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Record W4313449393 · doi:10.12775/jehs.2023.13.02.030

Ovarian sclerosing stromal tumor - benign neoplasm of the young. A case study with literature review

2023· article· en· W4313449393 on OpenAlexaff
Jakub Grzybowski, Patrycja Piętak, Konrad MERKISZ, Sylwia Nemeczek, Agnieszka Marciniak, Klaudia Walczak, Karolina JASKUŁA, Władysław ORŁOWSKI, Sylwia Zdun, Natalia Grzywna, Patrycja Walczak

Bibliographic record

VenueJournal of Education Health and Sport · 2023
Typearticle
Languageen
FieldMedicine
TopicOvarian cancer diagnosis and treatment
Canadian institutionsLouisiana-Pacific (Canada)
Fundersnot available
KeywordsMedicineImmunophenotypingStromal cellOvaryOvarian tumorPathologyNeoplasmAbdominal painPelvic painOvarian cancerRadiologyInternal medicineCancer

Abstract

fetched live from OpenAlex

Sclerosing stromal tumor (SST), located in the ovary, is a very rare disease entity. To date, only a few hundred cases of ovarian SST have been confirmed worldwide. Preoperative diagnosis of stromal tumor is difficult, as clinically and radiologically it resembles other types of ovarian tumors. These tumors present nonspecific symptoms, with irregular menstrual bleeding, lower abdominal pain and palpable pelvic lesions being the most common. Differentiation and diagnosis is possible only thorough histopathological examination and immunophenotyping. In the present study, we presented a case report of a young, 20-year-old patient with an oligosymptomatic ovarian stromal tumor. We compared and summarized the diagnostic and therapeutic process, as well as the tumor immunophenotypes, with recent cases reported in the literature.

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: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0010.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.340
Teacher spread0.317 · 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 designCase report
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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

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