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Record W2804787305 · doi:10.1159/000489408

Clinical Stage IIA-IIC Seminoma: Radiation Therapy versus Systemic Chemotherapy versus Retroperitoneal Lymph Node Dissection

2018· review· en· W2804787305 on OpenAlexaff
Gunhild von Amsberg, Robert J. Hamilton, Alexandros Papachristofilou

Bibliographic record

VenueOncology Research and Treatment · 2018
Typereview
Languageen
FieldMedicine
TopicTesticular diseases and treatments
Canadian institutionsPrincess Margaret Cancer CentreUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsMedicineSeminomaLymph nodeRadiation therapyChemotherapyStage (stratigraphy)LymphEtoposideRetroperitoneal lymph node dissectionBleomycinDissection (medical)LymphadenectomyRadiologySurgeryUrologyInternal medicineTesticular cancerPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Clinical stage II (CSII) seminoma is defined by the presence of pure seminoma accompanied by retroperitoneal lymph node metastases. In patients with bulky disease (lymph nodes > 5 cm in diameter), platinum-based chemotherapy is the widely accepted standard of care. However, the optimal choice of treatment for CSIIA and IIB is more controversial. METHODS: We performed a PubMed search using the key words stage II seminoma, BEP (cisplatin, etoposide, and bleomycin), hockey-stick radiotherapy, dog-leg radiotherapy and retroperitoneal lymph node dissection. Most relevant publications were summarized for this review. RESULTS: To date, no randomized trials have prospectively compared radiotherapy (RT), chemotherapy (CT) and retroperitoneal lymph node dissection (RLND) for CSII seminoma. Because of the predominantly retrospective analyses and only few prospective trials data interpretation is complex. In CSIIA with lymph nodes of < 2 cm, RT and CT seem to be equally effective, while in CSIIB, a decreased number of relapses were observed in CT-treated patients. In addition, RT seems to be associated with a higher incidence of long-term sequelae when compared with CT. CONCLUSION: Prospective clinical trials are needed to systematically compare the different treatment modalities. De-escalation of treatment intensity without loss of efficacy is required to improve long-term outcome for this young patient population.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.277
GPT teacher head0.534
Teacher spread0.256 · 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 designOther design
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

Citations10
Published2018
Admission routes1
Has abstractyes

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