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Record W2335462037 · doi:10.1097/icb.0b013e318280b034

PURTSCHER-LIKE RETINOPATHY IN ASSOCIATION WITH METASTATIC PANCREATIC ADENOCARCINOMA AND CAPECITABINE THERAPY

2013· article· en· W2335462037 on OpenAlexaff
Rohan J. Shah, Netan Choudhry, Yannek I. Leiderman

Bibliographic record

VenueRetinal Cases & Brief Reports · 2013
Typearticle
Languageen
FieldMedicine
TopicRetinal and Optic Conditions
Canadian institutionsHerzig Eye Institute
Fundersnot available
KeywordsCapecitabineMedicineCotton wool spotsRetinopathyAdenocarcinomaPancreatic cancerInternal medicineChemotherapyOncologyMetastatic adenocarcinomaDiabetic retinopathyCancerDiabetes mellitusColorectal cancerEndocrinology

Abstract

fetched live from OpenAlex

PURPOSE: To report a case of Purtscher-like retinopathy in association with capecitabine chemotherapy for metastatic pancreatic adenocarcinoma. METHODS: Case report. RESULTS: Bilateral retinal hemorrhages and cotton-wool spots in a predominantly juxtapapillary distribution were observed coincident with decreased vision. There was gradual improvement of the retinopathy and patient's vision over several months until the time of death. CONCLUSION: Metastatic pancreatic cancer and capecitabine, a fluoropyrimidine chemotherapeutic agent, are a rare cause of Purtscher-like retinopathy.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
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 head0.014
GPT teacher head0.242
Teacher spread0.228 · 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
Published2013
Admission routes1
Has abstractyes

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