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A preliminary study of serum Procollagen III N-terminal peptide (PIIINP) in Acne scar patients.

2024· article· en· W4391278617 on OpenAlexaff
Omar Abdallah, Amal Abdel Rahman, Shimaa Ahmed, M.H.M. Ahmed

Bibliographic record

VenueMinia Journal of Medical Research · 2024
Typearticle
Languageen
FieldMedicine
TopicAcne and Rosacea Treatments and Effects
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsProcollagen peptidasePeptideTerminal (telecommunication)AcneMedicineInternal medicineChemistryDermatologyBiochemistryComputer science

Abstract

fetched live from OpenAlex

Background: Serum PIIINP is a collagen III precursor, that have been linked to many inflammatory diseases ending in fibrosis such as liver cirrhosis, scleroderma and burn. Aim of the study: Assessment of serum PIIINP in acne scar patients. Patient and methods: Fifteen adult acne scars patients were included in the current study. Serum PIIINP was assessed in each patient using Human procollagen type 3 ELISA Kit from BT LAB ( Bioassay Technology Laboratory), China, and by using of Huma reader 3700, Germany. The results was compared to the normal reference range of serum PIIINP in adults > 18 years. Results Acne scar patients had a significantly higher levels of serum PIIINP, compared to normal reference range of serum PIIINP in adults < 18 years (p = 0.005*). Conclusion Serum PIIINP can correlate with the scarring processes in acne scar patients and can be a useful serum biomarker in assessment of acne scar patients.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.052
GPT teacher head0.435
Teacher spread0.382 · 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 source (direct Gemma or distilled Codex), 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
Published2024
Admission routes1
Has abstractyes

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Same venueMinia Journal of Medical ResearchSame topicAcne and Rosacea Treatments and EffectsFrench-language works237,207