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Record W1481033673 · doi:10.1159/000071098

Serum Inhibin B Levels Reflect Contralateral Testicular Damage following Unilateral Testicular Trauma

2003· article· en· W1481033673 on OpenAlexaff
Keramettin Uğur Özkan, Mustafa Küçükaydın, Sabahattin Muhtaroğlu, Olgun Kontaş, Fahri Karaca

Bibliographic record

VenueUrologia Internationalis · 2003
Typearticle
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsPediatric Oncology Group
Fundersnot available
KeywordsMedicineOrchiectomyTesticleTesticular torsionTunica albuginea (penis)UrologyGroup BInternal medicineSurgeryPenis

Abstract

fetched live from OpenAlex

INTRODUCTION: The aim of this study was to evaluate contralateral testicular damage (CTD) following unilateral blunt testicular trauma (BTT) and testicular capsule laceration (TCL) by the serum inhibin B level which is an accepted marker of spermatogenesis. METHODS: Fifty peripubertal male Wistar albino rats were divided into 5 groups each containing 10 rats. Group 1 was the control group. Group 2 was the BTT group in which the right testicle was placed on a firm surface and a metal rod weighing 215 g was dropped onto the testicle from a height of 5.5 cm. Group 3 was the TCL group in which right testicular tunica albuginea was lacerated using the needle of 4/0 silk suture. Group 4 had right orchiectomy initially. Group 5 was the sham group. In all groups, 3-ml blood samples were taken and bilateral orchiectomies were performed 6 weeks after initial manipulations. RESULTS: Groups 2 and 3 had decreased inhibin B levels (p < 0.001), although the orchiectomy group had normal levels. Histological analyses showed lower Johnsen scores for both trauma groups in the ipsilateral and contralateral testes (p < 0.05). CONCLUSIONS: Serum inhibin B levels decrease following unilateral testicular trauma reflecting CTD.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.026
GPT teacher head0.302
Teacher spread0.276 · 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.

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

Citations9
Published2003
Admission routes1
Has abstractyes

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