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Record W4384277369 · doi:10.1159/000530609

Patient-Reported Outcomes of Medical Tattooing for Capillary Malformations

2023· article· en· W4384277369 on OpenAlexaff
Ginger Beau Langbroek, J. Felsbourg, Albert Wolkerstorfer, Sophie E.R. Horbach, Loes Souisa Kooger, Susan van Dieren, Olivier J. van Not, Hans P van Not, R. Souisa, Dirk T. Ubbink, Chantal M.A.M. van der Horst

Bibliographic record

VenueDermatology · 2023
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsMedicinePatient satisfactionQuality of life (healthcare)Logistic regressionCross-sectional studyYoung adultLaser therapySurgeryInternal medicinePhysical therapyPediatricsPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Patients with capillary malformations (CMs) may undergo medical tattooing (MT) as an alternative to laser therapy. But little is known about treatment results and impact from the patients' perspective. OBJECTIVES: In this cross-sectional digital survey study, we evaluated the patient-reported outcomes of MT for CMs. METHODS: MT practices were identified via the Dutch Association of Skin Therapists and Google. These practices invited all their CM patients who had undergone MT between January 2011 and September 2021 to participate. Baseline and treatment characteristics, tattooing effectiveness, patient satisfaction with treatment outcomes, and complications were evaluated using a custom-made online survey. Quality of life was assessed with the Dermatology Life Quality Index (DLQI) questionnaire. Factors associated with treatment effectiveness and patient satisfaction were identified via bivariate analysis and ordinal logistic regression analysis. RESULTS: Most of the 89 respondents were female (69%). Almost all CMs were located on the face (90%) and mainly (dark) red (74%). Nearly all patients had undergone laser therapy (91%). Median number of tattooing sessions was 5 (IQR: 4.0-8.0). Thirty-seven percent of the patients perceived >75% color reduction. Younger patients were more likely to obtain lower treatment effectiveness (OR 0.44, 95% CI: 0.20-0.97). Most patients (83%) were satisfied with treatment results. Patients with lighter (OR 0.30, 95% CI: 0.13-0.72), non-facial (OR 0.15, 95% CI: 0.03-0.89), and hypertrophic CMs (OR 0.30, 95% CI: 0.11-0.82) were less likely to be satisfied with treatment outcomes. Patients with lighter skin types were more satisfied (OR 2.89, 95% CI: 1.23-6.80). Complications included transient pain (23%), bleeding (3.4%), hypertrophic scarring (1.1%), hypopigmentation (1.1%), and a halo around the tattoo (1.1%). CONCLUSION: MT seems a valid alternative treatment in addition to laser therapy for CMs, with mild complications. Most patients are (very) satisfied with treatment results, while color reduction is incomplete. Hence, it seems appropriate to decide together with patients whether or not to use MT as primary treatment or secondary to laser therapy.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.265

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.381
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2023
Admission routes1
Has abstractyes

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