanatomydiagnosishandhand therapyoutcomespainpain managementresearch and health outcomesspecialtysurgery

Identifiers

PMID34969297
PMCPMC10336809

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.