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Record W2325849584 · doi:10.1515/jpem.2000.13.7.899

Efficacy of Recombinant Human Growth Hormone in Children with Juvenile Rheumatoid Arthritis and Growth Failure

2000· article· en· W2325849584 on OpenAlexfundno aff
Sultan Bahabri, Sulaiman M. Al‐Mayouf, A. Al‐Ashwal

Bibliographic record

VenueJournal of Pediatric Endocrinology and Metabolism · 2000
Typearticle
Languageen
FieldMedicine
TopicHip disorders and treatments
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsMedicineHuman growth hormoneRecombinant DNARheumatoid arthritisGrowth hormoneJuvenile rheumatoid arthritisJuvenileArthritisInternal medicineEndocrinologyHormoneBiochemistryGene

Abstract

fetched live from OpenAlex

Ten patients with juvenile rheumatoid arthritis (JRA) and growth failure were treated with recombinant human growth hormone (GH) for 1 to 3 years at a dosage of 0.57 IU/kg/wk. All the patients had been on prednisone at a mean dosage of 4.12 mg p.o. daily. GH was low in one patient, two patients had a borderline level and seven patients had adequate response to provocative tests or post-sleep measurement. Serum IGF-I was found to be low in five of six patients. Mean growth velocity increased from 2.45 cm/yr to 4.79 cm/yr after 1 year's treatment with GH (P<0.004). Six patients continued on GH treatment for a second year and continued to have a better growth velocity, with a mean of 5.43 cm/yr (P<0.014). Two patients entered puberty during the second year of GH treatment. This study demonstrates the potential beneficial effect of GH treatment in patients with JRA with growth failure of systemic onset or polyarticular onset who are on prednisone. Further study is needed to determine the long-term effect of GH treatment on ultimate height.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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

Citations13
Published2000
Admission routes1
Has abstractyes

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