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Record W4411956731 · doi:10.47391/jpma.20767

Comparison of intralesional triamcinolone acetonide alone and with 5 -fluorouracil for the treatment of keloids

2025· article· en· W4411956731 on OpenAlexaboutno aff
Sadia Bhatti, Sadaf Ahmed Asim, Madiha Sajid, Tayyaba Iqbal, Fozia Shaikh, Hira Fatima Waseem

Bibliographic record

VenueJournal of the Pakistan Medical Association · 2025
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsnot available
Fundersnot available
KeywordsTriamcinolone acetonideFluorouracilKeloidMedicineDermatologySurgeryChemotherapy

Abstract

fetched live from OpenAlex

Objectives: To compare the efficacy of intralesional triamcinolone acetonide alone and in combination with 5 -fluorouracil in the management of keloids. METHODS: The prospective cross-sectional study was conducted at the Dermatology outpatient department, Ojha campus, Dow University of Health Sciences, Karachi, from April to September 2023, and comprised patients with keloids who were divided into group A receiving intralesional triamcinolone acetonide 40mg/ml alone, and group B receiving a combination of triamcinolone acetonide 40mg/ml and 5-fluorouracil 50mg/ml. The medication was given monthly for 6 months, and efficacy was assessed using the Vancouver Scar Scale on each visit before the injection. Data was analysed with SPSS version 26. RESULTS: Of the 66 patients, 33(50%) were in group A; 19(57.6%) females and 14(42.4%) males with mean age 34.39±9.81 years. There were 33(50%) patients in group B; 20(60.6%) females and 13(39.4%) males with mean age 33.75±11.51 years. In group B, good to excellent response was seen in 31 (95%) cases compared to 23 (70%) in group A. Side effects such as atrophy (3 cases, 9.1%) and telangiectasia (2 cases, 6.1%) were more prevalent in Group A compared to atrophy (1 case, 3%) and telangiectasia (1 case, 3%) in Group B. Conclusion: Intralesional triamcinolone acetonide in combination with 5-fluorouracil was found to be more effective with faster response and less side-effects compared to triamcinolone acetonide alone.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.077
Threshold uncertainty score0.110

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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 head0.027
GPT teacher head0.400
Teacher spread0.373 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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