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Sarcoma sinovial renal en edad temprana

2010· article· es· W2012075871 on OpenAlexaff
Alfredo Romero-Rojas, Julio A. Díaz-Pérez, Oscar Alberto Messa-Botero, Fabián Enrique Neira-Mejia

Bibliographic record

VenueArchivos Españoles de Urología · 2010
Typearticle
Languagees
FieldMedicine
TopicSarcoma Diagnosis and Treatment
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMedicineNephrectomyPathologicalKidneyImmunohistochemistryPathologyBiopsyAbdominal massNeoplasmSarcomaSynovial sarcomaRenal massInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: We report a primary renal Synovial Sarcoma (SS) case and analyze its features. METHOD: A 15 year old male presented with left abdominal mass and weight loss. CT scan images showed a 13 cm mass located in the lower pole of the left kidney. Renal biopsy recognized an undifferentiated neoplasm, the immunohistochemistry suggesting the probability of neuroectodermic primitive tumor versus SS. Chemotherapy and radical nephrectomy were carried out. Pathological study showed a big multilobulated necrotic tumor 22 x 13 x 12.5 cm. Histopathological study demonstrated a neoplasm composed by immature cells. Currently, patient has survived 1,8 years. A structured bibliographical search was performed in the Medline, Imbiomed and Scielo databases. RESULTS: The final immunohistochemistry studies gave the diagnosis of poorly differentiated renal SS small cell variety. CONCLUSION: The renal SS is extremely infrequent, with less than 40 cases reported, of which this case reports the earlier age. These tumors, when located in the kidney, represent a great diagnostic challenge that requires adequate clinical, radiological, surgical, and pathological correlation for appropriate diagnosis and treatment.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.009
GPT teacher head0.265
Teacher spread0.257 · 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 designNot applicable
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

Citations8
Published2010
Admission routes1
Has abstractyes

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