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Record W1903213413 · doi:10.1002/dta.359

Detection of doping with rhGH: Excretion study with WADA‐approved kits

2011· article· en· W1903213413 on OpenAlexfundno aff
Jing Jing, Sheng Yang, Xinmiao Zhou, Chun‐Ting He, Lisi Zhang, Youxuan Xu, Minhao Xie, Yi Yan, Hao Su, Moutian Wu

Bibliographic record

VenueDrug Testing and Analysis · 2011
Typearticle
Languageen
FieldMedicine
TopicGrowth Hormone and Insulin-like Growth Factors
Canadian institutionsnot available
FundersWorld Anti-Doping Agency
KeywordsMedicineAdverse effectPlaceboPopulationInternal medicinePediatricsPathology

Abstract

fetched live from OpenAlex

The detection of recombinant human growth hormone (rhGH) doping using the World Anti-Doping Agency (WADA) approved kits is reported in this research. Twenty-five young male students were selected and divided randomly into two groups with six belonging to the placebo and nineteen to the administration group. Thirteen volunteers in one group were administered with a Chinese preparation of rhGH while six volunteers included in the other group were given rhGH made in Switzerland. Both preparations were administered at a dose of 0.1 IU/kg body weight, one injection per day for 14 consecutive days. Blood samples were collected using WADA guidelines and all blood samples were analyzed with WADA-approved Kits 1 and 2. The time window for detection of rhGH doping using WADA-approved kits and criteria are discussed. Based on the comparison of the data obtained from this excretion study and from our routine (Chinese population as reference), consideration of the recent WADA criteria for rhGH AAF (Analytical Adverse Findings) is reported statistically. A comparison of data obtained from the two sample groups administered with pharmaceutical preparations, one Chinese rhGH (GenHeal®, S19990019, 1.6 mg (4 IU), Shanghai, China) obtained from prokaryotic cells and the other (Saizen®, S20080036, 1.33 mg (4 IU), Laboratoires Serone S.A., Switzerland) from eukaryotic cells is reported and did not show any significant difference for the detection of doping with rhGH.

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 score0.012
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.030
GPT teacher head0.229
Teacher spread0.199 · 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

Citations13
Published2011
Admission routes1
Has abstractyes

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