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Record W2206972373 · doi:10.3928/1542-8877-20050301-04

Thrombocytopenia and the Risks of Intraocular Surgery

2005· article· en· W2206972373 on OpenAlexaff
Demosthenes G. Papamatheakis, Pierre Demers, André Vachon, Louise Brossard Jaimes, Yves Lapointe, Paul Harasymowycz

Bibliographic record

VenueOphthalmic surgery, lasers & imaging retina · 2005
Typearticle
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineBleeding diathesisPerioperativeSurgeryConcomitantIncidence (geometry)Retrospective cohort studyHematologistBlepharitisHyphemaPlateletInternal medicineVisual acuityDermatology

Abstract

fetched live from OpenAlex

BACKGROUND AND OBJECTIVE: In thrombocytopenia, a hemorrhagic diathesis is usually present due to a low platelet count and has been related to the development of cataracts and retinopathy. The concomitant administration of nonsteroidal anti-inflammatory drugs can increase the hemorrhagic diathesis. The purpose of this study was to investigate the impact of thrombocytopenia during and after intraocular surgery. PATIENTS AND METHODS: A retrospective study of medical files of patients who had undergone cataract and glaucoma filtering surgery and were diagnosed as having thrombocytopenia between 1994--1995 and 1998--1999 was conducted. Eight patients with a total of 11 surgical procedures were included in this study. RESULTS: Hemorrhagic complications occurred in 2 of the 11 procedures, for an incidence of 18%. These 2 cases are described in detail. CONCLUSIONS: The current study confirms that thrombocytopenia is a significant risk factor for perioperative bleeding in ocular surgery. A routine questionnaire should be completed before ocular surgery and a complete blood cell count obtained in suspect cases. Consultation with a hematologist is warranted in cases of thrombocytopenia.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.198
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.054
GPT teacher head0.322
Teacher spread0.268 · 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 teacher head, not a consensus.

Study designObservational
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
Published2005
Admission routes1
Has abstractyes

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