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Record W2153645021 · doi:10.1155/2010/472162

Ovarian Splenosis: A Case Report

2010· article· en· W2153645021 on OpenAlexaff
Hetal Talati, Jasim Radhi

Bibliographic record

VenueCase Reports in Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicAbdominal Trauma and Injuries
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineAsymptomaticSplenectomyOvarySpleenEndometriosisAutotransplantationPathologyTransplantationSurgeryInternal medicine

Abstract

fetched live from OpenAlex

Splenosis is auto transplantation of splenic tissue following traumatic rupture of the spleen. In females it can mimic endometriosis when symptomatic. Asymptomatic splenosis is common than previously suspected and it can also involve ovary. In a patient with a history of splenectomy, splenosis can act and provide the function of the spleen and thus should not be routinely excised. We report a case of an asymptomatic, incidental ovarian splenosis of left ovary accompanying multiple pelvic and serosal splenotic nodules. To our best knowledge, total three cases of ovarian splenosis have been reported previously including two cases of ovarian splenosis accompanying pelvic and serosal splenotic nodules and one case of solitary ovarian splenosis.

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)0.004
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 score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0030.002
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0050.003
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 head0.027
GPT teacher head0.344
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

Citations10
Published2010
Admission routes1
Has abstractyes

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