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Record W2900938763 · doi:10.14740/wjon1143w

Surgical Treatment of Trichilemmal Carcinoma

2018· article· en· W2900938763 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueWorld Journal of Oncology · 2018
Typearticle
Languageen
FieldMedicine
TopicCancer and Skin Lesions
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMetastasisSurgical marginMultivariate analysisLymphRetrospective cohort studyDistant metastasisSurgeryOncologyCancerInternal medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: To investigate the clinicopathologic characteristics and prognostic factors of trichilemmal carcinoma (TC), and to determine an optimal treatment strategy for these patients. METHODS: This retrospective study enrolled consecutive patients who were admitted to the Sun Yat-sen University Cancer Center between 1998 and 2012. RESULTS: The key prognostic factors influencing the survival were lymph nodes metastasis and surgery margin. Multivariate analysis revealed that there was no risk factor for patient survival. CONCLUSIONS: Surgery margin and lymph nodes metastasis were prognostic factors that influenced the treatment outcome. Simple excision with 1 cm margins is safe, inexpensive and effective for the treatment of TC; and postoperative follow-up of the patient to facilitate early diagnosis of the recurrence and distant metastasis is necessary. Systemic chemotherapy should be considered for the distance metastases patients.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.794
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.042
GPT teacher head0.369
Teacher spread0.327 · 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