MétaCan
Menu
Back to cohort
Record W1989454353 · doi:10.1097/sap.0b013e318299cd4e

Propranolol Versus Corticosteroids

2013· review· en· W1989454353 on OpenAlexaff
Carla I.J.M. Theunissen, J.H. Sillevis Smitt, Chantal M.A.M. van der Horst

Bibliographic record

VenueAnnals of Plastic Surgery · 2013
Typereview
Languageen
FieldMedicine
TopicVascular Malformations and Hemangiomas
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsPropranololMedicineCorticosteroidInvolution (esoterism)Retrospective cohort studyInfantile hemangiomaCohortRandomized controlled trialSurgeryInternal medicineAnesthesia

Abstract

fetched live from OpenAlex

BACKGROUND: Infantile hemangiomas (IHs) are common and benign vascular tumors and usually involute spontaneously. Nevertheless, in some cases, treatment with systemic corticosteroids or propranolol is required. No randomized controlled studies, in which both treatment options were compared, have been performed. METHODS: A systematic literature review and a retrospective cohort study in the Academic Medical Centre of 56 patients (mean age, 5.5 months; range, 0-40 months; SD, 7.6) with IHs were carried out. These patients were treated with either systemic corticosteroids or propranolol. The outcomes of both treatment options were evaluated and compared. RESULTS: The literature review showed that propranolol resulted in an involution in 100% of the patients, whereas corticosteroids only reached involution in 89%. The mean first response of the IH to propranolol was 3.2 days and of corticosteroids was 8.5 days. In our study sample, the patients treated with propranolol showed a faster and better response than the patients treated with corticosteroids. This is in line with literature findings. CONCLUSIONS: Systemic propranolol treatment is more effective for IHs than systemic corticosteroid treatment. Secondly, propranolol elicits a faster response than corticosteroids.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.954
Threshold uncertainty score0.939

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.307
GPT teacher head0.401
Teacher spread0.094 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2013
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Plastic SurgerySame topicVascular Malformations and HemangiomasFrench-language works237,207